Archives: Presentations

TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Hardware

MicroHD: An Accuracy-Driven Optimization of Hyperdimensional Computing Algorithms for TinyML systems

Simulating Battery-Powered TinyML Systems Optimised using Reinforcement Learning in Image-Based Anomaly Detection

Unlocking new frontiers in wearable technology with TinyML

Physics-Aware Auto Tiny Machine Learning

Presentation by Schneider Electrics

ExecuTorch: A PyTorch Software Stack for On-Device Machine Learning Execution

Pascal-range accurate ultra tiny pressure drift compensation

Designing Embedded NPUs for Transformer Networks

Unpacking the music genre recognition project from the TinyML Cookbook, second edition!