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IESTI01 TinyML 2021.2 - Class 19 - Motion Classification
TinyML and Firmware Demystified: Powering AI on Minimal Hardware
IESTI01 TinyML 2021.2 - Class 20 - Motion Classification with MCU
tinyML Talks: On-sensor TinyML implementation: Advancing Neuroscience through Wearable Devices
Task Gesture Classification with ESP32 and TinyML Explanation by S-tee Group
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Last Updated: September 30, 2026
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Embedded Machine Learning deployment on Arduino using Edge Impulse. UNIFEI - Machine Learning for Embedding Devices ( AI is getting smaller, faster, and smarter—without the need for constant cloud connectivity. With Auto ML Deep Dive Tutorial with SensiML by Marc Giroux, Software Development Lead and Ehsan Kourkchi, Chief Data Scientist. Continual On-device Learning on Multi- Core RISC-V MicroControllers Manuele RUSCI, Embedded Machine Learning Engineer, ... This video was made as a complement to college assignments "Gesture