Electrical engineering and computer science (EECS)

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.”

CNN visits the lab of Prof. Kevin Chen to learn more about his group’s work developing a bee-like robot that can flap its wings up to 400 times a second and flip and hover, and a grasshopper-inspired robot that can hop 20 centimeters into the air in terrains ranging from grass to ice. Chen and his colleagues hope the insect-inspired robots could one day help with tasks like artificial pollination or search and rescue operations. Insects have “evolved for millions of years. There’s a lot to be learned from insect motion, behavior and structure," Chen explains.

Prof. Marzyeh Ghassemi speaks with Boston Globe reporter Hiawatha Bray about her work uncovering issues with bias and trustworthiness in medical AI systems. “I love developing AI systems,” says Ghassemi. “I’m a professor at MIT for a reason. But it’s clear to me that naive deployments of these systems, that do not recognize the baggage that human data comes with, will lead to harm.”

Prof. Daniela Rus, director of CSAIL and “one of the world’s foremost thinkers on the intersection of machines and artificial intelligence,” shares her views on the promise of embodied intelligence, which would allow machines to adapt in real-time; the development of AI agents; and how the US can lead on the development of AI technologies with Aaron Mak of Politico. “The U.S. government has invested in energy grids, railroads and the internet. In the AI age, it must treat high-performance compute, data stewardship and model evaluation pipelines as public infrastructure as well,” Rus explains. 

Prof. Laura Lewis discusses her research exploring how the flow of cerebrospinal fluid (CSF) in your brain while you sleep can help eliminate “waste," like “excess proteins and other molecules that can be toxic, if not removed,” reports Lydia Denworth for Scientific American. “Lewis found that CSF also flows when people are awake but less effectively,” explains Denworth. “Lewis’s conclusion: sleep, a state that is essential for human health, has a distinct pattern of CSF flow—and that pattern changes as the stages of sleep shift.”