Archives: Presentations

Smart and Connected Soft Biomedical Stethoscope and Machine Learning for Continuous Real-Time Auscultation and Automated Disease Detection

Brain Inspired ISFET Arrays – A Tiny ML approch to Lab-on-Chip Diagnostics

Monostable Multivibrator Networks: extremely low power inference at the edge with timer neurons

Ultra-Low Power Gesture Recognition with pMUT Arrays and Spike-based Beamforming

Event sensors for embedded edge AI vision applications

Powering Machine Learning (ML) applications on Arm with “algae”

TinyDenoiser: RNN-based Speech Enhancement on a Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantization

Tiny-MLOps: orchestrate ML applications at the edge of the network and beyond

From the cloud to the edge: reverse-engineering and downsizing a black box ML algorithm

An Embedded EOG-based BCI System for Robotic Control