navigation.yml

header:
- titles:
    en: Projects
  url: /2025/05/30/projects.html
projects:
- title: Projects
  children:
  - title: Machine-Learning-on-AWS-Graviton
    description: "This self-service project ports and tunes OpenSora text-to-video\
      \ transformers on AWS Graviton CPUs\u2014showcasing cost-efficient, quantized,\
      \ CPU-only inference pipelines and guiding best-practice optimization for Arm-based\
      \ cloud AI workloads."
    url: /2025/05/30/Machine-Learning-on-AWS-Graviton.html
    subjects:
    - ML
    - Migration to Arm
    - Performance and Architecture
    - Cloud AI
    platform:
    - Servers and Cloud Computing
    - AI
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: R-Arm-Community-Support
    description: "This self-service project boosts the R ecosystem on Windows on Arm\
      \ by identifying unsupported packages, upstreaming fixes, and automating builds\u2014\
      so data scientists can run their workflows natively on fast, efficient Arm64\
      \ laptops and desktops."
    url: /2025/05/30/R-Arm-Community-Support.html
    subjects:
    - Performance and Architecture
    - Migration to Arm
    - Libraries
    platform:
    - Laptops and Desktops
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: Video-&-Audio-Provenance-In-The-Age-of-AI
    description: Integrating transparent provenance - disclosing whether media is
      AI-generated or AI-edited, and what other AI processing has occurred on any
      media - is fundamental for accountability in domains like journalism, security,
      and regulated industries. This project uses C2PA specification (www.c2pa.org)
      revision 2.3 to record such actions as signed, machine-verifiable assertions
      attached to the asset.
    url: /2026/02/12/Video-&-Audio-Provenance-In-The-Age-of-AI.html
    subjects:
    - ML
    - Security
    - Edge AI
    platform:
    - AI
    - Laptops and Desktops
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: AI-Agents
    description: "This self-service project builds a sandboxed AI agent on Arm hardware\
      \ that harnesses appropriately sized LLMs to safely automate complex workflows\u2014\
      from DevOps pipelines to e-commerce tasks\u2014demonstrating secure, efficient\
      \ automation on accessible Arm platforms."
    url: /2025/05/30/AI-Agents.html
    subjects:
    - ML
    - Edge AI
    - Cloud AI
    platform:
    - Servers and Cloud Computing
    - Laptops and Desktops
    - AI
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: Haskell-Compiler-Windows-on-Arm
    description: "This self-service project brings native Glasgow Haskell Compiler\
      \ support to Windows on Arm\u2014unlocking efficient Arm-laptop builds, extending\
      \ Haskell\u2019s reach, and giving contributors hands-on experience with Arm64\
      \ code generation and runtime integration."
    url: /2025/05/30/Haskell-Compiler-Windows-on-Arm.html
    subjects:
    - Migration to Arm
    - Performance and Architecture
    platform:
    - Servers and Cloud Computing
    - Laptops and Desktops
    sw-hw:
    - Software
    - Hardware
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: C-Based-Application-from-Scratch
    description: This self-service project goes back to the fundamentals. The challenge
      is to develop an application of your choice but your are only permitted to use
      the C language with as few dependencies as possible.
    url: /2025/07/11/C-Based-Application-from-Scratch.html
    subjects:
    - Performance and Architecture
    - Libraries
    platform:
    - IoT
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: NPC-LLM-Runtime
    description: This self-service project explores novel ways of integrating Large
      Language Models (LLMs) into real-time gameplay to drive dynamic Non-Playable
      Character (NPC) interactions.
    url: /2025/08/28/NPC-LLM-Runtime.html
    subjects:
    - ML
    - Gaming
    - Graphics
    - Edge AI
    platform:
    - AI
    - Mobile, Graphics, and Gaming
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: Python-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\u2014such as Pandas\u2014still\
      \ 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."
    url: /2025/11/03/Python-Porting-Challenge.html
    subjects:
    - Libraries
    platform:
    - Laptops and Desktops
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: AI-Powered-Porting-Tool
    description: "This self-service project creates an AI-driven porting engine that\
      \ analyzes package dependencies, auto-generates fixes, and submits pull requests\u2014\
      accelerating native macOS and Windows-on-Arm support for bioinformatics and\
      \ R software so researchers can run demanding workflows directly on modern Arm\
      \ devices."
    url: /2025/05/30/AI-Powered-Porting-Tool.html
    subjects:
    - CI-CD
    - ML
    - Migration to Arm
    - Edge AI
    platform:
    - Servers and Cloud Computing
    - Laptops and Desktops
    - Mobile, Graphics, and Gaming
    - AI
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: Architecture-Insight-Dashboard
    description: "This self-service project develops a data-rich dashboard that visualizes\
      \ the popularity of Arm CPU/OS combinations and pinpoints software-stack support\
      \ for specific extensions\u2014giving developers an instant, validated view\
      \ of where their workloads will run best."
    url: /2025/05/30/Architecture-Insight-Dashboard.html
    subjects:
    - Performance and Architecture
    - Web
    platform:
    - Servers and Cloud Computing
    - Laptops and Desktops
    - Mobile, Graphics, and Gaming
    - AI
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - 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\u2014turning responsible-AI\
      \ stress-testing into a core step of the development cycle."
    url: /2025/05/30/Responsible-AI-and-Yellow-Teaming.html
    subjects:
    - ML
    - Cloud AI
    platform:
    - Servers and Cloud Computing
    - Laptops and Desktops
    - AI
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: SpecINT2017-benchmarking-on-Arm64
    description: "This self-service project profiles SPEC CPU2017 on Arm64 servers\u2014\
      using GCC, Clang, and Arm Compiler with top-down analysis\u2014to reveal how\
      \ compiler choices and Arm micro-architectural features impact execution time,\
      \ energy efficiency, and performance bottlenecks."
    url: /2025/05/30/SpecINT2017-benchmarking-on-Arm64.html
    subjects:
    - Performance and Architecture
    - Migration to Arm
    platform:
    - Servers and Cloud Computing
    - Laptops and Desktops
    - AI
    sw-hw:
    - Software
    - Hardware
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: Processor-in-the-Loop-Automotive
    description: Verify a Simulink automotive controller by running processor-in-the-loop
      (PIL) tests on a virtual Arm Cortex M7 processor.
    url: /2025/05/30/Processor-in-the-Loop-Automotive.html
    subjects:
    - Embedded Linux
    - RTOS Fundamentals
    - Virtual Hardware
    platform:
    - Laptops and Desktops
    - Automotive
    - Embedded and Microcontrollers
    sw-hw:
    - Software
    - Hardware
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: AI-Defined-Vehicles-ADAS-IVI-on-Arm
    description: Modern vehicles are rapidly evolving into AI-defined, software-centric
      systems, where user experience, safety, and functionality are increasingly shaped
      by real-time data processing and on-device intelligence rather than fixed-function
      hardware. This project involves prototyping an AI-defined IVI system on the
      Arm-powered Radxa Orion O6.
    url: /2026/02/06/AI-Defined-Vehicles-ADAS-IVI-on-Arm.html
    subjects:
    - ML
    - Performance and Architecture
    - Physical AI
    - Edge AI
    - Graphics
    platform:
    - AI
    - Automotive
    sw-hw:
    - Software
    - Hardware
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: Bioinformatic-Pipeline-Analysis
    description: "This self-service project benchmarks Arm64 Bioconda packages in\
      \ real nf-core workflows\u2014measuring performance, diagnosing build failures,\
      \ and proposing fixes that accelerate truly native bioinformatics on the expanding\
      \ fleet of Arm-powered machines."
    url: /2025/05/30/Bioinformatic-Pipeline-Analysis.html
    subjects:
    - Performance and Architecture
    - Databases
    platform:
    - Servers and Cloud Computing
    - Laptops and Desktops
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: Ethos-U85-NPU-Applications
    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.
    url: /2025/11/27/Ethos-U85-NPU-Applications.html
    subjects:
    - ML
    - Performance and Architecture
    - Edge AI
    - Physical AI
    platform:
    - IoT
    - Embedded and Microcontrollers
    - AI
    sw-hw:
    - Software
    - Hardware
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: Arduino-IDE-Windows-on-Arm
    description: "This self-service project ports and optimizes the Arduino IDE\u2014\
      patching its lzma-native dependency\u2014to run natively and efficiently on\
      \ Windows on Arm, giving developers hands-on experience with cross-platform\
      \ builds, Arm64 performance tuning, and upstream open-source contributions."
    url: /2025/05/30/Arduino-IDE-Windows-on-Arm.html
    subjects:
    - Performance and Architecture
    - Migration to Arm
    - Libraries
    platform:
    - Laptops and Desktops
    sw-hw:
    - Software
    - Hardware
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: Computational-Photography
    description: This project creates and implements a novel computational photography
      pipeline that is optimized for Arm-based mobile devices using SME2 and neural
      technology. This project comes with the possibility of a hardware donation to
      support your efforts
    url: /2026/01/07/Computational-Photography.html
    subjects:
    - ML
    - Graphics
    - Edge AI
    platform:
    - Laptops and Desktops
    - AI
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    - Direct Support from Arm
    status:
    - Published
  - title: Academic-Trends-Dashboard
    description: "This self-service project creates a web-scraping, database-driven\
      \ dashboard that visualizes how computer-science research topics shift over\
      \ time\u2014helping Arm partners and chip architects align future hardware designs\
      \ with emerging algorithmic trends."
    url: /2025/05/30/Academic-Trends-Dashboard.html
    subjects:
    - Web
    - Databases
    platform:
    - Servers and Cloud Computing
    - Laptops and Desktops
    - Mobile, Graphics, and Gaming
    - AI
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: Edge-AI-On-Mobile
    description: Leverage the latest SME2 (Scalable Matrix Extension 2) available
      on the newest vivo X300 smartphones (built on Arm Lumex CSS) or other SME2-enabled
      devices 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.
    url: /2025/11/27/Edge-AI-On-Mobile.html
    subjects:
    - ML
    - Performance and Architecture
    - Libraries
    - Edge AI
    platform:
    - Mobile, Graphics, and Gaming
    - AI
    - IoT
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: HPC-Algorithm
    description: "This self-service project is around finding a HPC algorithm and\
      \ accelerating it with Arm\u2019s SVE/SVE2 vectorization\u2014demonstrating\
      \ how next-generation Arm hardware can deliver significant, scalable performance\
      \ gains."
    url: /2025/05/30/HPC-Algorithm.html
    subjects:
    - Performance and Architecture
    - Cloud AI
    platform:
    - Servers and Cloud Computing
    - Laptops and Desktops
    - AI
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: Humanoid-&-Quadruped-Robotics-&-AI
    description: Design and implement original software systems for low-cost Arm-based
      quadruped or humanoid robots, demonstrating physical AI through on-device perception,
      decision-making, and control.
    url: /2026/02/06/Humanoid-&-Quadruped-Robotics-&-AI.html
    subjects:
    - ML
    - Performance and Architecture
    - Physical AI
    - Edge AI
    platform:
    - AI
    - IoT
    - Automotive
    sw-hw:
    - Software
    - Hardware
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: Always-On-AI-with-Ethos-U85-NPU
    description: The vision of Edge AI compute is to embed low-power intelligent sensing,
      perception, and decision systems everywhere. A low-power always-on-AI island
      continuously monitors sensory inputs to detect triggers. When a trigger is detected,
      it wakes up a more capable processor to carry out high-value inference, interaction,
      or control tasks.
    url: /2025/11/27/Always-On-AI-with-Ethos-U85-NPU.html
    subjects:
    - ML
    - Performance and Architecture
    - Embedded Linux
    - RTOS Fundamentals
    - Edge AI
    - Physical AI
    platform:
    - IoT
    - Embedded and Microcontrollers
    - AI
    sw-hw:
    - Software
    - Hardware
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published
  - title: Game-Dev-Using-Neural-Graphics-&-Unreal-Engine
    description: "Build a playable Unreal Engine 5 game demo that utilises Arm\u2019\
      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."
    url: /2025/11/27/Game-Dev-Using-Neural-Graphics-&-Unreal-Engine.html
    subjects:
    - ML
    - Gaming
    - Libraries
    - Graphics
    - Edge AI
    platform:
    - Mobile, Graphics, and Gaming
    - Laptops and Desktops
    - AI
    sw-hw:
    - Software
    support-level:
    - Self-Service
    - Arm Ambassador Support
    status:
    - Published