Special Session on Tiny Machine Learning - June 30 2024, Yokohama, Japan
We are glad to announce the Special Session on Tiny Machine Learning, to be held in Yokohama, Japan in WCCI 2024. All the information about the conference can be found at the official website.
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.
Authors are invited to submit articles combining aspects of tiny devices
and ML.
We welcome papers on a wide range of topics, including but not limited to:
Submission rules and form can be found in the official conference website.
You can contact the organizers at tinyml2024@gmail.com
Coming soon.