MuscleRehab is a system that uses electrical impedance tomography and optical motion tracking for visualizing muscle engagement and motion data during unsupervised physical rehabilitation.

MIT and Harvard Medical School researchers mapped out many of the cells, genes, and cellular pathways that are modified by exercise or high-fat diet.

Researchers created a system that lets robots effectively use grasped tools with the correct amount of force.

Peter Shor, the Morss Professor of Applied Mathematics at MIT, wins share of $3 million Breakthrough Prize in Fundamental Physics.

By continuously monitoring a patient’s gait speed, an in-home wireless system can assess the condition’s severity between visits to the doctor’s office.

Professor Hal Abelson has dedicated his career to making information technology more accessible to all and empowering people — kids, in particular — through computer science.

Researchers develop a new method that uses multiple models to create more complex images with better understanding.

Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.

On its own, a new machine-learning model discovers linguistic rules that often match up with those created by human experts.

The Lincoln Laboratory Supercomputing Center has released a dataset containing more than a million jobs run on its TX-GAIA supercomputer. The data can help feed AI research into optimizing data center resources.