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.
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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.
Senior James Simon wants to effect change in two ways: by quantifying societal issues and working directly with disadvantaged communities.
At MIT’s Festival of Learning 2024, panelists stressed the importance of developing critical thinking skills while leveraging technologies like generative AI.
An expert in robotics and AI, Shah succeeds Steven Barrett at AeroAstro.
MIT professors Roger Levy, Tracy Slatyer, and Martin Wainwright appointed to the 2024 class of “trail-blazing fellows.”
Fellowship funds graduate studies for outstanding immigrants and children of immigrants.
The MIT-led projects will investigate novel high-performance designs, materials, processes, and assessment methods for an environmentally sustainable microchip industry.
Programming course for incarcerated people boosts digital literacy and self-efficacy, highlighting potential for reduced recidivism.
The grants fund studies of clean hydrogen production, fetal health-sensing fabric, basalt architecture, and shark-based ocean monitoring.
MIT researchers find circadian variations in liver function play an important role in how drugs are broken down in the body.
The advance offers a way to characterize a fundamental resource needed for quantum computing.
For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.
Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.