Electrical engineering and computer science (EECS)

AI copilot enhances human precision for safer aviation

Imagine you're in an airplane with two pilots, one human and one computer. Both have their “hands” on the controllers, but they're always looking out for different things. If they're both paying attention to the same thing, the human gets to steer. But if the human gets distracted or misses something, the computer quickly takes over. Meet the Air-Guardian, a…

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Five MIT faculty members named 2023 Simons Investigators

Five MIT professors have been selected to receive the 2023 Simons Investigators awards from the Simons Foundation. Virginia Vassilevska Williams and Vinod Vaikuntanathan are both professors in MIT’s Department of Electrical Engineering and Computer Science (EECS) and principal investigators in MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). Aram Harrow and Leonid Mirny are professors in the Department of Physics,…

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Multi-AI collaboration helps reasoning and factual accuracy in large language models

An age-old adage, often introduced to us during our formative years, is designed to nudge us beyond our self-centered, nascent minds: "Two heads are better than one." This proverb encourages collaborative thinking and highlights the potency of shared intellect. Fast forward to 2023, and we find that this wisdom holds true even in the realm of artificial intelligence: Multiple language…

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How an archeological approach can help leverage biased data in AI to improve medicine

The classic computer science adage “garbage in, garbage out” lacks nuance when it comes to understanding biased medical data, argue computer science and bioethics professors from MIT, Johns Hopkins University, and the Alan Turing Institute in a new opinion piece published in a recent edition of the New England Journal of Medicine (NEJM). The rising popularity of artificial intelligence has…

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New model offers a way to speed up drug discovery

Huge libraries of drug compounds may hold potential treatments for a variety of diseases, such as cancer or heart disease. Ideally, scientists would like to experimentally test each of these compounds against all possible targets, but doing that kind of screen is prohibitively time-consuming. In recent years, researchers have begun using computational methods to screen those libraries in hopes of…

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