https://ai-tech-research-lab.github.io/tiny2026/
The computing everywhere paradigm is paving the way for the pervasive diffusion of tiny devices (such as Internet-of-things or edge computing devices) endowed with intelligent abilities. Achieving this goal requires machine and deep learning solutions to be completely redesigned to fit the severe technological constraints on computation, memory, and power consumption typically characterizing these tiny devices. This is exactly where Tiny Machine Learning (TinyML) comes into play. TinyML is a new and promising area of Machine Learning aimed at designing and developing Machine and Deep Learning solutions that can be executed on tiny devices.
This special session aims at exploring the latest advancements, models, algorithms, methodologies, and applications in TinyML.