diff --git a/Projects/Extended-Team-Projects/Compliance-Ready-Smart-Camera-System.md b/Projects/Extended-Team-Projects/Compliance-Ready-Smart-Camera-System.md
index a7738672..eaa31070 100644
--- a/Projects/Extended-Team-Projects/Compliance-Ready-Smart-Camera-System.md
+++ b/Projects/Extended-Team-Projects/Compliance-Ready-Smart-Camera-System.md
@@ -57,6 +57,6 @@ Deliverables include:
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Extended-Team-Projects/Human-Centric-Robotics.md b/Projects/Extended-Team-Projects/Human-Centric-Robotics.md
index 9cdab1dc..d637e7db 100644
--- a/Projects/Extended-Team-Projects/Human-Centric-Robotics.md
+++ b/Projects/Extended-Team-Projects/Human-Centric-Robotics.md
@@ -64,6 +64,7 @@ Team size: 2+ participants
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
+
diff --git a/Projects/Projects/AI-Agents.md b/Projects/Projects/AI-Agents.md
index 8bab6c46..48fb3fc5 100644
--- a/Projects/Projects/AI-Agents.md
+++ b/Projects/Projects/AI-Agents.md
@@ -19,6 +19,7 @@ license:
status:
- "Published"
donation:
+
---
@@ -54,7 +55,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
@@ -63,4 +64,8 @@ To receive the benefits, you must show us your project through our [online form]
2. [AI that interprets user requests, generates circuit descriptions, creates LTSpice ASC code, and iteratively refines circuit designs using a combination of GPT-based language models, a vision analysis module, and LTSpice simulation. (Gijeong Lee, Bill Leoutsakos)](https://github.com/BillLeoutsakosvl346/ElectroNinjaRefined)
-3. [AI agent to track real-time student engagement and exam performance (Jasper Wang, Sritej Tummuru, Talha Javed)](https://github.com/JasperWANG-911/AI_Agent)
\ No newline at end of file
+
+3. [AI agent to track real-time student engagement and exam performance (Jasper Wang, Sritej Tummuru, Talha Javed)](https://github.com/JasperWANG-911/AI_Agent)
+
+
+
diff --git a/Projects/Projects/AI-Powered-Porting-Tool.md b/Projects/Projects/AI-Powered-Porting-Tool.md
index a4d84c98..e474f62d 100644
--- a/Projects/Projects/AI-Powered-Porting-Tool.md
+++ b/Projects/Projects/AI-Powered-Porting-Tool.md
@@ -69,6 +69,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/AMBA-Simulator-Framework.md b/Projects/Projects/AMBA-Simulator-Framework.md
index b0781fb9..3ec62ed7 100644
--- a/Projects/Projects/AMBA-Simulator-Framework.md
+++ b/Projects/Projects/AMBA-Simulator-Framework.md
@@ -54,6 +54,7 @@ Similar projects:
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/Academic-Trends-Dashboard.md b/Projects/Projects/Academic-Trends-Dashboard.md
index 620e36ed..c42bfcc5 100644
--- a/Projects/Projects/Academic-Trends-Dashboard.md
+++ b/Projects/Projects/Academic-Trends-Dashboard.md
@@ -55,6 +55,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/Always-On-AI-with-Ethos-U85-NPU.md b/Projects/Projects/Always-On-AI-with-Ethos-U85-NPU.md
index 014da0cd..bbe62a2f 100644
--- a/Projects/Projects/Always-On-AI-with-Ethos-U85-NPU.md
+++ b/Projects/Projects/Always-On-AI-with-Ethos-U85-NPU.md
@@ -74,7 +74,8 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in digital badges for CV building, recognised by Arm Talent Acquisition. We are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
+
diff --git a/Projects/Projects/Architecture-Insight-Dashboard.md b/Projects/Projects/Architecture-Insight-Dashboard.md
index b502173c..af255e97 100644
--- a/Projects/Projects/Architecture-Insight-Dashboard.md
+++ b/Projects/Projects/Architecture-Insight-Dashboard.md
@@ -63,6 +63,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/Arduino-IDE-Windows-on-Arm.md b/Projects/Projects/Arduino-IDE-Windows-on-Arm.md
index a8f567d4..8ff23be5 100644
--- a/Projects/Projects/Arduino-IDE-Windows-on-Arm.md
+++ b/Projects/Projects/Arduino-IDE-Windows-on-Arm.md
@@ -20,6 +20,7 @@ license:
status:
- "Published"
donation:
+
---

@@ -67,6 +68,10 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
+
+
+
+
diff --git a/Projects/Projects/Bioinformatic-Pipeline-Analysis.md b/Projects/Projects/Bioinformatic-Pipeline-Analysis.md
index 065f7642..86235285 100644
--- a/Projects/Projects/Bioinformatic-Pipeline-Analysis.md
+++ b/Projects/Projects/Bioinformatic-Pipeline-Analysis.md
@@ -68,6 +68,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/C-Based-Application-from-Scratch.md b/Projects/Projects/C-Based-Application-from-Scratch.md
index 06816d0f..e9fecd70 100644
--- a/Projects/Projects/C-Based-Application-from-Scratch.md
+++ b/Projects/Projects/C-Based-Application-from-Scratch.md
@@ -53,7 +53,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
@@ -61,3 +61,4 @@ To receive the benefits, you must show us your project through our [online form]
1. [Plant Health Analysis System, Arnav Gupta et al. Imperial College London](https://github.com/Arg2006/ARM_Presentation.git).
2. [VR Voxel Game. Imperial College London](https://github.com/lxkast/vr-voxel-game).
+
diff --git a/Projects/Projects/Edge-AI-On-Mobile.md b/Projects/Projects/Edge-AI-On-Mobile.md
index 4b7f9113..9b8572fc 100644
--- a/Projects/Projects/Edge-AI-On-Mobile.md
+++ b/Projects/Projects/Edge-AI-On-Mobile.md
@@ -1,76 +1,76 @@
----
-title: "SME2 on vivo X300: Mobile Edge AI Projects for multi-modal inference, built on Arm Lumex"
-description: "Leverage the latest SME2 (Scalable Matrix Extension 2) available on the newest vivo X300 smartphones (built on Arm Lumex CSS) for advanced image/video, audio and text processing edge AI. Explore how SME2, via KleidiAI, enables larger matrix workloads, higher throughput, and novel applications on device without cloud connectivity required."
-subjects:
- - "ML"
- - "Performance and Architecture"
- - "Libraries"
-requires-team:
- - "No"
-platform:
- - "Mobile, Graphics, and Gaming"
- - "AI"
- - "IoT"
-sw-hw:
- - "Software"
-support-level:
- - "Self-Service"
- - "Arm Ambassador Support"
-publication-date: 2025-11-27
-license:
-status:
- - "Published"
----
-
-## Description
-
-### Why is this important?
-
-SME2 (Scalable Matrix Extension 2) is the latest CPU extension on Arm Lumex CSS. Designed to accelerate matrix-oriented compute workloads directly on device, SME2 improves AI/ML performance. This is by accelerating models that rely on operations like matrix multiplication, common in transformers, convolutional neural networks (CNNs), and large language models (LLMs). Via KleidiAI, SME2 is seamlessly integrated into frameworks such as ExecuTorch, LiteRT, ONNX Runtime so it is automatically leveraged for applications depending on whether SME2 is present on the host device.
-
-[SME2](https://www.arm.com/technologies/sme2)
-
-The vivo X300 is built on Arm Lumex. SME2 now enables AI compute that previously was too heavy or inaccessible on mobile. Developers can now utilise these advancements to deliver advanced applications on-device, reducing latency, increasing data privacy, and unlocking novel use-cases.
-
-[vivo X300, built on Arm Lumex](https://www.arm.com/company/success-library/vivo-x300-smartphones)
-
-### Project Summary
-
-Select a **mobile edge AI application** that benefits from large matrix operations, multi-modal fusion, or transformer-based processing enabled by SME2. Build and optimize a proof-of-concept application on a vivo X300 phone or other device supporting SME2.
-
-Example project areas:
- - Real-time video semantic segmentation (e.g., background removal + AR compositing)
- - Live object detection + natural-language description (text summary of what the camera sees)
- - Multi-sensor fusion (camera + IMU + microphone) for gesture + voice recognition
- - On-device lightweight LLM or encoder-only transformer processing for mobile assistants
-
-Identify a model architecture that maps to wide matrix operations (e.g., ViT, MLP-Mixer, multi-branch CNN with large FC layers). Utilise a mobile-friendly framework (e.g., ExecuTorch, LiteRT, ONNX Runtime, MediaPipe) to leverage SME2 optimizations. Optimize quantization, memory layout, and verify that the large matrix multiplications get scheduled efficiently on the SME2-enabled CPU. Build a mobile app (Android) that executes the model and utilises it for a compelling use-case.
-
-Utilise the resources and learning paths below and create an exciting and challenging application. Optionally, you could also compare performance vs a reference phone without SME2.
-
----
-
-## Resources from Arm and our partners
-
-- Arm Developer: [Launchpad - Mobile AI](https://developer.arm.com/mobile-graphics-and-gaming/ai-mobile)
-- Learning Path: [Mobile AI/ML Performance Profiling](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/profiling-ml-on-arm/)
-- Learning Path: [Build an Android chat app with Llama, KleidiAI, ExecuTorch, and XNNPACK](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-llama3-chat-android-app-using-executorch-and-xnnpack/)
-- Learning Path: [Vision LLM Inference on Android with KleidiAI](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vision-llm-inference-on-android-with-kleidiai-and-mnn/)
-- Learning Path: [Build a Hands-Free Selfie Android Application with MediaPipe](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-android-selfie-app-using-mediapipe-multimodality/)
-- Repository: [AI on Arm course](https://github.com/arm-university/AI-on-Arm)
-- Arm / Cambridge University edX course: [AI at the Edge on Arm (Mobile)](https://www.edx.org/learn/computer-science/arm-education-ai-at-the-edge-on-arm)
-
----
-
-## Support Level
-
-This project is designed to be self-serve but comes with opportunity of some community support from Arm Ambassadors, who are part of the Arm Developer program. If you are not already part of our program, [click here to join](https://www.arm.com/resources/developer-program?#register).
-
-## Benefits
-
-Standout project contributions will result in digital badges for CV building, recognised by Arm Talent Acquisition. We are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
-
-
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
-
----
\ No newline at end of file
+---
+title: "SME2 on vivo X300: Mobile Edge AI Projects for multi-modal inference, built on Arm Lumex"
+description: "Leverage the latest SME2 (Scalable Matrix Extension 2) available on the newest vivo X300 smartphones (built on Arm Lumex CSS) for advanced image/video, audio and text processing edge AI. Explore how SME2, via KleidiAI, enables larger matrix workloads, higher throughput, and novel applications on device without cloud connectivity required."
+subjects:
+ - "ML"
+ - "Performance and Architecture"
+ - "Libraries"
+requires-team:
+ - "No"
+platform:
+ - "Mobile, Graphics, and Gaming"
+ - "AI"
+ - "IoT"
+sw-hw:
+ - "Software"
+support-level:
+ - "Self-Service"
+ - "Arm Ambassador Support"
+publication-date: 2025-11-27
+license:
+status:
+ - "Published"
+badges: trending
+---
+
+## Description
+
+### Why is this important?
+
+SME2 (Scalable Matrix Extension 2) is the latest CPU extension on Arm Lumex CSS. Designed to accelerate matrix-oriented compute workloads directly on device, SME2 improves AI/ML performance. This is by accelerating models that rely on operations like matrix multiplication, common in transformers, convolutional neural networks (CNNs), and large language models (LLMs). Via KleidiAI, SME2 is seamlessly integrated into frameworks such as ExecuTorch, LiteRT, ONNX Runtime so it is automatically leveraged for applications depending on whether SME2 is present on the host device.
+
+[SME2](https://www.arm.com/technologies/sme2)
+
+The vivo X300 is built on Arm Lumex. SME2 now enables AI compute that previously was too heavy or inaccessible on mobile. Developers can now utilise these advancements to deliver advanced applications on-device, reducing latency, increasing data privacy, and unlocking novel use-cases.
+
+[vivo X300, built on Arm Lumex](https://www.arm.com/company/success-library/vivo-x300-smartphones)
+
+### Project Summary
+
+Select a **mobile edge AI application** that benefits from large matrix operations, multi-modal fusion, or transformer-based processing enabled by SME2. Build and optimize a proof-of-concept application on a vivo X300 phone or other device supporting SME2.
+
+Example project areas:
+ - Real-time video semantic segmentation (e.g., background removal + AR compositing)
+ - Live object detection + natural-language description (text summary of what the camera sees)
+ - Multi-sensor fusion (camera + IMU + microphone) for gesture + voice recognition
+ - On-device lightweight LLM or encoder-only transformer processing for mobile assistants
+
+Identify a model architecture that maps to wide matrix operations (e.g., ViT, MLP-Mixer, multi-branch CNN with large FC layers). Utilise a mobile-friendly framework (e.g., ExecuTorch, LiteRT, ONNX Runtime, MediaPipe) to leverage SME2 optimizations. Optimize quantization, memory layout, and verify that the large matrix multiplications get scheduled efficiently on the SME2-enabled CPU. Build a mobile app (Android) that executes the model and utilises it for a compelling use-case.
+
+Utilise the resources and learning paths below and create an exciting and challenging application. Optionally, you could also compare performance vs a reference phone without SME2.
+
+---
+
+## Resources from Arm and our partners
+
+- Arm Developer: [Launchpad - Mobile AI](https://developer.arm.com/mobile-graphics-and-gaming/ai-mobile)
+- Learning Path: [Mobile AI/ML Performance Profiling](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/profiling-ml-on-arm/)
+- Learning Path: [Build an Android chat app with Llama, KleidiAI, ExecuTorch, and XNNPACK](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-llama3-chat-android-app-using-executorch-and-xnnpack/)
+- Learning Path: [Vision LLM Inference on Android with KleidiAI](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vision-llm-inference-on-android-with-kleidiai-and-mnn/)
+- Learning Path: [Build a Hands-Free Selfie Android Application with MediaPipe](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-android-selfie-app-using-mediapipe-multimodality/)
+- Repository: [AI on Arm course](https://github.com/arm-university/AI-on-Arm)
+- Arm / Cambridge University edX course: [AI at the Edge on Arm (Mobile)](https://www.edx.org/learn/computer-science/arm-education-ai-at-the-edge-on-arm)
+
+---
+
+## Support Level
+
+This project is designed to be self-serve but comes with opportunity of some community support from Arm Ambassadors, who are part of the Arm Developer program. If you are not already part of our program, [click here to join](https://www.arm.com/resources/developer-program?#register).
+
+## Benefits
+
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
+
+---
diff --git a/Projects/Projects/Ethos-U85-NPU-Applications.md b/Projects/Projects/Ethos-U85-NPU-Applications.md
index f9f7015d..245f641e 100644
--- a/Projects/Projects/Ethos-U85-NPU-Applications.md
+++ b/Projects/Projects/Ethos-U85-NPU-Applications.md
@@ -1,117 +1,118 @@
----
-title: "Ethos-U85 NPU Applications with TOSA Model Explorer: Exploring Next-Gen Edge AI Inference"
-description: "Push the limits of Edge AI by deploying the heaviest inference applications possible on Ethos-U85. Students will explore transformer-based and TOSA-optimized workloads that demonstrate performance levels on the next-gen of Ethos NPUs."
-subjects:
- - "ML"
- - "Performance and Architecture"
-requires-team:
- - "No"
-platform:
- - "IoT"
- - "Embedded and Microcontrollers"
- - "AI"
-sw-hw:
- - "Software"
- - "Hardware"
-support-level:
- - "Self-Service"
- - "Arm Ambassador Support"
-publication-date: 2025-11-27
-license:
-status:
- - "Published"
-donation:
----
-
-
-
-## Description
-
-**Why is this important?**
-
-The Arm Ethos-U85 NPU represents a major leap in bringing *heavy inference* to constrained embedded systems. With its full transformer operator support, expanded MAC throughput, and native TOSA compatibility, the Ethos-U85 enables developers to deploy models and workloads that were previously too intensive for MCU-class devices.
-
-This project challenges you to explore the boundaries of what’s possible on Ethos-U85. The goal is to demonstrate inference performance and model complexity that is now achievable due to the architectural improvements and transformer acceleration capabilities of the Ethos-U85.
-
-[Ethos-U85 Launch](https://newsroom.arm.com/blog/ethos-u85)
-
-**Project Summary**
-
-Using hardware such as the Alif Ensemble E4/E6/E8 DevKits (all include Ethos-U85) or a comparable platform or Arm Fixed Virtual Platform Corstone-320, your task is to design and benchmark an advanced edge inference application that exploits the Ethos-U85’s compute and transformer capabilities.
-
-Your project should include:
-
-1. Model Deployment and Optimization
- Select a computationally intensive model — ideally transformer-based or multi-branch convolutional — and deploy it on the Ethos-U85 using:
- - The TOSA Model Explorer extension to inspect and adapt unsupported or experimental models for TOSA compliance.
- - The Vela compiler for optimization.
-
- These tools can be used to:
- - Convert and visualize model graphs in TOSA format.
- - Identify unsupported operators.
- - Modify or substitute layers for compatibility using the Flatbuffers schema before re-exporting.
- - Run Vela for optimized compilation targeting Ethos-U85.
-
-2. Application Demonstration
- Implement a working example that highlights the Ethos-U85’s strengths in real-world inference. Possible categories include:
- - Transformers on Edge: lightweight BERT, ViT, or audio transformers (e.g. speech or sound event classification).
- - High-resolution Vision: semantic segmentation, object detection on large input sizes, or multi-head perception networks.
- - Multi-modal Fusion: combining audio, image, or sensor streams for contextual understanding.
-
-3. Analysis and Benchmarking
- Report quantitative results on:
- - Inference latency, throughput (FPS or tokens/s), and memory footprint.
- - Power efficiency under load (optional).
- - Comparative performance versus Ethos-U55/U65 (use available benchmarks for reference or utilise the other Ethos-U NPUs provided in the Alif DevKits).
- - The effect of TOSA optimization — demonstrate measurable improvements from graph conversion and operator fusion.
-
----
-
-## What kind of projects should you target?
-
-To clearly demonstrate the leap from Ethos-U55/U65 to U85, choose projects that meet at least one of the following criteria:
-
-- Transformer-heavy architectures: e.g. attention blocks, transformer encoders, ViTs, or hybrid CNN+transformer models.
- - *Example:* an audio event detection transformer that must process longer sequences or higher-resolution spectrograms.
-- High-resolution or multi-branch networks: models with high input dimensionality or multiple processing paths that saturate NPU throughput.
- - *Example:* 512×512 semantic segmentation or multi-object detection.
-- Dense post-processing or large fully connected layers: cases where U55/U65 memory limits or MAC bandwidth previously restricted performance.
- - *Example:* large MLP heads or transformer token mixers.
-- Multi-modal pipelines: combining multiple sensor inputs (e.g. image + IMU + audio) where the NPU must maintain concurrency or shared intermediate representations.
-
-The Ethos-U85 is ideal for projects where model performance is constrained by attention layers, large activations, or operator types that previously required fallback to the CPU. Use the Ethos-U85 to eliminate those fallbacks and achieve full-NPU execution of advanced topologies.
-
----
-
-## What will you use?
-You should be familiar with, or willing to learn about:
-- Programming: Python, C/C++
-- ExecuTorch or TensorFlow Lite (Micro/LiteRT)
-- Techniques for optimising AI models for the edge (quantization, pruning, etc.)
-- Optimization Tools:
- - TOSA Model Explorer
- - .tflite to .tosa converter (if using Tensorflow rather than ExecuTorch)
- - Vela compiler for Ethos-U
-- Bare-metal or RTOS (e.g., Zephyr)
-
----
-
-## Resources from Arm and our partners
-- Arm Developer: [Edge AI](https://developer.arm.com/edge-ai)
-- Learning Path: [Navigating Machine Learning with Ethos-U processors](https://learn.arm.com/learning-paths/microcontrollers/nav-mlek/)
-- Repository: [AI on Arm course](https://github.com/arm-university/AI-on-Arm)
-- Example Board: [Alif Ensemble DevKit E8](https://www.keil.arm.com/boards/alif-semiconductor-devkit-e8-gen-1-2558a7b/features/)
-- Documentation: [TOSA Specification](https://www.mlplatform.org/tosa/), [TOSA Model Explorer](https://github.com/arm/tosa-adapter-model-explorer), and [TOSA Reference Model](https://gitlab.arm.com/tosa/tosa-reference-model)
-- PyTorch Blog: [ExecuTorch support for Ethos-U85](https://pytorch.org/blog/pt-executorch-ethos-u85/)
----
-
-## Support Level
-
-This project is designed to be self-serve but comes with opportunity of some community support from Arm Ambassadors, who are part of the Arm Developer program. If you are not already part of our program, [click here to join](https://www.arm.com/resources/developer-program?#register).
-
-## Benefits
-
-Standout project contributions will result in digital badges for CV building, recognised by Arm Talent Acquisition. We are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
-
-
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+---
+title: "Ethos-U85 NPU Applications with TOSA Model Explorer: Exploring Next-Gen Edge AI Inference"
+description: "Push the limits of Edge AI by deploying the heaviest inference applications possible on Ethos-U85. Students will explore transformer-based and TOSA-optimized workloads that demonstrate performance levels on the next-gen of Ethos NPUs."
+subjects:
+ - "ML"
+ - "Performance and Architecture"
+requires-team:
+ - "No"
+platform:
+ - "IoT"
+ - "Embedded and Microcontrollers"
+ - "AI"
+sw-hw:
+ - "Software"
+ - "Hardware"
+support-level:
+ - "Self-Service"
+ - "Arm Ambassador Support"
+publication-date: 2025-11-27
+license:
+status:
+ - "Published"
+badges: trending
+donation:
+---
+
+
+
+## Description
+
+**Why is this important?**
+
+The Arm Ethos-U85 NPU represents a major leap in bringing *heavy inference* to constrained embedded systems. With its full transformer operator support, expanded MAC throughput, and native TOSA compatibility, the Ethos-U85 enables developers to deploy models and workloads that were previously too intensive for MCU-class devices.
+
+This project challenges you to explore the boundaries of what’s possible on Ethos-U85. The goal is to demonstrate inference performance and model complexity that is now achievable due to the architectural improvements and transformer acceleration capabilities of the Ethos-U85.
+
+[Ethos-U85 Launch](https://newsroom.arm.com/blog/ethos-u85)
+
+**Project Summary**
+
+Using hardware such as the Alif Ensemble E4/E6/E8 DevKits (all include Ethos-U85) or a comparable platform or Arm Fixed Virtual Platform Corstone-320, your task is to design and benchmark an advanced edge inference application that exploits the Ethos-U85’s compute and transformer capabilities.
+
+Your project should include:
+
+1. Model Deployment and Optimization
+ Select a computationally intensive model — ideally transformer-based or multi-branch convolutional — and deploy it on the Ethos-U85 using:
+ - The TOSA Model Explorer extension to inspect and adapt unsupported or experimental models for TOSA compliance.
+ - The Vela compiler for optimization.
+
+ These tools can be used to:
+ - Convert and visualize model graphs in TOSA format.
+ - Identify unsupported operators.
+ - Modify or substitute layers for compatibility using the Flatbuffers schema before re-exporting.
+ - Run Vela for optimized compilation targeting Ethos-U85.
+
+2. Application Demonstration
+ Implement a working example that highlights the Ethos-U85’s strengths in real-world inference. Possible categories include:
+ - Transformers on Edge: lightweight BERT, ViT, or audio transformers (e.g. speech or sound event classification).
+ - High-resolution Vision: semantic segmentation, object detection on large input sizes, or multi-head perception networks.
+ - Multi-modal Fusion: combining audio, image, or sensor streams for contextual understanding.
+
+3. Analysis and Benchmarking
+ Report quantitative results on:
+ - Inference latency, throughput (FPS or tokens/s), and memory footprint.
+ - Power efficiency under load (optional).
+ - Comparative performance versus Ethos-U55/U65 (use available benchmarks for reference or utilise the other Ethos-U NPUs provided in the Alif DevKits).
+ - The effect of TOSA optimization — demonstrate measurable improvements from graph conversion and operator fusion.
+
+---
+
+## What kind of projects should you target?
+
+To clearly demonstrate the leap from Ethos-U55/U65 to U85, choose projects that meet at least one of the following criteria:
+
+- Transformer-heavy architectures: e.g. attention blocks, transformer encoders, ViTs, or hybrid CNN+transformer models.
+ - *Example:* an audio event detection transformer that must process longer sequences or higher-resolution spectrograms.
+- High-resolution or multi-branch networks: models with high input dimensionality or multiple processing paths that saturate NPU throughput.
+ - *Example:* 512×512 semantic segmentation or multi-object detection.
+- Dense post-processing or large fully connected layers: cases where U55/U65 memory limits or MAC bandwidth previously restricted performance.
+ - *Example:* large MLP heads or transformer token mixers.
+- Multi-modal pipelines: combining multiple sensor inputs (e.g. image + IMU + audio) where the NPU must maintain concurrency or shared intermediate representations.
+
+The Ethos-U85 is ideal for projects where model performance is constrained by attention layers, large activations, or operator types that previously required fallback to the CPU. Use the Ethos-U85 to eliminate those fallbacks and achieve full-NPU execution of advanced topologies.
+
+---
+
+## What will you use?
+You should be familiar with, or willing to learn about:
+- Programming: Python, C/C++
+- ExecuTorch or TensorFlow Lite (Micro/LiteRT)
+- Techniques for optimising AI models for the edge (quantization, pruning, etc.)
+- Optimization Tools:
+ - TOSA Model Explorer
+ - .tflite to .tosa converter (if using Tensorflow rather than ExecuTorch)
+ - Vela compiler for Ethos-U
+- Bare-metal or RTOS (e.g., Zephyr)
+
+---
+
+## Resources from Arm and our partners
+- Arm Developer: [Edge AI](https://developer.arm.com/edge-ai)
+- Learning Path: [Navigating Machine Learning with Ethos-U processors](https://learn.arm.com/learning-paths/microcontrollers/nav-mlek/)
+- Repository: [AI on Arm course](https://github.com/arm-university/AI-on-Arm)
+- Example Board: [Alif Ensemble DevKit E8](https://www.keil.arm.com/boards/alif-semiconductor-devkit-e8-gen-1-2558a7b/features/)
+- Documentation: [TOSA Specification](https://www.mlplatform.org/tosa/), [TOSA Model Explorer](https://github.com/arm/tosa-adapter-model-explorer), and [TOSA Reference Model](https://gitlab.arm.com/tosa/tosa-reference-model)
+- PyTorch Blog: [ExecuTorch support for Ethos-U85](https://pytorch.org/blog/pt-executorch-ethos-u85/)
+---
+
+## Support Level
+
+This project is designed to be self-serve but comes with opportunity of some community support from Arm Ambassadors, who are part of the Arm Developer program. If you are not already part of our program, [click here to join](https://www.arm.com/resources/developer-program?#register).
+
+## Benefits
+
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/FPGA-Accellerator-with-DDR.md b/Projects/Projects/FPGA-Accellerator-with-DDR.md
index f5050f41..220c0317 100644
--- a/Projects/Projects/FPGA-Accellerator-with-DDR.md
+++ b/Projects/Projects/FPGA-Accellerator-with-DDR.md
@@ -42,6 +42,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/Game-Dev-Using-Neural-Graphics-&-Unreal-Engine.md b/Projects/Projects/Game-Dev-Using-Neural-Graphics-&-Unreal-Engine.md
index 53eca7a5..535ac5d1 100644
--- a/Projects/Projects/Game-Dev-Using-Neural-Graphics-&-Unreal-Engine.md
+++ b/Projects/Projects/Game-Dev-Using-Neural-Graphics-&-Unreal-Engine.md
@@ -1,90 +1,91 @@
----
-title: "Game development using Arm Neural Graphics with Unreal Engine"
-description: "Build a playable Unreal Engine 5 game demo that utilises Arm’s Neural Graphics SDK UE plugin for features such as Neural Super Sampling (NSS). Showcase near-identical image quality at lower resolution by driving neural rendering directly in the graphics pipeline."
-subjects:
- - "ML"
- - "Gaming"
- - "Libraries"
- - "Graphics"
-requires-team:
- - "No"
-platform:
- - "Mobile, Graphics, and Gaming"
- - "Laptops and Desktops"
- - "AI"
-sw-hw:
- - "Software"
-support-level:
- - "Self-Service"
- - "Arm Ambassador Support"
-publication-date: 2025-11-27
-license:
-status:
- - "Published"
-donation:
----
-
-
-
-## Description
-
-### Why is this important?
-
-Arm neural technology is an industry first, adding dedicated neural accelerators to Arm GPUs, bringing PC-quality, AI powered graphics to mobile for the first time – and laying the foundation for future on-device AI innovation.
-
-Developers can start building now with the industry’s first open development kit for neural graphics with an Unreal Engine plugin, emulators, and open models on GitHub and Hugging Face.
-
-[Arm Neural Technology Announcement](https://newsroom.arm.com/news/arm-announces-arm-neural-technology)
-
-Neural Super Sampling (NSS) is Arm’s mobile-optimized AI-driven graphics upscaler that improves image quality while lowering resolution. It builds on a prior Arm solution: Accuracy Super Resolution (ASR). It is supported by an Unreal Engine plugin, streamlining its use as part of a typical industry games development process.
-
-Future SDK support will be provided for Neural Frame Rate Upscaling (NFRU) - so feel free to extend this project using NFRU when released.
-
-### Project Summary
-
-Create a small game scene utilising the Arm Neural Graphics UE plugin to demonstrate:
-- **Near-identical visuals at lower resolution** (render low → upscale with NSS)
-
-Document your progress and findings and consider alternative applications of the neural technology within games development.
-
-Attempt different environments and objects. For example:
-
-- Daytime vs night
-- Urban city, jungle forest, ocean floor, alien planet, building interiors
-- Complex lighting and shadows
-- NPCs with detailed clothing, faces, hair. Include animations.
-
-Make your scenes dynamic with particle effects, shadows, physics and motion.
-
----
-
-## Pre-requisites
-- Laptop/PC/Mobile for Android Unreal Engine game development
-- Willingness to learn about games development and graphics, and the increasing use of AI in these fields.
-
----
-
-## Resources from Arm and partners
-- Get Started Blog: [Start experimenting with NSS today](https://developer.arm.com/community/arm-community-blogs/b/mobile-graphics-and-gaming-blog/posts/how-to-access-arm-neural-super-sampling)
-- Deep Dive Blog: [How NSS works](https://developer.arm.com/community/arm-community-blogs/b/mobile-graphics-and-gaming-blog/posts/how-arm-neural-super-sampling-works)
-- Arm Developer: [Neural Graphics Development Kit](https://developer.arm.com/mobile-graphics-and-gaming/neural-graphics)
-- Learning Path: [Fine-tuning neural graphics models with Model Gym](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/model-training-gym/)
-- Learning Path: [Neural Super Sampling in Unreal Engine](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/nss-unreal/)
-- Learning Path: [Getting started with Arm Accuracy Super Resolution (Arm ASR)](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/get-started-with-arm-asr/)
-- Unreal Engine Intro by Epic Games: [Understanding the basics](https://dev.epicgames.com/documentation/en-us/unreal-engine/understanding-the-basics-of-unreal-engine)
-- Repo: [Arm Neural Graphics SDK](https://github.com/arm/neural-graphics-sdk-for-game-engines)
-- Repo: [Arm Neural Graphics Model Gym](https://github.com/arm/neural-graphics-model-gym)
-- Documentation: [Arm Neural Graphics SDK for Game Engines Developer guide](https://developer.arm.com/documentation/111167/latest/)
-
----
-
-## Support Level
-
-This project is designed to be self-serve but comes with opportunity of some community support from Arm Ambassadors, who are part of the Arm Developer program. If you are not already part of our program, [click here to join](https://www.arm.com/resources/developer-program?#register).
-
-## Benefits
-
-Standout project contributions will result in digital badges for CV building, recognised by Arm Talent Acquisition. We are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
-
-
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+---
+title: "Game development using Arm Neural Graphics with Unreal Engine"
+description: "Build a playable Unreal Engine 5 game demo that utilises Arm’s Neural Graphics SDK UE plugin for features such as Neural Super Sampling (NSS). Showcase near-identical image quality at lower resolution by driving neural rendering directly in the graphics pipeline."
+subjects:
+ - "ML"
+ - "Gaming"
+ - "Libraries"
+ - "Graphics"
+requires-team:
+ - "No"
+platform:
+ - "Mobile, Graphics, and Gaming"
+ - "Laptops and Desktops"
+ - "AI"
+sw-hw:
+ - "Software"
+support-level:
+ - "Self-Service"
+ - "Arm Ambassador Support"
+publication-date: 2025-11-27
+license:
+status:
+ - "Published"
+badges: trending
+donation:
+---
+
+
+
+## Description
+
+### Why is this important?
+
+Arm neural technology is an industry first, adding dedicated neural accelerators to Arm GPUs, bringing PC-quality, AI powered graphics to mobile for the first time – and laying the foundation for future on-device AI innovation.
+
+Developers can start building now with the industry’s first open development kit for neural graphics with an Unreal Engine plugin, emulators, and open models on GitHub and Hugging Face.
+
+[Arm Neural Technology Announcement](https://newsroom.arm.com/news/arm-announces-arm-neural-technology)
+
+Neural Super Sampling (NSS) is Arm’s mobile-optimized AI-driven graphics upscaler that improves image quality while lowering resolution. It builds on a prior Arm solution: Accuracy Super Resolution (ASR). It is supported by an Unreal Engine plugin, streamlining its use as part of a typical industry games development process.
+
+Future SDK support will be provided for Neural Frame Rate Upscaling (NFRU) - so feel free to extend this project using NFRU when released.
+
+### Project Summary
+
+Create a small game scene utilising the Arm Neural Graphics UE plugin to demonstrate:
+- **Near-identical visuals at lower resolution** (render low → upscale with NSS)
+
+Document your progress and findings and consider alternative applications of the neural technology within games development.
+
+Attempt different environments and objects. For example:
+
+- Daytime vs night
+- Urban city, jungle forest, ocean floor, alien planet, building interiors
+- Complex lighting and shadows
+- NPCs with detailed clothing, faces, hair. Include animations.
+
+Make your scenes dynamic with particle effects, shadows, physics and motion.
+
+---
+
+## Pre-requisites
+- Laptop/PC/Mobile for Android Unreal Engine game development
+- Willingness to learn about games development and graphics, and the increasing use of AI in these fields.
+
+---
+
+## Resources from Arm and partners
+- Get Started Blog: [Start experimenting with NSS today](https://developer.arm.com/community/arm-community-blogs/b/mobile-graphics-and-gaming-blog/posts/how-to-access-arm-neural-super-sampling)
+- Deep Dive Blog: [How NSS works](https://developer.arm.com/community/arm-community-blogs/b/mobile-graphics-and-gaming-blog/posts/how-arm-neural-super-sampling-works)
+- Arm Developer: [Neural Graphics Development Kit](https://developer.arm.com/mobile-graphics-and-gaming/neural-graphics)
+- Learning Path: [Fine-tuning neural graphics models with Model Gym](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/model-training-gym/)
+- Learning Path: [Neural Super Sampling in Unreal Engine](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/nss-unreal/)
+- Learning Path: [Getting started with Arm Accuracy Super Resolution (Arm ASR)](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/get-started-with-arm-asr/)
+- Unreal Engine Intro by Epic Games: [Understanding the basics](https://dev.epicgames.com/documentation/en-us/unreal-engine/understanding-the-basics-of-unreal-engine)
+- Repo: [Arm Neural Graphics SDK](https://github.com/arm/neural-graphics-sdk-for-game-engines)
+- Repo: [Arm Neural Graphics Model Gym](https://github.com/arm/neural-graphics-model-gym)
+- Documentation: [Arm Neural Graphics SDK for Game Engines Developer guide](https://developer.arm.com/documentation/111167/latest/)
+
+---
+
+## Support Level
+
+This project is designed to be self-serve but comes with opportunity of some community support from Arm Ambassadors, who are part of the Arm Developer program. If you are not already part of our program, [click here to join](https://www.arm.com/resources/developer-program?#register).
+
+## Benefits
+
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/HPC-Algorithm.md b/Projects/Projects/HPC-Algorithm.md
index 8c772899..e5209ed5 100644
--- a/Projects/Projects/HPC-Algorithm.md
+++ b/Projects/Projects/HPC-Algorithm.md
@@ -19,6 +19,7 @@ license:
status:
- "Published"
donation:
+badges: trending
---
@@ -53,6 +54,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/Haskell-Compiler-Windows-on-Arm.md b/Projects/Projects/Haskell-Compiler-Windows-on-Arm.md
index 5c61c98c..f06a8ae1 100644
--- a/Projects/Projects/Haskell-Compiler-Windows-on-Arm.md
+++ b/Projects/Projects/Haskell-Compiler-Windows-on-Arm.md
@@ -68,6 +68,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
+
diff --git a/Projects/Projects/LLM-Benchmark-on-Arm-Server.md b/Projects/Projects/LLM-Benchmark-on-Arm-Server.md
index 7855110c..ad9c8868 100644
--- a/Projects/Projects/LLM-Benchmark-on-Arm-Server.md
+++ b/Projects/Projects/LLM-Benchmark-on-Arm-Server.md
@@ -45,6 +45,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/Machine-Learning-on-AWS-Graviton.md b/Projects/Projects/Machine-Learning-on-AWS-Graviton.md
index 21389beb..97b1627c 100644
--- a/Projects/Projects/Machine-Learning-on-AWS-Graviton.md
+++ b/Projects/Projects/Machine-Learning-on-AWS-Graviton.md
@@ -60,7 +60,7 @@ The aim of this project is to port, benchmark, and optimize a pre-trained ViT mo
This project is designed to be self-serve but comes with opportunity of some community support from Arm Ambassadors, who are part of the Arm Developer program. If you are not already part of our program, [click here to join](https://www.arm.com/resources/developer-program?#register).
## Benefits
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/NPC-LLM-Runtime.md b/Projects/Projects/NPC-LLM-Runtime.md
index 707dc588..1f75a06d 100644
--- a/Projects/Projects/NPC-LLM-Runtime.md
+++ b/Projects/Projects/NPC-LLM-Runtime.md
@@ -19,6 +19,7 @@ publication-date: 2025-08-28
license:
status:
- "Published"
+badges: trending
donation:
---
@@ -65,6 +66,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/Processor-in-the-Loop-Automotive.md b/Projects/Projects/Processor-in-the-Loop-Automotive.md
index e42fecc7..a6bee43b 100644
--- a/Projects/Projects/Processor-in-the-Loop-Automotive.md
+++ b/Projects/Projects/Processor-in-the-Loop-Automotive.md
@@ -67,6 +67,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
+
diff --git a/Projects/Projects/Python-Porting-Challenge.md b/Projects/Projects/Python-Porting-Challenge.md
index 49572f8d..5c59375d 100644
--- a/Projects/Projects/Python-Porting-Challenge.md
+++ b/Projects/Projects/Python-Porting-Challenge.md
@@ -1,68 +1,68 @@
----
-title: "Python Package Porting Challenge"
-description: "This challenge focuses on enabling Python support for Windows on Arm (WoA) to improve developer experience. While Python is widely used in research and industry, many popular packages—such as Pandas—still lack pre-built WoA binaries (win_arm64 wheels). The goal is to validate and optimise third-party packages, fix compatibility issues, and collaborate with maintainers to upstream WoA support."
-subjects:
- - "Libraries"
-requires-team:
- - "No"
-platform:
- - "Laptops and Desktops"
-sw-hw:
- - "Software"
-support-level:
- - "Self-Service"
- - "Arm Ambassador Support"
-publication-date: 2025-11-03
-license:
-status:
- - "Published"
-donation:
----
-
-
-
-### *We are open to supporting participants through hardware donations, such as gift cards to help procure Windows on Arm laptops for development and research purposes. Please reach out to us at Arm-Developer-Labs@arm.com for more details on eligibility*
-
-## Description
-
-Windows on Arm brings the power of Arm architecture to Windows users, delivering energy efficiency and performance for a wide range of devices. As adoption grows, ensuring a seamless developer experience is critical, especially for Python, one of the most widely used languages in research, education, and industry.
-
-This challenge is on advancing the Arm ecosystem by addressing critical gaps in software enablement. A key objective is enabling Windows on Arm (WoA) across the WoA Python package ecosystem, which involves validating and optimising 3rd party packages to ensure seamless functionality across diverse environments.
-
-Despite Python’s widespread adoption, many popular packages such as Pandas still lack pre-built Windows on Arm binaries (`win_arm64` wheels), creating a barrier for developers and researchers who rely on these tools for data analysis and scientific computing. If a Windows on Arm Python developer wanted to use Pandas, they would have to recompile from source, which required the correct toolchain and is not guaranteed to compile or run successfully.
-
-Key Objectives:
-
-- Python Ecosystem Enablement: Turn at least 5 amber projects green on [Windows Arm64 Wheels](https://tonybaloney.github.io/windows-arm64-wheels/).
-- Identify packages that do not have readily available `win_arm64` wheels. Identify any bugs or regressions when porting to application (for example, `x86` instrinsics) and create a patch that resolves issues and enables the packages to correctly build and run performantly.
-- Community Collaboration: Engage with global developer communities, such as Python package maintainers, to get WoA package support upstreamed and integrated.
-
-
-## Prequisites
-
-- Intermediate to advance understanding of the Python language
-- Some experience on creating python packages and continuous integration testing.
-- If you decide to tackle non pure-python packages that are written in other languages, you will need an intermediate understanding of the language the program was written in (e.g., Rust, Java, C++ etc.).
-
-## Resources from Arm and our partners
-
-- External Documentation: [Methods to run Windows on Arm64](https://linaro.atlassian.net/wiki/spaces/WOAR/pages/29005479987/Windows+on+Arm+Environments)
-- External Documentation: [Python Packages without Windows-on-Arm Wheels](https://tonybaloney.github.io/windows-arm64-wheels/)
-- External Documentation: [Python Packages without Windows-on-Arm Wheels additional resource](http://www.winarm64wheels.com/)
-- Learning Path: [Sampling CPython with WindowsPerf](https://learn.arm.com/learning-paths/laptops-and-desktops/windowsperf_sampling_cpython/)
-- Community Post: [Python on Windows Arm64](https://discuss.python.org/t/python-on-windows-arm64/104524)
-- External Documentation: [Status of Python versions](https://devguide.python.org/versions/)
-- GitHub Repository: [Source code and documentation to build Python Wheels](https://github.com/pypa/cibuildwheel)
-
-
-## Support Level
-
-If you would like to request a small donation to help procure Windows on Arm hardware, please reach out to us at Arm-Developer-Lab@arm.com.
-
-This project is designed to be self-serve but comes with opportunity of some community support from Arm Ambassadors, who are part of the Arm Developer program. If you are not already part of our program, [click here to join](https://www.arm.com/resources/developer-program?#register).
-
-## Benefits
-
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
-
-To receive the benefits, you must share your contribution through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+---
+title: "Python Package Porting Challenge"
+description: "This challenge focuses on enabling Python support for Windows on Arm (WoA) to improve developer experience. While Python is widely used in research and industry, many popular packages—such as Pandas—still lack pre-built WoA binaries (win_arm64 wheels). The goal is to validate and optimise third-party packages, fix compatibility issues, and collaborate with maintainers to upstream WoA support."
+subjects:
+ - "Libraries"
+requires-team:
+ - "No"
+platform:
+ - "Laptops and Desktops"
+sw-hw:
+ - "Software"
+support-level:
+ - "Self-Service"
+ - "Arm Ambassador Support"
+publication-date: 2025-11-03
+license:
+status:
+ - "Published"
+donation:
+---
+
+
+
+### *We are open to supporting participants through hardware donations, such as gift cards to help procure Windows on Arm laptops for development and research purposes. Please reach out to us at Arm-Developer-Labs@arm.com for more details on eligibility*
+
+## Description
+
+Windows on Arm brings the power of Arm architecture to Windows users, delivering energy efficiency and performance for a wide range of devices. As adoption grows, ensuring a seamless developer experience is critical, especially for Python, one of the most widely used languages in research, education, and industry.
+
+This challenge is on advancing the Arm ecosystem by addressing critical gaps in software enablement. A key objective is enabling Windows on Arm (WoA) across the WoA Python package ecosystem, which involves validating and optimising 3rd party packages to ensure seamless functionality across diverse environments.
+
+Despite Python’s widespread adoption, many popular packages such as Pandas still lack pre-built Windows on Arm binaries (`win_arm64` wheels), creating a barrier for developers and researchers who rely on these tools for data analysis and scientific computing. If a Windows on Arm Python developer wanted to use Pandas, they would have to recompile from source, which required the correct toolchain and is not guaranteed to compile or run successfully.
+
+Key Objectives:
+
+- Python Ecosystem Enablement: Turn at least 5 amber projects green on [Windows Arm64 Wheels](https://tonybaloney.github.io/windows-arm64-wheels/).
+- Identify packages that do not have readily available `win_arm64` wheels. Identify any bugs or regressions when porting to application (for example, `x86` instrinsics) and create a patch that resolves issues and enables the packages to correctly build and run performantly.
+- Community Collaboration: Engage with global developer communities, such as Python package maintainers, to get WoA package support upstreamed and integrated.
+
+
+## Prequisites
+
+- Intermediate to advance understanding of the Python language
+- Some experience on creating python packages and continuous integration testing.
+- If you decide to tackle non pure-python packages that are written in other languages, you will need an intermediate understanding of the language the program was written in (e.g., Rust, Java, C++ etc.).
+
+## Resources from Arm and our partners
+
+- External Documentation: [Methods to run Windows on Arm64](https://linaro.atlassian.net/wiki/spaces/WOAR/pages/29005479987/Windows+on+Arm+Environments)
+- External Documentation: [Python Packages without Windows-on-Arm Wheels](https://tonybaloney.github.io/windows-arm64-wheels/)
+- External Documentation: [Python Packages without Windows-on-Arm Wheels additional resource](http://www.winarm64wheels.com/)
+- Learning Path: [Sampling CPython with WindowsPerf](https://learn.arm.com/learning-paths/laptops-and-desktops/windowsperf_sampling_cpython/)
+- Community Post: [Python on Windows Arm64](https://discuss.python.org/t/python-on-windows-arm64/104524)
+- External Documentation: [Status of Python versions](https://devguide.python.org/versions/)
+- GitHub Repository: [Source code and documentation to build Python Wheels](https://github.com/pypa/cibuildwheel)
+
+
+## Support Level
+
+If you would like to request a small donation to help procure Windows on Arm hardware, please reach out to us at Arm-Developer-Lab@arm.com.
+
+This project is designed to be self-serve but comes with opportunity of some community support from Arm Ambassadors, who are part of the Arm Developer program. If you are not already part of our program, [click here to join](https://www.arm.com/resources/developer-program?#register).
+
+## Benefits
+
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
+To receive the benefits, you must share your contribution through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/Quantisation-Aware-Training.md b/Projects/Projects/Quantisation-Aware-Training.md
index 8f3eb952..7111a631 100644
--- a/Projects/Projects/Quantisation-Aware-Training.md
+++ b/Projects/Projects/Quantisation-Aware-Training.md
@@ -59,6 +59,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
+
diff --git a/Projects/Projects/R-Arm-Community-Support.md b/Projects/Projects/R-Arm-Community-Support.md
index baf9dfe8..d38f8368 100644
--- a/Projects/Projects/R-Arm-Community-Support.md
+++ b/Projects/Projects/R-Arm-Community-Support.md
@@ -74,6 +74,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/Real-Time-Image-Classification.md b/Projects/Projects/Real-Time-Image-Classification.md
index 83ccc6c0..01c5c857 100644
--- a/Projects/Projects/Real-Time-Image-Classification.md
+++ b/Projects/Projects/Real-Time-Image-Classification.md
@@ -55,6 +55,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/Responsible-AI-and-Yellow-Teaming.md b/Projects/Projects/Responsible-AI-and-Yellow-Teaming.md
index 79cb96c9..56126133 100644
--- a/Projects/Projects/Responsible-AI-and-Yellow-Teaming.md
+++ b/Projects/Projects/Responsible-AI-and-Yellow-Teaming.md
@@ -1,82 +1,82 @@
----
-title: "Responsible AI and Yellow Teaming"
-description: "This self-service project equips teams with a YellowTeamGPT workflow that probes Arm-based AI products for unintended impacts—turning responsible-AI stress-testing into a core step of the development cycle."
-subjects:
- - "ML"
-requires-team:
- - "No"
-platform:
- - "Servers and Cloud Computing"
- - "Laptops and Desktops"
- - "AI"
-sw-hw:
- - "Software"
-support-level:
- - "Self-Service"
- - "Arm Ambassador Support"
-publication-date: 2025-05-30
-license:
-status:
- - "Published"
-donation:
----
-
-## Description
-
-
-**Why this is important?**
-
-AI products are becoming more capable by the day. But unless we think carefully about how we build AI systems, we risk amplifying harm as fast as we’re scaling performance. Even AI products that seem successful in narrow metrics like `number of users` and `engagement` can lead to a degradation of user trust in your company, reputational risk, and drive negative societal outcomes. A more systematic product development approach is necessary for this next generation of tech to ensure we get the benefits of AI without the downsides.
-
-**Project summary**
-
-This project introduces "Yellow Teaming", a structured methodology for stress-testing AI products by exploring the full spectrum of consequences when products succeed, not just fail. Students will create a YellowTeamGPT to analyze their Arm-based product concept and apply the learnings to make their product better. This exercise is an excellent way for software developers, product managers, and designers to elevate their products through thoughtful design choices above a crowded competitive landscape.
-
-The assistant will be integrated into your product development workflow (e.g. product brainstorming, feature planning reviews, coding sessions) to aid software teams in surfacing unintended effects of new product features on your company, your users, and society. Participants can implement their YellowTeamGPT using any LLM, from a private Llama3.1-8B model on an AWS instance (tutorial linked below) to a public ChatGPT/Claude/other chatbot. Participants can also Yellow Team without an LLM by applying the methodology themselves and documenting their analysis. Analysis can be documented as product design documents, sprint retrospectives, Git-based code reviews...anything that shows the results of their thoughtful design practices.
-
-Key Objectives of Your Project
-- Collect Real-World Applications: Gather detailed accounts of AI projects developed using Yellow Teaming principles on Arm-based systems.
-- Showcase Responsible AI Practices: Highlight how developers anticipate and address potential societal and ethical impacts of their AI solutions.
-- Promote Arm-Based AI Development: Demonstrate the capabilities and advantages of deploying AI applications on Arm architectures, such as AWS Graviton processors or smartphones.
-- Yellow Teaming Implementation: A detailed account of how Yellow Teaming was applied, including the tools/prompts used to facilitate analysis, identification of unintended consequences, strategies to mitigate negative product impacts, and/or new net-positive features ideated.
-
-
-## Prequisites
-
-If deploying a private Llama model ->
-- **Hardware**:
- - Access to an Arm-based cloud instance, for example Arm-based Graviton4 processors.
-- **Software**:
- - PyTorch and Hugging Face account
- - `torchchat` repo and dependencies
- - Hugging Face CLI for LLM download
- - Git, Python 3.10+, and various common build essentials (e.g., `make`, `g++`)
-- **Skills**:
- - Proficiency in Python and PyTorch
- - [Hugging Face account](https://huggingface.co/)
- - Understanding of LLMs and prompting techniques
-
-If using a public LLM ->
-- **Hardware**:
- - None needed
-- **Software**:
- - Access to a public LLM
-- **Skills**:
- - Understanding of LLMs and prompting techniques
-
-## Resources from Arm and our partners
-
-- External Course: [Mitigating Harmful Consequences course module by the Center for Humane Technology](https://www.humanetech.com/course)
-- Blog: [Build Responsible AI products with your own Yellow Teaming LLM](https://pytorch.org/blog/build-responsible-ai-products-with-your-own-yellow-teaming-llm/)
-- Learning Paths: [AI Learning Paths](https://learn.arm.com/tag/ml)
-
-## Support Level
-
-This project is designed to be self-serve but comes with opportunity of some community support from Arm Ambassadors, who are part of the Arm Developer program. If you are not already part of our program, [click here to join](https://www.arm.com/resources/developer-program?#register).
-
-
-## Benefits
-
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
-
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+---
+title: "Responsible AI and Yellow Teaming"
+description: "This self-service project equips teams with a YellowTeamGPT workflow that probes Arm-based AI products for unintended impacts—turning responsible-AI stress-testing into a core step of the development cycle."
+subjects:
+ - "ML"
+requires-team:
+ - "No"
+platform:
+ - "Servers and Cloud Computing"
+ - "Laptops and Desktops"
+ - "AI"
+sw-hw:
+ - "Software"
+support-level:
+ - "Self-Service"
+ - "Arm Ambassador Support"
+publication-date: 2025-05-30
+license:
+status:
+ - "Published"
+donation:
+---
+
+## Description
+
+
+**Why this is important?**
+
+AI products are becoming more capable by the day. But unless we think carefully about how we build AI systems, we risk amplifying harm as fast as we’re scaling performance. Even AI products that seem successful in narrow metrics like `number of users` and `engagement` can lead to a degradation of user trust in your company, reputational risk, and drive negative societal outcomes. A more systematic product development approach is necessary for this next generation of tech to ensure we get the benefits of AI without the downsides.
+
+**Project summary**
+
+This project introduces "Yellow Teaming", a structured methodology for stress-testing AI products by exploring the full spectrum of consequences when products succeed, not just fail. Students will create a YellowTeamGPT to analyze their Arm-based product concept and apply the learnings to make their product better. This exercise is an excellent way for software developers, product managers, and designers to elevate their products through thoughtful design choices above a crowded competitive landscape.
+
+The assistant will be integrated into your product development workflow (e.g. product brainstorming, feature planning reviews, coding sessions) to aid software teams in surfacing unintended effects of new product features on your company, your users, and society. Participants can implement their YellowTeamGPT using any LLM, from a private Llama3.1-8B model on an AWS instance (tutorial linked below) to a public ChatGPT/Claude/other chatbot. Participants can also Yellow Team without an LLM by applying the methodology themselves and documenting their analysis. Analysis can be documented as product design documents, sprint retrospectives, Git-based code reviews...anything that shows the results of their thoughtful design practices.
+
+Key Objectives of Your Project
+- Collect Real-World Applications: Gather detailed accounts of AI projects developed using Yellow Teaming principles on Arm-based systems.
+- Showcase Responsible AI Practices: Highlight how developers anticipate and address potential societal and ethical impacts of their AI solutions.
+- Promote Arm-Based AI Development: Demonstrate the capabilities and advantages of deploying AI applications on Arm architectures, such as AWS Graviton processors or smartphones.
+- Yellow Teaming Implementation: A detailed account of how Yellow Teaming was applied, including the tools/prompts used to facilitate analysis, identification of unintended consequences, strategies to mitigate negative product impacts, and/or new net-positive features ideated.
+
+
+## Prequisites
+
+If deploying a private Llama model ->
+- **Hardware**:
+ - Access to an Arm-based cloud instance, for example Arm-based Graviton4 processors.
+- **Software**:
+ - PyTorch and Hugging Face account
+ - `torchchat` repo and dependencies
+ - Hugging Face CLI for LLM download
+ - Git, Python 3.10+, and various common build essentials (e.g., `make`, `g++`)
+- **Skills**:
+ - Proficiency in Python and PyTorch
+ - [Hugging Face account](https://huggingface.co/)
+ - Understanding of LLMs and prompting techniques
+
+If using a public LLM ->
+- **Hardware**:
+ - None needed
+- **Software**:
+ - Access to a public LLM
+- **Skills**:
+ - Understanding of LLMs and prompting techniques
+
+## Resources from Arm and our partners
+
+- External Course: [Mitigating Harmful Consequences course module by the Center for Humane Technology](https://www.humanetech.com/course)
+- Blog: [Build Responsible AI products with your own Yellow Teaming LLM](https://pytorch.org/blog/build-responsible-ai-products-with-your-own-yellow-teaming-llm/)
+- Learning Paths: [AI Learning Paths](https://learn.arm.com/tag/ml)
+
+## Support Level
+
+This project is designed to be self-serve but comes with opportunity of some community support from Arm Ambassadors, who are part of the Arm Developer program. If you are not already part of our program, [click here to join](https://www.arm.com/resources/developer-program?#register).
+
+
+## Benefits
+
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/Sentiment-Analysis-Dashboard.md b/Projects/Projects/Sentiment-Analysis-Dashboard.md
index 00a10050..4892f99e 100644
--- a/Projects/Projects/Sentiment-Analysis-Dashboard.md
+++ b/Projects/Projects/Sentiment-Analysis-Dashboard.md
@@ -51,6 +51,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/Smart-Voice-Assistant.md b/Projects/Projects/Smart-Voice-Assistant.md
index d2ca6e57..b2bb3fc9 100644
--- a/Projects/Projects/Smart-Voice-Assistant.md
+++ b/Projects/Projects/Smart-Voice-Assistant.md
@@ -51,6 +51,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/SpecINT2017-benchmarking-on-Arm64.md b/Projects/Projects/SpecINT2017-benchmarking-on-Arm64.md
index 64f88267..ed9d9d70 100644
--- a/Projects/Projects/SpecINT2017-benchmarking-on-Arm64.md
+++ b/Projects/Projects/SpecINT2017-benchmarking-on-Arm64.md
@@ -70,6 +70,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/Projects/Projects/Write-A-Learning-Path.md b/Projects/Projects/Write-A-Learning-Path.md
index b531d347..44e11ae6 100644
--- a/Projects/Projects/Write-A-Learning-Path.md
+++ b/Projects/Projects/Write-A-Learning-Path.md
@@ -48,6 +48,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
+To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/docs/_config.yml b/docs/_config.yml
index a050587f..b75ca3c4 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -19,7 +19,7 @@
text_skin: default # "default" (default), "dark", "forest", "ocean", "chocolate", "orange"
highlight_theme: default # "default" (default), "tomorrow", "tomorrow-night", "tomorrow-night-eighties", "tomorrow-night-blue", "tomorrow-night-bright"
url : # the base hostname & protocol for your site e.g. https://www.someone.com
-baseurl : # does not include hostname
+baseurl : /Arm-Developer-labs-Staging
title :
description: > # this means to ignore newlines until "Language & timezone"
Developer Labs
@@ -223,3 +223,4 @@ plugins:
- jekyll-paginate
- jekyll-sitemap
- jemoji
+
diff --git a/docs/_data/badges.yml b/docs/_data/badges.yml
new file mode 100644
index 00000000..d8798ef7
--- /dev/null
+++ b/docs/_data/badges.yml
@@ -0,0 +1,13 @@
+new:
+ file: new.svg
+ alt: "New"
+trending:
+ file: Trending.svg
+ alt: "Trending"
+updated:
+ file: updated.svg
+ alt: "Recently updated"
+recently_added:
+ file: RA.svg
+ alt: "Recently Added"
+
diff --git a/docs/_includes/badges.html b/docs/_includes/badges.html
new file mode 100644
index 00000000..c07f276d
--- /dev/null
+++ b/docs/_includes/badges.html
@@ -0,0 +1,17 @@
+{%- assign _items = include.items -%}
+{%- if _items and _items != empty -%}
+
+ {%- for key in _items -%}
+ {%- assign b = site.data.badges[key] -%}
+ {%- if b and b.file -%}
+
+ {%- else -%}
+ {#- Unknown badge key, ignore -#}
+ {%- endif -%}
+ {%- endfor -%}
+
+{%- endif -%}
diff --git a/docs/_layouts/article.html b/docs/_layouts/article.html
index 1ec44104..e61bf609 100644
--- a/docs/_layouts/article.html
+++ b/docs/_layouts/article.html
@@ -15,9 +15,10 @@
{{ content }}
{%- if page.filter == "project" -%}
-
+
- {{ _child.description }} -
+ data-support-level='{{ _child["support-level"] | jsonify }}' + {%- if _badges -%} data-badges='{{ _badges | jsonify }}'{%- endif -%} + data-url-rel='{{ _nav_url_rel }}'> + ++ {{ _child.description }} +
+
## Audience
Electronic Engineering
@@ -55,11 +55,13 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
## Audience
Electronic Engineering
@@ -92,6 +94,7 @@ Similar projects:
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Academic-Trends-Dashboard.md b/docs/_posts/2025-05-30-Academic-Trends-Dashboard.md
index 220c18f8..0c831ba0 100644
--- a/docs/_posts/2025-05-30-Academic-Trends-Dashboard.md
+++ b/docs/_posts/2025-05-30-Academic-Trends-Dashboard.md
@@ -25,7 +25,7 @@ layout: article
sidebar:
nav: projects
full_description: |-
-
+
## Description
@@ -57,11 +57,12 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
## Description
@@ -93,6 +94,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Architecture-Insight-Dashboard.md b/docs/_posts/2025-05-30-Architecture-Insight-Dashboard.md
index 048d8d8c..202274ba 100644
--- a/docs/_posts/2025-05-30-Architecture-Insight-Dashboard.md
+++ b/docs/_posts/2025-05-30-Architecture-Insight-Dashboard.md
@@ -25,7 +25,7 @@ layout: article
sidebar:
nav: projects
full_description: |-
-
+
### Description
@@ -65,11 +65,13 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
### Description
@@ -109,6 +111,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Arduino-IDE-Windows-on-Arm.md b/docs/_posts/2025-05-30-Arduino-IDE-Windows-on-Arm.md
index 335d5770..053033b0 100644
--- a/docs/_posts/2025-05-30-Arduino-IDE-Windows-on-Arm.md
+++ b/docs/_posts/2025-05-30-Arduino-IDE-Windows-on-Arm.md
@@ -24,7 +24,7 @@ layout: article
sidebar:
nav: projects
full_description: |-
-
+
## Description
@@ -69,11 +69,12 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
## Description
@@ -118,6 +119,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Bioinformatic-Pipeline-Analysis.md b/docs/_posts/2025-05-30-Bioinformatic-Pipeline-Analysis.md
index 07a62bfa..cf3c913d 100644
--- a/docs/_posts/2025-05-30-Bioinformatic-Pipeline-Analysis.md
+++ b/docs/_posts/2025-05-30-Bioinformatic-Pipeline-Analysis.md
@@ -69,10 +69,12 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
+
### Description
**Why this is important?**
@@ -119,6 +121,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Compliance-Ready-Smart-Camera-System.md b/docs/_posts/2025-05-30-Compliance-Ready-Smart-Camera-System.md
index e2efdae0..85c09d8a 100644
--- a/docs/_posts/2025-05-30-Compliance-Ready-Smart-Camera-System.md
+++ b/docs/_posts/2025-05-30-Compliance-Ready-Smart-Camera-System.md
@@ -59,10 +59,11 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
+
Reach out to Arm at [education@arm.com](mailto:education@arm.com) if you'd like to participate in this challenge.
@@ -92,6 +93,6 @@ Deliverables include:
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-FPGA-Accellerator-with-DDR.md b/docs/_posts/2025-05-30-FPGA-Accellerator-with-DDR.md
index d1d3c355..20d24530 100644
--- a/docs/_posts/2025-05-30-FPGA-Accellerator-with-DDR.md
+++ b/docs/_posts/2025-05-30-FPGA-Accellerator-with-DDR.md
@@ -44,10 +44,12 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
+
## Description
This project aims to leverage the Corstone-1000 platform to host and support a custom research accelerator. The main deliverables include prototyping the accelerator in FPGA and then creating a physical silicon implementation using a pre-verified programmable control system. The project will provide practical experience in SoC design, FPGA prototyping, and hardware acceleration. The final output will be a functional SoC FPGA prototyping platform with DDR memory, capable of running Linux and demonstrating the feasibility and performance of the design. **To undertake this project, please reach out to SoC Labs** in [this link](https://soclabs.org/).
@@ -69,6 +71,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-HPC-Algorithm.md b/docs/_posts/2025-05-30-HPC-Algorithm.md
index 2bb1f390..cf7cae04 100644
--- a/docs/_posts/2025-05-30-HPC-Algorithm.md
+++ b/docs/_posts/2025-05-30-HPC-Algorithm.md
@@ -19,6 +19,7 @@ license:
status:
- Published
donation:
+badges: trending
layout: article
sidebar:
nav: projects
@@ -53,10 +54,12 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
+
## Description
**Why this is important?**
@@ -87,6 +90,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Haskell-Compiler-Windows-on-Arm.md b/docs/_posts/2025-05-30-Haskell-Compiler-Windows-on-Arm.md
index 40087d63..00e4faf5 100644
--- a/docs/_posts/2025-05-30-Haskell-Compiler-Windows-on-Arm.md
+++ b/docs/_posts/2025-05-30-Haskell-Compiler-Windows-on-Arm.md
@@ -24,7 +24,7 @@ layout: article
sidebar:
nav: projects
full_description: |-
-
+
## Description
@@ -70,11 +70,12 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
## Description
@@ -120,6 +121,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Human-Centric-Robotics.md b/docs/_posts/2025-05-30-Human-Centric-Robotics.md
index 9474b068..859bf563 100644
--- a/docs/_posts/2025-05-30-Human-Centric-Robotics.md
+++ b/docs/_posts/2025-05-30-Human-Centric-Robotics.md
@@ -66,10 +66,11 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
+
Reach out to Arm at [education@arm.com](mailto:education@arm.com) if you'd like to participate in this challenge.
## Description
@@ -108,6 +109,6 @@ Team size: 2+ participants
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-LLM-Benchmark-on-Arm-Server.md b/docs/_posts/2025-05-30-LLM-Benchmark-on-Arm-Server.md
index 56322c58..0a8ce24f 100644
--- a/docs/_posts/2025-05-30-LLM-Benchmark-on-Arm-Server.md
+++ b/docs/_posts/2025-05-30-LLM-Benchmark-on-Arm-Server.md
@@ -46,10 +46,12 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
+
## Description
This project aims to benchmark inference on Arm-based servers using the MLPerf Inference benchmark suite. The project spans performance analysis across different configurations of Arm-based servers. The main deliverable is a comprehensive benchmarking setup that can evaluate the performance of large language models (LLMs) on various Arm server configurations in addition to a report highlighting the performance difference and how to recreate the results. This project will provide practical experience in benchmarking, performance analysis, and working with Arm-based server architectures. The final output will be a detailed report and a functional benchmarking infrastructure that can be used for further research and development.
@@ -72,6 +74,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Machine-Learning-on-AWS-Graviton.md b/docs/_posts/2025-05-30-Machine-Learning-on-AWS-Graviton.md
index c1ce0828..a194653f 100644
--- a/docs/_posts/2025-05-30-Machine-Learning-on-AWS-Graviton.md
+++ b/docs/_posts/2025-05-30-Machine-Learning-on-AWS-Graviton.md
@@ -24,7 +24,7 @@ layout: article
sidebar:
nav: projects
full_description: |-
-
+
## Description
@@ -62,12 +62,13 @@ full_description: |-
This project is designed to be self-serve but comes with opportunity of some community support from Arm Ambassadors, who are part of the Arm Developer program. If you are not already part of our program, [click here to join](https://www.arm.com/resources/developer-program?#register).
## Benefits
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
## Description
@@ -105,7 +106,7 @@ The aim of this project is to port, benchmark, and optimize a pre-trained ViT mo
This project is designed to be self-serve but comes with opportunity of some community support from Arm Ambassadors, who are part of the Arm Developer program. If you are not already part of our program, [click here to join](https://www.arm.com/resources/developer-program?#register).
## Benefits
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Processor-in-the-Loop-Automotive.md b/docs/_posts/2025-05-30-Processor-in-the-Loop-Automotive.md
index fc7734d1..f2425994 100644
--- a/docs/_posts/2025-05-30-Processor-in-the-Loop-Automotive.md
+++ b/docs/_posts/2025-05-30-Processor-in-the-Loop-Automotive.md
@@ -26,7 +26,7 @@ layout: article
sidebar:
nav: projects
full_description: |-
-
+
## Description
@@ -69,11 +69,12 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
## Description
@@ -116,6 +117,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Quantisation-Aware-Training.md b/docs/_posts/2025-05-30-Quantisation-Aware-Training.md
index dc797025..63c2165d 100644
--- a/docs/_posts/2025-05-30-Quantisation-Aware-Training.md
+++ b/docs/_posts/2025-05-30-Quantisation-Aware-Training.md
@@ -61,10 +61,11 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
+
## Description
This open-ended project invites students to explore **Quantization-Aware Training (QAT)** with PyTorch to optimize computer vision models for **Arm-based mobile devices** (e.g., Android smartphones).
@@ -101,6 +102,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-R-Arm-Community-Support.md b/docs/_posts/2025-05-30-R-Arm-Community-Support.md
index 6b092ae6..052ad39e 100644
--- a/docs/_posts/2025-05-30-R-Arm-Community-Support.md
+++ b/docs/_posts/2025-05-30-R-Arm-Community-Support.md
@@ -23,7 +23,7 @@ layout: article
sidebar:
nav: projects
full_description: |-
-
+
## Description
@@ -76,11 +76,13 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
## Description
@@ -133,6 +135,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Real-Time-Image-Classification.md b/docs/_posts/2025-05-30-Real-Time-Image-Classification.md
index 5e81dc6b..33da4c15 100644
--- a/docs/_posts/2025-05-30-Real-Time-Image-Classification.md
+++ b/docs/_posts/2025-05-30-Real-Time-Image-Classification.md
@@ -25,7 +25,7 @@ layout: article
sidebar:
nav: projects
full_description: |-
-
+
## Description
@@ -57,11 +57,12 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
## Description
@@ -93,6 +94,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Responsible-AI-and-Yellow-Teaming.md b/docs/_posts/2025-05-30-Responsible-AI-and-Yellow-Teaming.md
index 78d93c44..8054b134 100644
--- a/docs/_posts/2025-05-30-Responsible-AI-and-Yellow-Teaming.md
+++ b/docs/_posts/2025-05-30-Responsible-AI-and-Yellow-Teaming.md
@@ -79,10 +79,11 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
+
## Description
@@ -139,6 +140,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Sentiment-Analysis-Dashboard.md b/docs/_posts/2025-05-30-Sentiment-Analysis-Dashboard.md
index de5fcfe1..3708b48f 100644
--- a/docs/_posts/2025-05-30-Sentiment-Analysis-Dashboard.md
+++ b/docs/_posts/2025-05-30-Sentiment-Analysis-Dashboard.md
@@ -51,10 +51,11 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
+
## Description
This project aims to develop a sentiment analysis dashboard for keywords related to the semiconductor industry. The main deliverable is a web scraping script that gathers text data from various semiconductor news sites. Example sites are [SemiconductorEngineering.com](https://semiengineering.com/), [IEEE Spectrum](https://spectrum.ieee.org/), [EETimes](https://www.eetimes.com/tag/semiconductors/), [SemiconductorDigest](https://www.semiconductor-digest.com/), [SemiconductorToday](https://semiconductor-today.com/), [Financial Times - Semiconductors](https://www.ft.com/semiconductors), [Bezinga Semiconductors](https://www.benzinga.com/topic/semiconductors).
@@ -80,6 +81,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Smart-Voice-Assistant.md b/docs/_posts/2025-05-30-Smart-Voice-Assistant.md
index ee40068c..18deb9ce 100644
--- a/docs/_posts/2025-05-30-Smart-Voice-Assistant.md
+++ b/docs/_posts/2025-05-30-Smart-Voice-Assistant.md
@@ -24,7 +24,7 @@ layout: article
sidebar:
nav: projects
full_description: |-
-
+
## Description
@@ -53,11 +53,13 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
## Description
@@ -86,6 +88,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-SpecINT2017-benchmarking-on-Arm64.md b/docs/_posts/2025-05-30-SpecINT2017-benchmarking-on-Arm64.md
index 09d7f974..062e3e41 100644
--- a/docs/_posts/2025-05-30-SpecINT2017-benchmarking-on-Arm64.md
+++ b/docs/_posts/2025-05-30-SpecINT2017-benchmarking-on-Arm64.md
@@ -70,10 +70,12 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
+
### Description
**Why this is important?**
@@ -119,6 +121,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-Write-A-Learning-Path.md b/docs/_posts/2025-05-30-Write-A-Learning-Path.md
index 27bf0785..6824f27e 100644
--- a/docs/_posts/2025-05-30-Write-A-Learning-Path.md
+++ b/docs/_posts/2025-05-30-Write-A-Learning-Path.md
@@ -29,7 +29,7 @@ layout: article
sidebar:
nav: projects
full_description: |-
-
+
## Description
@@ -50,11 +50,12 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
## Description
@@ -75,6 +76,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-05-30-projects.md b/docs/_posts/2025-05-30-projects.md
index f2bb51f4..5442fa5f 100644
--- a/docs/_posts/2025-05-30-projects.md
+++ b/docs/_posts/2025-05-30-projects.md
@@ -8,6 +8,7 @@ full_description: |-
Filter or keyword search below. You can take a project as is, adapt it to your circumstances or simply take inspiration from it. Each project link shows what contextual collateral and resources are available. To get benefits from Arm, you need to tell us about your work. Read more on the [homepage](https://arm-university.github.io/Arm-Developer-Labs/).
---
+
**Arm Developer Labs** is a repository of software and hardware project suggestions sourced from internal Arm teams and our network of eco-system partners but framed in way to be immediately accessible and useful to both academics and professional software developers alike.
Filter or keyword search below. You can take a project as is, adapt it to your circumstances or simply take inspiration from it. Each project link shows what contextual collateral and resources are available. To get benefits from Arm, you need to tell us about your work. Read more on the [homepage](https://arm-university.github.io/Arm-Developer-Labs/).
\ No newline at end of file
diff --git a/docs/_posts/2025-07-11-C-Based-Application-from-Scratch.md b/docs/_posts/2025-07-11-C-Based-Application-from-Scratch.md
index 6b762fee..9f736e85 100644
--- a/docs/_posts/2025-07-11-C-Based-Application-from-Scratch.md
+++ b/docs/_posts/2025-07-11-C-Based-Application-from-Scratch.md
@@ -54,7 +54,7 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
@@ -62,6 +62,7 @@ full_description: |-
1. [Plant Health Analysis System, Arnav Gupta et al. Imperial College London](https://github.com/Arg2006/ARM_Presentation.git).
2. [VR Voxel Game. Imperial College London](https://github.com/lxkast/vr-voxel-game).
---
+
## Description
**Why this is important?**
@@ -94,7 +95,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/docs/_posts/2025-08-28-NPC-LLM-Runtime.md b/docs/_posts/2025-08-28-NPC-LLM-Runtime.md
index 73f72440..f4474306 100644
--- a/docs/_posts/2025-08-28-NPC-LLM-Runtime.md
+++ b/docs/_posts/2025-08-28-NPC-LLM-Runtime.md
@@ -19,6 +19,7 @@ publication-date: 2025-08-28
license:
status:
- Published
+badges: trending
donation:
layout: article
sidebar:
@@ -67,10 +68,12 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
+
## Description
**Why is this important?**
@@ -114,6 +117,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
+
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-11-03-Python-Porting-Challenge.md b/docs/_posts/2025-11-03-Python-Porting-Challenge.md
index 0e922cf0..137ff3d6 100644
--- a/docs/_posts/2025-11-03-Python-Porting-Challenge.md
+++ b/docs/_posts/2025-11-03-Python-Porting-Challenge.md
@@ -21,7 +21,7 @@ layout: article
sidebar:
nav: projects
full_description: |-
-
+
### *We are open to supporting participants through hardware donations, such as gift cards to help procure Windows on Arm laptops for development and research purposes. Please reach out to us at Arm-Developer-Labs@arm.com for more details on eligibility*
@@ -65,11 +65,12 @@ full_description: |-
## Benefits
- Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must share your contribution through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
### *We are open to supporting participants through hardware donations, such as gift cards to help procure Windows on Arm laptops for development and research purposes. Please reach out to us at Arm-Developer-Labs@arm.com for more details on eligibility*
@@ -113,6 +114,6 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in preferential internal referrals to Arm Talent Acquisition (with digital badges for CV building). And we are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must share your contribution through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-11-27-Always-On-AI-with-Ethos-U85-NPU.md b/docs/_posts/2025-11-27-Always-On-AI-with-Ethos-U85-NPU.md
index f236fec1..f497a527 100644
--- a/docs/_posts/2025-11-27-Always-On-AI-with-Ethos-U85-NPU.md
+++ b/docs/_posts/2025-11-27-Always-On-AI-with-Ethos-U85-NPU.md
@@ -27,7 +27,7 @@ layout: article
sidebar:
nav: projects
full_description: |-
-
+
## Description
@@ -76,12 +76,13 @@ full_description: |-
## Benefits
- Standout project contributions will result in digital badges for CV building, recognised by Arm Talent Acquisition. We are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
## Description
@@ -130,7 +131,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in digital badges for CV building, recognised by Arm Talent Acquisition. We are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-11-27-Edge-AI-On-Mobile.md b/docs/_posts/2025-11-27-Edge-AI-On-Mobile.md
index 86e72c22..a57df8fd 100644
--- a/docs/_posts/2025-11-27-Edge-AI-On-Mobile.md
+++ b/docs/_posts/2025-11-27-Edge-AI-On-Mobile.md
@@ -20,6 +20,7 @@ publication-date: 2025-11-27
license:
status:
- Published
+badges: trending
layout: article
sidebar:
nav: projects
@@ -70,13 +71,13 @@ full_description: |-
## Benefits
- Standout project contributions will result in digital badges for CV building, recognised by Arm Talent Acquisition. We are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
-
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
---
+
## Description
### Why is this important?
@@ -123,8 +124,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in digital badges for CV building, recognised by Arm Talent Acquisition. We are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
-
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
diff --git a/docs/_posts/2025-11-27-Ethos-U85-NPU-Applications.md b/docs/_posts/2025-11-27-Ethos-U85-NPU-Applications.md
index 08fc13d1..9f3c2f91 100644
--- a/docs/_posts/2025-11-27-Ethos-U85-NPU-Applications.md
+++ b/docs/_posts/2025-11-27-Ethos-U85-NPU-Applications.md
@@ -20,12 +20,13 @@ publication-date: 2025-11-27
license:
status:
- Published
+badges: trending
donation:
layout: article
sidebar:
nav: projects
full_description: |-
-
+
## Description
@@ -113,12 +114,13 @@ full_description: |-
## Benefits
- Standout project contributions will result in digital badges for CV building, recognised by Arm Talent Acquisition. We are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
## Description
@@ -206,7 +208,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in digital badges for CV building, recognised by Arm Talent Acquisition. We are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/_posts/2025-11-27-Game-Dev-Using-Neural-Graphics-&-Unreal-Engine.md b/docs/_posts/2025-11-27-Game-Dev-Using-Neural-Graphics-&-Unreal-Engine.md
index 99c8e712..76b636f3 100644
--- a/docs/_posts/2025-11-27-Game-Dev-Using-Neural-Graphics-&-Unreal-Engine.md
+++ b/docs/_posts/2025-11-27-Game-Dev-Using-Neural-Graphics-&-Unreal-Engine.md
@@ -21,12 +21,13 @@ publication-date: 2025-11-27
license:
status:
- Published
+badges: trending
donation:
layout: article
sidebar:
nav: projects
full_description: |-
-
+
## Description
@@ -86,12 +87,13 @@ full_description: |-
## Benefits
- Standout project contributions will result in digital badges for CV building, recognised by Arm Talent Acquisition. We are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+ Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
---
-
+
+
## Description
@@ -151,7 +153,7 @@ This project is designed to be self-serve but comes with opportunity of some com
## Benefits
-Standout project contributions will result in digital badges for CV building, recognised by Arm Talent Acquisition. We are currently discussing with national agencies the potential for funding streams for Arm Developer Labs projects, which would flow to you, not us.
+Standout project contributions to the community will earn digital badges. These badges can support CV or resumé building and demonstrate earned recognition.
To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
\ No newline at end of file
diff --git a/docs/assets/DevLabs_Logo.png b/docs/assets/DevLabs_Logo.png
new file mode 100644
index 00000000..2261533d
Binary files /dev/null and b/docs/assets/DevLabs_Logo.png differ
diff --git a/docs/assets/badges/RA.svg b/docs/assets/badges/RA.svg
new file mode 100644
index 00000000..327ecf9d
--- /dev/null
+++ b/docs/assets/badges/RA.svg
@@ -0,0 +1,4 @@
+
\ No newline at end of file
diff --git a/docs/assets/badges/Trending.svg b/docs/assets/badges/Trending.svg
new file mode 100644
index 00000000..0b45f07d
--- /dev/null
+++ b/docs/assets/badges/Trending.svg
@@ -0,0 +1 @@
+
\ No newline at end of file
diff --git a/docs/assets/badges/new.svg b/docs/assets/badges/new.svg
new file mode 100644
index 00000000..b7cc5e54
--- /dev/null
+++ b/docs/assets/badges/new.svg
@@ -0,0 +1 @@
+
\ No newline at end of file
diff --git a/scripts/update_docs.py b/scripts/update_docs.py
index 5ac4822b..0d3c500e 100644
--- a/scripts/update_docs.py
+++ b/scripts/update_docs.py
@@ -1,23 +1,36 @@
-import os
-import sys
import re
import shutil
+from datetime import datetime
+from io import StringIO
from pathlib import Path
+
import frontmatter
-from datetime import datetime
import ruamel.yaml
+from ruamel.yaml.scalarstring import LiteralScalarString
+
+# ----------------------------
+# Paths (relative to this script)
+# ----------------------------
+SCRIPT_DIR = Path(__file__).resolve().parent
+REPO_ROOT = SCRIPT_DIR.parent # adjust if your script is deeper nested
+
+DOCS_DIR = REPO_ROOT / "docs"
+DOCS_POSTS_DIR = DOCS_DIR / "_posts"
+DOCS_IMAGES_DIR = DOCS_DIR / "images"
+DOCS_CONFIG = DOCS_DIR / "_config.yml"
-projects_dir = "../Projects/Projects"
-extended_projects_dir = "../Projects/Extended-Team-Projects"
+PROJECTS_DIR = REPO_ROOT / "Projects" / "Projects"
+EXT_PROJECTS_DIR = REPO_ROOT / "Projects" / "Extended-Team-Projects"
-projects_pathlist = [Path("../Projects/projects.md")]
-projects_projects_pathlist = Path(projects_dir).rglob("*.md")
-projects_extended_project_pathlist = Path(extended_projects_dir).rglob("*.md")
-research_pathlist = [Path("../Research/research.md")]
+PROJECTS_PATHLIST = [REPO_ROOT / "Projects" / "projects.md"]
+PROJECTS_PROJECTS_PATHLIST = PROJECTS_DIR.rglob("*.md")
+PROJECTS_EXTENDED_PATHLIST = EXT_PROJECTS_DIR.rglob("*.md")
+RESEARCH_PATHLIST = [REPO_ROOT / "Research" / "research.md"] # unused for now, kept for future
-docs_posts_dir = "../docs/_posts"
+README_PATH = REPO_ROOT / "README.md"
+README_BANNER = "./images/DeveloperLabs_Header.png"
-index_frontmatter = """---
+INDEX_FRONTMATTER = """---
title: Academic Projects Repository
tags: TeXt
article_header:
@@ -27,46 +40,172 @@
---
"""
-def clean():
- clean_lst = [docs_posts_dir]
- for dirpath in clean_lst:
- if os.path.exists(dirpath) and os.path.isdir(dirpath):
- shutil.rmtree(dirpath)
- os.makedirs(dirpath)
- else:
- os.makedirs(dirpath)
+# ----------------------------
+# Config helpers
+# ----------------------------
+def _normalize_baseurl(baseurl: str) -> str:
+ baseurl = (baseurl or "/").strip()
+ if not baseurl.startswith("/"):
+ baseurl = "/" + baseurl
+ baseurl = baseurl.rstrip("/") or "/"
+ return baseurl
+
+
+def load_baseurl(default: str = "/Arm-Developer-Labs") -> str:
+ """
+ Reads baseurl from docs/_config.yml.
+ Falls back to default if file/key missing.
+ Returns a Jekyll-style baseurl: starts with '/', no trailing '/' (unless '/').
+ """
+ if not DOCS_CONFIG.exists():
+ return _normalize_baseurl(default)
+
+ yaml = ruamel.yaml.YAML()
+ try:
+ cfg = yaml.load(DOCS_CONFIG.read_text(encoding="utf-8")) or {}
+ except Exception:
+ return _normalize_baseurl(default)
+
+ baseurl = cfg.get("baseurl", "") or default
+ return _normalize_baseurl(str(baseurl))
+
+
+BASEURL = load_baseurl()
+
+# ----------------------------
+# Utilities
+# ----------------------------
+def clean_posts_dir() -> None:
+ """Clears and recreates the docs/_posts directory."""
+ if DOCS_POSTS_DIR.exists():
+ shutil.rmtree(DOCS_POSTS_DIR)
+ DOCS_POSTS_DIR.mkdir(parents=True, exist_ok=True)
+
+
+def normalize_date(meta_value, fallback_timestamp: float) -> str:
+ """Return 'YYYY-MM-DD' from datetime/ISO string, else fallback to file mtime."""
+ if meta_value is None:
+ return datetime.fromtimestamp(fallback_timestamp).strftime("%Y-%m-%d")
+ if isinstance(meta_value, datetime):
+ return meta_value.strftime("%Y-%m-%d")
+ s = str(meta_value)
+ try:
+ return datetime.fromisoformat(s).strftime("%Y-%m-%d")
+ except ValueError:
+ return s[:10]
+
+
+def filenameify_preserve_punct(stem: str) -> str:
+ """
+ Preserve case + punctuation from the source filename stem as much as possible.
+
+ Minimal safety:
+ - Replace path separators (/ and \\) so we don't create subpaths
+ - Replace ':' (Windows-hostile)
+ """
+ s = str(stem).strip()
+ s = s.replace("/", "-").replace("\\", "-").replace(":", "-")
+ return s or "post"
+
+
+def strip_legacy_metadata_block(md: str) -> str:
+ """
+ Removes legacy CMS-style metadata blocks like:
+ Subjects:...
+ Platform:...
+ SW / HW:...
+ Support level:...
+ Status:...
+
+ Triggers near the top only and stops when real content begins.
+ """
+ lines = md.splitlines()
+ cleaned: list[str] = []
+
+ key_re = re.compile(
+ r"^(Subjects|Platform|SW\s*/\s*HW|Support level|Status):\s*",
+ re.IGNORECASE,
+ )
+
+ skipping = False
+ triggered = False
+
+ for i, line in enumerate(lines):
+ # Only trigger near the top
+ if not skipping and i < 80 and key_re.match(line):
+ skipping = True
+ triggered = True
+ continue
+
+ if skipping:
+ # Skip legacy keys + blank lines until we hit real content
+ if key_re.match(line) or line.strip() == "":
+ continue
+ skipping = False
+ cleaned.append(line)
+ continue
+
+ cleaned.append(line)
+
+ return "\n".join(cleaned).lstrip() if triggered else md
+
+
+# ----------------------------
+# Content transforms
+# ----------------------------
+_MD_IMAGE_RE = re.compile(r"!\[[^\]]*\]\(([^)]+)\)")
+
def convert_md_images_to_html(md_text: str, doc_path: Path) -> str:
- pattern = r'!\[[^\]]*\]\(([^)]+)\)'
- docs_dir_path = Path("../docs")
+ """
+ - Finds Markdown images 
+ - Only rewrites *relative* image paths (no http(s)://, no leading /)
+ - Copies each such image into docs/images/
+ - Rewrites to