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.
Five MIT faculty elected to the National Academy of Sciences for 2024
Guoping Feng, Piotr Indyk, Daniel Kleitman, Daniela Rus, Senthil Todadri, and nine alumni are recognized by their peers for their outstanding contributions to research.
Four from MIT named 2024 Knight-Hennessy Scholars
The fellowship funds graduate studies at Stanford University.
Three from MIT named 2024-25 Goldwater Scholars
Undergraduates Ben Lou, Srinath Mahankali, and Kenta Suzuki, whose research explores math and physics, are honored for their academic excellence.
Three from MIT awarded 2024 Guggenheim Fellowships
MIT professors Roger Levy, Tracy Slatyer, and Martin Wainwright appointed to the 2024 class of “trail-blazing fellows.”
Seven from MIT elected to American Academy of Arts and Sciences for 2024
The prestigious honor society announces more than 250 new members.
Study demonstrates efficacy of MIT-led Brave Behind Bars program
Programming course for incarcerated people boosts digital literacy and self-efficacy, highlighting potential for reduced recidivism.
Improving drug development with a vast map of the immune system
Immunai’s founders were researchers at MIT when they launched their company to help predict how patients will respond to new treatments.
QS World University Rankings rates MIT No. 1 in 11 subjects for 2024
The Institute also ranks second in five subject areas.
Four-peat: MIT students take first place in the 84th Putnam Math Competition
MIT undergraduates win top five spots for the fourth year in a row and capture the Elizabeth Lowell Putnam Prize.
Dealing with the limitations of our noisy world
Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.
Gosha Geogdzhayev and Sadhana Lolla named 2024 Gates Cambridge Scholars
The MIT seniors will pursue graduate studies at Cambridge University.
Automated method helps researchers quantify uncertainty in their predictions
An easy-to-use technique could assist everyone from economists to sports analysts.
Technique could efficiently solve partial differential equations for numerous applications
MIT researchers propose “PEDS” method for developing models of complex physical systems in mechanics, optics, thermal transport, fluid dynamics, physical chemistry, climate, and more.