TinyML

A University of Wollongong researcher has developed a TinyML-powered device that detects disease-carrying mosquitoes by their wing-beat buzz with 88.3% accuracy, aiming to reduce the 700,000 annual de…

Researchers introduced D2H-AD, a hybrid anomaly detection framework using Hyperdimensional Computing that outperforms five baselines including One-Class SVM and Autoencoders across benchmark datasets.…