tinyEOD: Small Deep Neural Networks and Beyond for Embedded Vision Applications

Improving accuracy of neural networks compressed using fixed structures via doping

TinyML and Novel AI Workflow Enables Smarter Wireless Low Power Sensors Managed and Deployed at Large Scale at the Far Edge

Pushing the Limits of Ultra-low Power Computer Vision for tinyML Applications

Extended Bit-Plane Compression: Alleviating the Costs of Data Transfer for Edge AI

Bio-inspired analog architecture for ultra-low power always-on sensing

Enabling Computer Vision and AI on the edge with milliWatts

Vau da Muntanialas: An Energy-Efficient Systolic Array of LSTM Accelerators

MediaPipe: Building real time cross platform (mobile, web, edge, desktop) video audio ML pipelines

Low Power Embedded Gesture Recognition Using Novel Short-Range Radar Sensors