TinyML and the Developing World

How to design a power frugal hardware for AI – the bio-inspiration path

Edge Machine Learning for Mobile Health Technologies

Speech-to-intent model deployment to low-power low-footprint devices

tinyML Vision Challenge: Intel-Luxonis Vision Platform

tinyML Vision Challenge – Himax & Edge Impulse

State of the TinyML today (Applications, état de l’art et enjeux du TinyML)

Dedicated Audio Processors at the Edge are the Future of AI

Using AI to design energy-efficient AI accelerators for the edge

Training Embedded AI/ML Using Synthetic Data