New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.

New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.

MIT undergraduate researchers Helena Merker, Harry Heiberger, and Linh Nguyen, and PhD student Tongtong Liu, exploit machine-learning techniques to determine the magnetic structure of materials.

Battery power from electric vehicles to the grid could open a fast lane to a net-zero future.

Researchers have developed a programmable optical device for high-speed beam steering.

The MIT senior will pursue postgraduate studies in computer science in Ireland.

New system can teach a group of cooperative or competitive AI agents to find an optimal long-term solution.

New research reveals a scalable technique that uses synthetic data to improve the accuracy of AI models that recognize images.

Researchers harness new pooled, image-based screening method to probe the functions of over 5,000 essential genes in human cells.

A new technique that accurately measures how atom-thin materials expand when heated could help engineers develop faster, more powerful electronic devices.