Ultra-low Power Always-On Computer Vision

Better Learning Through Specialization

What Can In-memory Computing Deliver, and What Are the Barriers?

Ultra Low Power Inference at the Very Edge of the Network

The Next Level of Energy-efficient Edge Computing

From Small to Tiny: How to Co-design ML Models, Computational Precision and Circuits in the Energy-Accuracy Trade-off Space

Plenary: “The Road to Innovation for AI Chips in China”

Leveraging Optimized CNN on tiny ULP microcontrollers for AI solutions in Notebook, Automotive and security

Object detection (e.g. custom, face, person, car) using 63 microjoules

Automatically build Machine Learning Applications for the Edge with Qeexo AutoML