MIT gears up to transform manufacturing
The Initiative for New Manufacturing is convening experts across the Institute to drive a transformation of production across the U.S. and the world.
The Initiative for New Manufacturing is convening experts across the Institute to drive a transformation of production across the U.S. and the world.
New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.
Four new professors join the Department of Architecture and MIT Media Lab.
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.
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.
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
A computer vision study compares changes in pedestrian behavior since 1980, providing information for urban designers about creating public spaces.
ChemXploreML makes advanced chemical predictions easier and faster — without requiring deep programming skills.
The faculty members’ work comprises multifaceted research and scholarship across a wide range of disciplines.
MIT researchers found that special kinds of neural networks, called encoders or “tokenizers,” can do much more than previously realized.
The AI-enabled platform serves as a hub for MIT’s lifelong learning opportunities.
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.
The simulations matched results from an underground lab experiment in Switzerland, suggesting modeling could be used to validate the safety of nuclear disposal sites.