no code implementations • 30 Nov 2021 • Anas Osman, Usman Abid, Luca Gemma, Matteo Perotto, Davide Brunelli
Recent advances in state-of-the-art ultra-low power embedded devices for machine learning (ML) have permitted a new class of products whose key features enable ML capabilities on microcontrollers with less than 1 mW power consumption (TinyML).