Fabricaide, developed at MIT CSAIL, provides live design feedback to help users reduce leftover material.

Researchers created a risk-assessment algorithm that shows consistent performance across datasets from US, Europe, and Asia.

A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.

Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.

A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.

MIT is among nine universities selected as part of a program sponsored by the DoE to support science-based modeling and simulation and exascale computing technologies.

Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.

Five years in the making, MIT’s autonomous floating vessels get a size upgrade and learn a new way to communicate aboard the waters.

System developed at MIT CSAIL aims to help linguists decipher languages that have been lost to history.

Convened by the MIT Schwarzman College of Computing, the AI Policy Forum will develop frameworks and tools for governments and companies to implement concrete policies.