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Friday, June 20, 2025

Anantha P. Chandrakasan, chief innovation and strategy officer and dean of the School of Engineering who is head of the consortium, kicks off afternoon MIT Generative AI Impact Consortium (MGAIC) presentations (Credits: Jiin Kang).

CSAIL article

Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event

Launched in February of this year, the MIT Generative AI Impact Consortium (MGAIC), a presidential initiative led by MIT’s Office of Innovation and Strategy and administered by the MIT Stephen A. Schwarzman College of Computing, issued a call for proposals, inviting researchers from across MIT to submit ideas for innovative projects studying high-impact uses of generative AI models.

Tuesday, June 17, 2025

MIT researchers discovered the underlying cause of position bias, a phenomenon that causes large language models to overemphasize the beginning or end of a document or conversation, while neglecting the middle (Credits: MIT News; iStock).

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Unpacking the bias of large language models

Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document or conversation, while neglecting the middle.

Monday, June 9, 2025

Essay winner Annaliese Meyer (middle, holding trophy) stands with (left to right) Nikos Trichakis, interim associate dean of SERC and associate professor of operations management; Caspar Hare, associate dean of SERC and professor of philosophy; MIT president Sally Kornbluth; Dan Huttenlocher, dean of the MIT Schwarzman College of Computing; and Asu Ozdaglar, deputy dean of academics for the MIT Schwarzman College of Computing and head of the Department of EECS (Credits: Eric Fletcher).

CSAIL article

Envisioning a future where health care tech leaves some behind

Will the perfect storm of potentially life-changing, artificial intelligence-driven health care and the desire to increase profits through subscription models alienate vulnerable patients?

Friday, June 6, 2025

MIT researchers developed a computationally efficient method that could enable artists to design realistic simulations of elastic objects, like bouncy or squishy characters, for animated movies or video games (Credits: Courtesy of the researchers).

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Animation technique simulates the motion of squishy objects

Animators could create more realistic bouncy, stretchy, and squishy characters for movies and video games thanks to a new simulation method developed by researchers at MIT.