Archives: Presentations

Deep Learning Advances in Radar-based Human Sensing

tinyML Seattle Social

On-Device Domain Adaptation for Noise-Robust Keyword Spotting

The Future of AI is “On-Device”

Unlocking TinyML: A Cost-Efficient Approach to Custom Microcontroller Design for AI Applications

Buttonless Remote Control – Reproduce on your device

Quantization Techniques for Efficient Large Language Model Inference

Towards Efficient Neural Rendering

Optimized Event-Driven Spiking Neural Network for Low-Power Neuromorphic Platform

Minimizing resource usage in microcontrollers for cost effective solutions