The SFSU team aims to utilize Sony’s Spresense microcontroller board to develop efficient deep-learning algorithms for real-time high-density surface electromyography (HD-EMG) signal processing.

UC Davis University showcased their project to build a series of Unmanned Aerial Vehicles (UAVs). The goal is serving as a mobile sensor network to predict the spatial and temporal propagation of air pollution caused by wildfires.

This competition was centered on the theme of "Tiny Machine Learning on Sony Spresense" and was designed to catalyze innovative concepts in the realm of smart wireless sensors.