Assistant Professor Gabriele Farina mines the foundations of decision-making in complex multi-agent scenarios.

An old patent from MIT Professor Bill Freeman inspired the new “Y-zipper,” a three-sided fastener that snaps gear, robots, and art into shape at the push of a button.

A new debiasing technique called WRING avoids creating or amplifying biases that can occur with existing debiasing approaches.

A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.

A new study reveals cellular pathways that appear to underlie some differences in physical fitness.

A new training method improves the reliability of AI confidence estimates without sacrificing performance, addressing a root cause of hallucination in reasoning models.

Researchers are developing hardware and algorithms to improve collaboration between divers and autonomous underwater vehicles engaged in maritime missions.

Researchers use control theory to shed unnecessary complexity from AI models during training, cutting compute costs without sacrificing performance.

Researchers developed a system that intelligently balances workloads to improve the efficiency of flash storage hardware in a data center.

By quickly generating aesthetically accurate previews of fabricated objects, the VisiPrint system could make prototyping faster and less wasteful.