News

A new AI-powered, virtual platform uses real-world physics to simulate a rich and interactive audio-visual environment, enabling human and robotic learning, training, and experimental studies.

By integrating multiple sensory inputs, a loop of mutual inhibition among a small set of neurons allows worms to switch between long-lasting behavioral states.

Senior Shardul Chiplunkar aims to be a translator between the tech world and the rest of society.

Nine MIT researchers selected as finalists for 2021 prize supported by Northpond Ventures; grand prize winner to receive $250K toward commercializing her human health-related invention.

A new machine-learning model could enable robots to understand interactions in the world in the way humans do.

Professor Bilge Yildiz finds patterns in the behavior of ions across applications.

Condensed-matter theory PhD candidate Makinde Ogunnaike is featured in the Poetry of Science project.

Study suggests this area of the visual cortex emerges much earlier in development than previously thought.

Human neurons have fewer ion channels, which might have allowed the human brain to divert energy to other neural processes.

A new machine-learning system helps robots understand and perform certain social interactions.