The art and science of being an MIT teaching assistant
Training an ever-growing percentage of MIT’s students, the Department of Electrical Engineering and Computer Science relies heavily on dedicated and passionate TAs.
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Training an ever-growing percentage of MIT’s students, the Department of Electrical Engineering and Computer Science relies heavily on dedicated and passionate TAs.
Bowen’s innovative work helped transform ceramics and manufacturing education at MIT and beyond.
New research can identify opportunities to drive down the cost of renewable energy systems, batteries, and many other technologies.
Faculty members were honored in recognition of their scholarship, service, and overall excellence.
New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.
Storage systems from Cloudian, co-founded by an MIT alumnus, are helping businesses feed data-hungry AI models and agents at scale.
By visualizing Escher-like optical illusions in 2.5 dimensions, the “Meschers” tool could help scientists understand physics-defying shapes and spark new designs.
New professors join Comparative Media Studies/Writing, History, Linguistics and Philosophy, Music and Theater Arts, and Political Science.
This new approach could lead to enhanced AI models for drug and materials discovery.
Groundbreaking MIT concert, featuring electronic and computer-generated music, was a part of the 2025 International Computer Music Conference.
The flexible chip could boost the performance of current electronics and meet the more stringent efficiency requirements of future 6G technologies.
The platform identifies, mixes, and tests up to 700 new polymer blends a day for applications like protein stabilization, battery electrolytes, or drug-delivery materials.
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
MIT researchers found that special kinds of neural networks, called encoders or “tokenizers,” can do much more than previously realized.
Language models follow changing situations using clever arithmetic, instead of sequential tracking. By controlling when these approaches are used, engineers could improve the systems’ capabilities.