Archives: Presentations

Efficient on-device deep learning

Endpoint AI Revolution Driven by Standardized Computing Platform

Plenary: ML@ExtremeEdge of Always-on Intelligent Sensor Networks

tinyML: Enabling Ultra-low Power Always-On Computer Vision at Qualcomm

Verification of ML-based AI systems and its applicability in Edge ML

Hardware-aware Edge AI using the parameterizable ML accelerator UltraTrail

AutoML + TinyML with Edge Impulse’s EON Tuner

Chasing cows: Making Africa smarter with embedded ML

An Introduction to TinyML for all backgrounds with hands on introduction to Edge Impulse

A Practical Guide to Neural Network Quantization