Here, we provide the hands-on opportunity to learn and practice state-of-the-art implementations related to tinyML and neuromorphic systems. We invite researchers, faculty members, industry professionals, and students to participate and provide their feedback.

tinyML is a field of study in Machine Learning and Embedded Systems that explores the types of models which can run on small, low-powered devices like microcontrollers. It enables low-latency, and low power model inference at edge devices.