Electrical engineering and computer science (EECS)

Prof. Laura Lewis and her colleagues have discovered that momentary lapses in attention that often follow a bad night’s sleep are caused by the brain attempting to flush fluid out of its system, a process that normally occurs during sleep, reports Carissa Wong for New Scientist. “If you don’t have these waves [of fluid flowing] at night because you’re kept awake all night, then your brain starts to kind of sneak them in during the daytime, but they come with this cost of attention,” says Lewis. 

Researchers at MIT have found that momentary lapses in attention, often described as zoning out, coincide with waves of fluid flowing out of the brain, reports Ian Sample for The Guardian. “The moment somebody’s attention fails is the moment this wave of fluid starts to pulse,” says Prof. Laura Lewis. “It’s not just that your neurons aren’t paying attention to the world, there’s this big change in fluid in the brain at the same time.”

Prof. Srini Devadas speaks with Fortune reporter Beatrice Nolan about data and privacy concerns surrounding AI assistants. “The challenge is that if you want the AI assistant to be useful, you need to give it access to your data and your privileges, and if attackers can trick the AI assistant, it is as if you were tricked,” says Devadas. 

Prof. Laura Lewis speaks with Quanta Magazine reporter Yasemin Saplakoglu about her quest to better understand how the brain transitions to sleep. “Our brains can really rapidly transform us from being aware of our environments to being unconscious, or even experiencing things that aren’t there,” said Lewis. “This raises deeply fascinating questions about our human experience.”

Prof. Steve Leeb and graduate student Daniel Monagle speak with Tech Briefs reporter Edward Brown about their work “designing an energy management interface between an energy harvesting source and a sensor load that will give the best possible results.” Monagle notes that in the future they hope to make the system “smaller so that it can fit in tight places like inside a motor terminal box. But beyond that we want to take advantage of AI tools to design techniques for minimizing the energy used by the system.” 

In an effort to better understand how protein language models (PLMs) think and better judge their reliability, MIT researchers applied a tool called sparse autoencoders, which can be used to make large language models more interpretable. The findings “may help scientists better understand how PLMs come to certain conclusions and increase researchers’ trust in them," writes Andrea Luis for The Scientist. 

Researchers at MIT have developed magnetic transistors, “which could enable faster and more energy-efficient semiconductors,” reports Alex Knapp for Forbes. “Researchers have been trying to use magnets this way for years, but the materials used so far haven’t been optimal for computing functions,” explains Knapp. “That changed after experimenting with chromium sulfur bromide, which replaces the silicon in a conventional microchip and enables the transistors to be switched on and off with an electric current.” 

Financial Times reporter Melissa Heikkilä spotlights how MIT researchers have uncovered evidence that increased use of AI tools by medical professionals risks “leading to worse health outcomes for women and ethnic minorities.” One study found that numerous AI models “recommended a much lower level of care for female patients,” writes Heikkilä. “A separate study by the MIT team showed that OpenAI’s GPT-4 and other models also displayed answers that had less compassion towards Black and Asian people seeking support for mental health problems.” 

Forbes reporter Geri Stengel spotlights Black Opal Ventures, a women-led venture capital investment firm, founded by Tara Bishop '97 and Eileen Tanghal '97. “Whenever you see venture capital and tech, there are very few women,” says Tanghal. “It’s been my passion to bring more women into the venture capital ecosystem.”

Dishita Turakhia SM '17, SMArchS '17, PhD '24 speaks with Huffpost reporter Brittany Wong to explore how people are using AI technologies. “Early adopters may help expand the creative boundaries of these technologies, but those who enter later, sometimes with more caution, often bring a critical lens that leads to more sustainable applications,” says Turakhia. 

Edwin Chen '08 speaks with Forbes reporter Pheobe Liu about his journey to founding Surge AI, a startup that “helps tech companies get the high-quality data they need to improve their AI models.” 

Prof. Anant Agarwal speaks with Fortune reporter Nino Paoli about the benefits of a four-year college degree. “In this environment, learning deeply and building real expertise is more important than ever because the AI roles and applications are in the context of these other fields,” says Agarwal. “Degrees also future-proof your career by preparing you for the next big technology, whatever it might be.”

Forbes reporter Martina Castellanos spotlights Edwin Chen '08, founder of Surge AI, as one of the 10 youngest billionaires on the 2025 Forbes 400 list. After working in machine learning, Chen saw “the lack of quality training data for AI,” and “launched Surge AI in 2020 to fix the problem,” writes Castellanos. 

Prof. Andrew Lo speaks with Wall Street Journal reporter Cheryl Winokur Munk about how AI tools could be used to help people with financial planning. Winokur Munk writes that Lo recommends providing “just enough information to get relevant answers. And leave out highly personal details like your name, address, salary, employer or specific assets…as such details put people at risk should the AI be compromised.” Lo also advises “trying several AI platforms,” writes Winokur Munk. And “the advice should be run by a professional, trusted family or friends. Be a bit skeptical and double-check with humans.”

MIT Dean of Digital Learning Cynthia Breazeal SM ’93, ScD ’00, Profs. Regina Barzilay and Priya Donti, and a number of MIT alumni have been named to Time’s TIME 100 AI 2025 list. The list spotlights “innovators, leaders, and thinkers reshaping our world through groundbreaking advances in artificial intelligence.”