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starting updates + research page but missing papers
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_config.yml

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locale : "en-US"
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title : "TinyMLedu"
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title_separator : "-"
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subtitle : "The Tiny Machine Learning Open Education Initiative"
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subtitle : ""
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name : "TinyMLedu"
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description : "The Tiny Machine Learning Open Education Initiative"
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url : "https://tinymlx.github.io" # the base hostname & protocol for your site e.g. "https://mmistakes.github.io"

_data/materials/workshops.yaml

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url: "https://www.tinyml.org/"
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4D_Event: 1
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- title: "TinyML at AAU"
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subtitle: "A Workshop at Addis Ababa University"
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date: "March 2023"
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audience: "Everyone"
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language_instruction: "English"
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language_materials: "English"
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links:
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- url: "https://github.com/Mjrovai/TinyML4D/tree/main/AAU"
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title: "Materials"
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thumbnails:
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- image: "/assets/images/thumbnails/unifei.png"
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alt: "Universidade Federal de Itajubá (UNIFEI)"
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url: "https://unifei.edu.br/"
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- image: "/assets/images/thumbnails/aau.png"
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alt: "Addis Ababa University (AAU)"
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url: "http://www.aau.edu.et/"
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4D_Event: 1
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- title: "WALC 2022 Track 7"
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subtitle: "Applied Artificial Intelligence"
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date: "November 2022"

_data/navigation.yml

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main:
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- title: "Home"
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url: "/"
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- title: "TinyML Courses"
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- title: "Courses & Materials"
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url: "/courses"
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- title: "Teach TinyML"
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url: "/teach"
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- title: "4D Network"
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url: "/4D"
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- title: "SciTinyML"
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url: "/SciTinyML"
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- title: "Research"
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url: "/research"
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- title: "About Us"
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url: "/team"
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- title: "Working Groups"
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url: "/workingGroups"
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- title: "Sponsors"
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url: "/sponsors"
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- title: "Discourse"
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url: "https://discuss.tinymlx.org"
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- title: "GitHub"
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url: "https://github.com/tinyMLx"
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- title: "Sponsors"
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url: "/sponsors"
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- title: "Team"
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url: /team/
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- title: "TinyML Kit"
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url: "https://store.arduino.cc/usa/tiny-machine-learning-kit"

_data/research.yaml

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journal:
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- title: "Machine Learning Sensors: A Design Paradigm for the Future of Intelligent Sensors"
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authors: "Pete Warden, Matthew Stewart, Brian Plancher, Sachin Katti, Vijay Janapa Reddi"
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pub: "Communications of the ACM (CACM)"
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links:
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- title: "Webpage"
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url: "http://mlsensors.org/"
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- title: "Technical Report"
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url: "https://brianplancher.com/publication/mlsensors/"
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date: "Coming 2023"
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thumbnails:
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- image: "/assets/images/thumbnails/stanford.png"
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alt: "Stanford University"
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url: "https://www.stanford.edu/"
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- image: "/assets/images/thumbnails/harvard_seas.svg"
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alt: "Harvard John A. Paulson School of Engineering and Applied Sciences"
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url: "https://www.seas.harvard.edu/"
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- image: "/assets/images/thumbnails/barnard.png"
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alt: "Barnard College"
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url: "https://cs.barnard.edu/"
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- title: "Widening Access to Applied Machine Learning with TinyML"
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authors: "Vijay Janapa Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney, Pete Warden, Anant Agarwal, Colby Banbury, Massimo Banzi, Matthew Bennett, Benjamin Brown, Sharad Chitlangia, Radhika Ghosal, Sarah Grafman, Rupert Jaeger, Srivatsan Krishnan, Maximilian Lam, Daniel Leiker, Cara Mann, Mark Mazumder, Dominic Pajak, Dhilan Ramaprasad, J. Evan Smith, Matthew Stewart, Dustin Tingley"
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pub: "Harvard Data Science Review"
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doi: "10.1162/99608f92.762d171a"
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url: "https://hdsr.mitpress.mit.edu/pub/0gbwdele/release/3"
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date: "January 2022"
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thumbnails:
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- image: "/assets/images/thumbnails/harvard_seas.svg"
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alt: "Harvard John A. Paulson School of Engineering and Applied Sciences"
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url: "https://www.seas.harvard.edu/"
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- image: "/assets/images/thumbnails/edX.png"
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alt: "edX"
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url: "https://www.edx.org/"
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conference:
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- title: "Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots"
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authors: "Sabrina M. Neuman, Brian Plancher, Bardienus Duisterhof, Srivatsan Krishnan, Colby Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C.H.E. de Croon, Vijay Janapa Reddi"
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pub: "IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)"
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doi: "10.1109/AICAS54282.2022.9870000"
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date: "June 2022"
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thumbnails:
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- image: "/assets/images/thumbnails/harvard_seas.svg"
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alt: "Harvard John A. Paulson School of Engineering and Applied Sciences"
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url: "https://www.seas.harvard.edu/"
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other:
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- title: "Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers"
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authors: "Shvetank Prakash, Matthew Stewart, Colby Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi"
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pub: "arXiv Preprint"
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links:
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- title: "PDF"
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url: "https://arxiv.org/abs/2301.11899"
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- title: "Footprint Calculator"
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url: "https://harvard-edge.github.io/TinyML-Footprint/"
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date: "January 2023"
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thumbnails:
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- image: "/assets/images/thumbnails/harvard_seas.svg"
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alt: "Harvard John A. Paulson School of Engineering and Applied Sciences"
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url: "https://www.seas.harvard.edu/"
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- image: "/assets/images/thumbnails/barnard.png"
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alt: "Barnard College"
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url: "https://cs.barnard.edu/"
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- image: "/assets/images/thumbnails/stanford.png"
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alt: "Stanford University"
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url: "https://www.stanford.edu/"
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- title: "TinyML: Applied AI for Development"
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authors: "Marco Zennaro, Brian Plancher, Vijay Janapa Reddi"
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pub: "The UN 7th Multi-stakeholder Forum on Science, Technology and Innovation for the Sustainable Development Goals"
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links:
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- title: "PDF"
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url: "https://sdgs.un.org/sites/default/files/2022-05/2.1.3-9-Zennaro-TinyML.pdf"
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date: "May 2022"
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thumbnails:
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- image: "/assets/images/thumbnails/ictp.svg"
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alt: "The Abdus Salam International Centre for Theoretical Physics (ICTP)"
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url: "https://www.ictp.it/"
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- image: "/assets/images/thumbnails/harvard_seas.svg"
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alt: "Harvard John A. Paulson School of Engineering and Applied Sciences"
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url: "https://www.seas.harvard.edu/"
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- title: "TinyMLedu: The Tiny Machine Learning Open Education Initiative"
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authors: "Brian Plancher, Vijay Janapa Reddi"
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pub: "ACM Technical Symposium on Computer Science Education (SIGCSE)"
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doi: "10.1145/3478432.3499093"
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date: "March 2022"
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thumbnails:
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- image: "/assets/images/thumbnails/harvard_seas.svg"
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alt: "Harvard John A. Paulson School of Engineering and Applied Sciences"
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url: "https://www.seas.harvard.edu/"

_includes/research_table

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{% if include.paper_list %}
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| Lead Organizations | Title | Author(s) | Publication | Date | Links |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- |
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{% for row in include.paper_list %} | {% for thumbnail in row.thumbnails %}{% if thumbnail.image %}{% if thumbnail.url %}[{% endif %}<img src="{{ thumbnail.image | relative_url }}" {% if thumbnail.alt %}alt="{{ thumbnail.alt }}"{% endif %} style="max-height:35pt; width:auto;">{% if thumbnail.url %}]({{ thumbnail.url }}){% endif %}{% endif %}{% endfor %} | **{{ row.title }}** | {{ row.authors }} | {{ row.pub }} | {{ row.date }} | {% if row.doi %} [DOI](https://doi.org/{{ row.doi }})<br />{% endif %}{% for link in row.links %}[{{ link.title }}]({{ link.url }})<br />{% endfor %} |
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{% endfor %}
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{% endif %}

_pages/main/courses.md

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---
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title: "Take a Free Online Course to Learn More about TinyML"
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title: "Take a Free Online Course or Teach Your Own!"
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layout: splash
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permalink: /courses/
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date:
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header:
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overlay_color: "#00A"
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overlay_filter: "0.5"
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overlay_image: /assets/images/banner.jpg
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excerpt: "We've provided links below to free online courses on edX and Coursera to help you get started learning about TinyML!"
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excerpt: "We've provided links below to free online courses on edX and Coursera to help you get started learning about TinyML as well as a host of open source course materials you can use to teach your own course!"
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courses:
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- title: "Take a Free Online Course to Learn More"
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teach:
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- title: "Build and Teach Your Own Course"
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---
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{% include feature_row id="mooc_courses_list" %}
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{% include section_break %}
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{% include feature_row id="courses" type="center" %}
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{% include section_break %}
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{% include feature_row id="mooc_courses_list" %}
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{% include section_break %}
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{% include feature_row id="teach" type="center" %}
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{% include section_break %}
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{% include all_materials %}

_pages/research.md

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---
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title: "View Our Research"
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layout: splash
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permalink: /research/
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date:
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header:
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overlay_color: "#00A"
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overlay_filter: "0.5"
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overlay_image: /assets/images/banner.jpg
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excerpt: "Explore our Academic Publications."
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---
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## Journal Articles
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{% include research_table paper_list = site.data.research.journal %}
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## Conference Papers
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{% include research_table paper_list = site.data.research.conference %}
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## Other Publications
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{% include research_table paper_list = site.data.research.other %}

_pages/team.md

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permalink: /team/
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permalink: "/team"
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excerpt: "We are an international group of academics and industry professionals working to improve global access to educational materials for the cutting-edge field of TinyML. TinyML brings the transformative power of machine learning (ML) to the performance- and power-constrained domain of embedded systems. Successful deployment in this field requires knowledge of applications, algorithms, hardware, and software. TinyMLedu is hosted by the Harvard John A. Paulson School of Engineering and Applied Sciences in collaboration with the tinyML Foundation."
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_pages/workingGroups/4D/academicNetwork.md

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network_map:
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- image_path: /assets/images/workingGroups/4D/AN_Map2.jpg
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alt: "TinyML4D Academic Network"
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excerpt: "With support from the [**International Centre for Theoretical Physics (ICTP)**](https://www.ictp.it/) a first group of 20 Universities have joined the network in Summer 2021."
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excerpt2: "We are expanding the network -- if you are interested in joining please fill out this form: [https://bit.ly/TinyML4D-Network-Call-2](https://bit.ly/TinyML4D-Network-Call-2)!"
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excerpt: "With support from the [**International Centre for Theoretical Physics (ICTP)**](https://www.ictp.it/) a first group of 20 Universities joined the network in Summer 2021 and another 20 in Summer 2022."
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excerpt2: "We have also partnered with the [Edge Impulse Academic Network](https://www.edgeimpulse.com/university) to further expand our reach by co-promoting events, workshops, seminars, and activities!"
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excerpt_large: true
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excerpt2_large: true
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url: /assets/images/workingGroups/4D/AN_Map2.jpg
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With support from our [sponsors](/sponsors), member universities will each be given ten Arduino Tiny Machine Learning Kits for free which they can use for the hands-on lab components of the specialization and for further exploration of the opportunities and challenges of deploying and testing their own TinyML projects.
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You can contact the TinyML4D committee with any questions regarding this network or the workshops at {% include email %}
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You can contact the TinyML4D committee with any questions regarding this network or the workshops at [{% include email %}](mailto:{% include email %})
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You can express your interest in joining the network by filling in this form: [https://bit.ly/TinyML4D-Network-Call-2](https://bit.ly/TinyML4D-Network-Call-2)!
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<!-- You can express your interest in joining the network by filling in this form: [https://bit.ly/TinyML4D-Network-Call-2](https://bit.ly/TinyML4D-Network-Call-2)! -->
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{% include section_break %}
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To return to the main 4D page [click here](/4D).

_pages/workingGroups/4D/index.md

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news:
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- title: 'Recent News'
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materials:
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- title: 'Teach Your Own TinyML Course'
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courses:
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- title: 'Take a Free Online TinyML Course'
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- title: 'Take a Free Online TinyML Course or Teach Your Own Course'
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- title: 'Get Involved'
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{% include feature_row id="news" type="center" %}
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**We are looking forward to the regional seminars we are running this spring/summer.** We will be hosting seminars leading up to the workshop to help prepare learners. Please check you email or Discord for news about upcoming seminars. You can also find links to all of our past events below.
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**We are also expanding our academic network -- if you are interested in joining please fill out this form: [https://bit.ly/TinyML4D-Network-Call-2](https://bit.ly/TinyML4D-Network-Call-2)!**
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**[SciTinyML 2023](/SciTinyML-23)** will be run remotely in English for 2023 from April 17-21. **Register to attend for free by Friday, April 7, 2023 on the [ICTP website](https://indico.ictp.it/event/10166)!**
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We are also actively **soliciting submissions for short talks** during our Show and Tell day! Please [follow this link](https://tinymledu.org/SciTinyML-23/cfp/) to learn more!
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{% include feature_row id="activities" type="center" %}
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{% include feature_row id="4D_feature_list" max_height="150px" %}
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{% include feature_row id="courses" type="center" %}
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We've collected links to free online courses on edX and Coursera to help you get started learning about TinyML. To view the current course offerings check out our [TinyML Courses](/courses/) page!
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{% include feature_row id="materials" type="center" %}
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We are working to collect materials from all courses that teach TinyML to create an easy to access repository of course modules, readings, slides, assignments, etc. To view our current materials and learn more about teaching your own TinyML course check out our [Teach TinyML](/teach/) page!
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We've collected links to free online courses on edX and Coursera to help you get started learning about TinyML. We are also working to collect materials from all courses that teach TinyML to create an easy to access repository of course modules, readings, slides, assignments, etc. To view the current course offerings and materials check out our [TinyML Courses and Materials](/courses/) page!
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{% include feature_row id="join" type="center" %}
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If you want to be more involved with our effort to help improve access to TinyML educational materials and hardware resources worldwide, or would like to be a part of the network, reach out to us at {% include email %}!
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If you want to be more involved with our effort to help improve access to TinyML educational materials and hardware resources worldwide, or would like to be a part of the network, reach out to us at [{% include email %}](mailto:{% include email %})!
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{% include section_break %}
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To return to the main working groups page [click here](/workingGroups).

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