A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.

MIT researchers work to discover biodegradable polyesters, with support from the MIT Climate and Sustainability Consortium, J-WAFS, and DIC Corp.

A new material developed by MIT engineers exhibits “record-breaking” vapor absorption.

A new Jell-O-like material could replace metals as electrical interfaces for pacemakers, cochlear implants, and other electronic implants.

Tactile stimulation improved motor performance, reduced phosphorylated tau, preserved neurons and synapses, and reduced DNA damage, a new study shows.

Using insights into how people intuit others’ emotions, researchers have designed a model that approximates this aspect of human social intelligence.

Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.

A study inspired by the Japanese paper-cutting art provides a blueprint for designing shape-shifting materials and devices.

This machine-learning method could assist with robotic scene understanding, image editing, or online recommendation systems.

The new findings could explain biodiversity hotspots in tectonically quiet regions.