tinyML is a cutting-edge field that brings the power of machine learning (ML) to the performance- and power-constrained domain of tiny devices and embedded systems. This is a fast growing field of ML technologies and applications including hardware, algorithms, and software capable of performing on-device sensor (vision, audio, IMU, biomedical, etc.) data analytics at extremely low power, enabling a variety of always-on use-cases.
The first edition of the tinyML Challenge (in 2022) is organized by ITU in conjunction with the tinyML Foundation to to create a low-cost, low-power, reliable, accurate, easy to install and maintain weather station, with no mechanical moving parts for measuring all weather conditions with a focus on rain and wind, based on tinyML, that can be deployed locally.
