QS ranks MIT the world’s No. 1 university for 2025-26
Ranking at the top for the 14th year in a row, the Institute also places first in 11 subject areas.
Ranking at the top for the 14th year in a row, the Institute also places first in 11 subject areas.
The low-cost, scalable technology can seamlessly integrate high-speed gallium nitride transistors onto a standard silicon chip.
In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
Composed of “computing bilinguals,” the Undergraduate Advisory Group provides vital input to help advance the mission of the MIT Schwarzman College of Computing.
Researchers designed a tiny receiver chip that is more resilient to interference, which could enable smaller 5G “internet of things” devices with longer battery lives.
Longtime MIT electrical engineer receives SPIE Frits Zernike Award for Microlithography in recognition of outstanding accomplishments in microlithographic technology.
A faculty member since 1994, Chandrakasan has also served as dean of engineering and MIT’s inaugural chief innovation and strategy officer, among other roles.
Protein sensor developed by alumna-founded Advanced Silicon Group can be used for research and quality control in biomanufacturing.
By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.
A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.
The system automatically learns to adapt to unknown disturbances such as gusting winds.
The winning essay of the Envisioning the Future of Computing Prize puts health care disparities at the forefront.
Coactive, founded by two MIT alumni, has built an AI-powered platform to unlock new insights from content of all types.
The approach could help animators to create realistic 3D characters or engineers to design elastic products.
Researchers developed an algorithm that lets a robot “think ahead” and consider thousands of potential motion plans simultaneously.