Workshops
- October 18-22, 2021: SciTinyML - Scientific Use of Machine Learning on Low-Power Devices. Slides and Videos can be found on the Workshop Website.
Seminars
All Seminar Videos can be found at this playlist.
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September 17, 2021: Academic Network Introduction and Why the Future of ML is Tiny and Bright with Prof. Vijay Janapa Reddi of Harvard University. Vijay’s Slides. Full Seminar Video.
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October 1, 2021: Software Tools for TinyML with Prof. Marcelo Rovai of Universidade Federal de Itajubá. Marcelo’s Slides. Full Seminar Video. Chat Log.
- October 8, 2021: Case Studies of Embedded ML in Rwanda and Brazil.
- Academic Network AMA hosted by Marco Zennaro. Marco’s Slides. Video of Marco’s Presentation.
- COVID-19 Cough Detection by Stéfany Coura Coimbra. Video.
- Coffee Disease Classification with ML by João Yamashita. Video.
- Offline Prediction of Cholera in Rural Communal Tap Waters Using Edge AI Inference by Marvin Muyonga Ogore. Video.
- Atrial Fibrillation and Sinus Rhythm Detection Using ML in Embedded Systems by Ghuilherme Silva and Mateus Lima. Video.
- December 10, 2021:
- 2021 Summary and Plan for 2022 by Marco Zennaro of ICTP. Video.
- Getting Started with the Wio Terminal and Edge Impulse by Huiying Lai of Seeed Studio. Seed’s Getting Started with TinyML guide. Video.
Talks
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September 7 2021: Embedded Machine Learning (TinyML) - A Brazilian Educational Experience at Universidade Federal de Itajubá (UNIFEI) by Prof. Marcelo Rovai at the AI Expo Africa 2021. Video
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September 29 2021: Preparing for the Age of Artificial Intelligence by Hal Speed & Marco Zennaro. Slides
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November 17, 2021: TinyMLedu at the TinyML for Good Workshop. Video of the STEM lightning talks by Prof. Vijay Janapa Reddi, Marco Zennaro, Hal Speed, Greg Gage, and Brian Plancher can be found here.
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November 23, 2021: AIoT When IoT Meets AI at the AI for Good Conference by Prof. Marcelo Rovai and Marco Zennaro. View the presentation abstract.
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January 13, 2022: TinyMLedu at the TinyML Toronto Virtual Meetup. Talks by Brian Plancher and Greg Gage. Slides and Video Coming Soon.
Demos
- Key Word Spotting on the Arduino Nano 33 BLE Sense using Edge Impulse Studio by Prof. Marcelo Rovai. Video.
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