Student Program for Innovation in Science and Engineering is a launching pad toward possibility
Gifted Caribbean high schoolers become SPISE alumni at MIT, and many go on to advanced academic and professional careers.
Gifted Caribbean high schoolers become SPISE alumni at MIT, and many go on to advanced academic and professional careers.
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
The startup NALA, which began as an MIT class project, directly matches art buyers with artists.
Professor who develops technologies to push the envelope of what is possible with photonics and electronic devices succeeds Joel Voldman.
With a new design, the bug-sized bot was able to fly 100 times longer than prior versions.
The advance holds the promise to reduce error-correction resource overhead.
Inspired by the human vocal tract, a new AI model can produce and understand vocal imitations of everyday sounds. The method could help build new sonic interfaces for entertainment and education.
The Thermochromorph printmaking technique developed by CSAIL researchers allows images to transition into each other through changes in temperature.
Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.
Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.
Biodiversity researchers tested vision systems on how well they could retrieve relevant nature images. More advanced models performed well on simple queries but struggled with more research-specific prompts.
Five MIT faculty and staff, along with 19 additional alumni, are honored for electrical engineering and computer science advances.
The neuroscientist turned entrepreneur will focus on advancing the intersection of behavioral science and AI across MIT.
With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly.