Scientists use generative AI to answer complex questions in physics
A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.
A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.
The Trustnet browser extension lets individuals assess the accuracy of any content on any website.
Professor of political science Evan Lieberman discusses his research into perceptions among African and American citizens about the climate crisis and how their governments are responding.
Guoping Feng, Piotr Indyk, Daniel Kleitman, Daniela Rus, Senthil Todadri, and nine alumni are recognized by their peers for their outstanding contributions to research.
A new “consensus game,” developed by MIT CSAIL researchers, elevates AI’s text comprehension and generation skills.
More than a decade since its launch, App Inventor recently hosted its 100 millionth project and registered its 20 millionth user. Now hosted by MIT, the app also supports experimenting with AI.
A new algorithm learns to squish, bend, or stretch a robot’s entire body to accomplish diverse tasks like avoiding obstacles or retrieving items.
MIT CSAIL and Project CETI researchers reveal complex communication patterns in sperm whales, deepening our understanding of animal language systems.
Researchers engineered a hair-thin fabric to create a lightweight, compact, and efficient mechanism to reduce noise transmission in a large room.
The conversation in Kresge Auditorium touched on the promise and perils of the rapidly evolving technology.
Associate Professor Jonathan Ragan-Kelley optimizes how computer graphics and images are processed for the hardware of today and tomorrow.
Undergraduates Ben Lou, Srinath Mahankali, and Kenta Suzuki, whose research explores math and physics, are honored for their academic excellence.
The former EECS professor and RLE affiliate helped to develop a machine that read text out loud and won an Emmy for work on subtly speeding up film and audio without a noticeable loss of pitch.
Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.