Edge computing focuses on the efficient deployment of machine learning workloads on small, constrained edge devices such as the Raspberry Pi, Jetson Nano, and Coral TPU. To allow modern machine learning models to be run on such devices, techniques such as quantization, approximate computing, and in-sensor computing can be further researched to enable energy-efficient computing while retaining accuracy.

LLMs at the Edge

In-Sensor Computing

Sponsors