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New understanding of how nuclear fuel breaks down and changes in an operating nuclear reactor could help keep some reactors running longer, will inform the next generation of nuclear reactor fuel systems.
“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.
A new technique produces wafer-scale samples, overcoming a major roadblock to using these materials in quantum technologies.
The “ShiftLens” design and fabrication system creates objects that change their surface appearance based on user interactions, without any electronics.
Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.
An expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.
A new fabrication platform integrates molecules into electronic devices, opening the door to emerging computing technologies.
Philosopher Brian Hedden studies decision-making over time — and recently chose to return to alma mater MIT, where he is now connecting ethics and computing.
Director of CSAIL and MIT professor honored for her contributions to robotics, artificial intelligence, and autonomous systems.
The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence.
Known for his clear and elegant writing style, Bertsekas shaped fields from control and optimization to large-scale computation and artificial intelligence.
A recent reunion activity, taught by EECS Senior Lecturer Gim Hom, doubled as both his “last class” and a chance to reconnect with classmates.
New professors join the Comparative Media Studies/Writing, Economics, Linguistics, and Music and Theater Arts departments.
Assistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive.
Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.