Archives: Presentations

tinyML Trailblazers with Zach Shelby

Event-based sensing and computing for efficient edge artificial intelligence and TinyML applications

Architecture-Compiler Co-Optimization of Computing-in-Memory Edge-AI Accelerators

Optimizing data-flow in Binary Neural Networks

On-device continuous event-driven deep learning to avoid model drift

Continual On-device Learning on Multi- Core RISC-V MicroControllers

In Sensor and On-device Tiny Learning for Next Generation of Smart Sensors

A framework of algorithms and associated tool for on-device tiny learning

Whole-model optimization with Apache TVM

Bringing face-swapping to the very edge with Phinets