Computing With Chemicals Makes Faster, Leaner AI - IEEE Spectrum

A device that draws inspiration from batteries now appears surprisingly well suited to run artificial neural networks. Called electrochemical RAM (ECRAM), it is is quickly moving toward the head of the pack in the race to develop the perfect artificial synapse.

Artificial Intelligence in Drug Toxicity Prediction: Recent Advances, Challenges, and Future Perspectives

An analytical study on the identification of N-linked glycosylation sites using machine learning model [PeerJ]

Discovering faster matrix multiplication algorithms with reinforcement learning

Free Course: From Compressed Sensing to Deep Learning: Tasks, Structures and Models from IEEE Signal Processing Society

JAIT

Neuromorphic Computing

Full article: Emerging applications of machine learning in genomic medicine and healthcare

News - MIT-IBM Watson AI Lab

The role of machine learning in clinical research: transforming the future of evidence generation, Trials