MIT engineers designed a nanofiltration process that could make aluminum production more efficient while reducing hazardous waste.

MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.

A small fleet of autonomous surface vessels forms a large sonar array for finding submerged objects.

Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.

Research from the MIT Center for Constructive Communication finds this effect occurs even when reward models are trained on factual data.

MIT pK-12 at Open Learning co-created a secondary school learning architecture that’s available for adoption and adaptation by educational practitioners worldwide.

Extraction of nickel, an essential component of clean energy technologies, needs stronger policies to protect local environments and communities, MIT researchers say.

By snugly wrapping around neurons, these devices could help scientists probe subcellular regions of the brain, and might even help restore some brain function.

Researchers developed an easy-to-use tool that enables an AI practitioner to find data that suits the purpose of their model, which could improve accuracy and reduce bias.

More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.