Prof. Tess Smidt has been named a Schmidt Sciences 2025 AI2050 Early Career Fellow, reports Michael T. Nietzel for Forbes. The AI2050 project is “aimed at advancing the capacity of artificial intelligence to tackle an evolving list of 10 ‘hard problems,’ involving major scientific questions, technical issues, and risks associated with revolutionary technology,” explains Nietzel.
Graduate student Chung-Tao (Josh) Chou speaks with Tech Briefs reporter Andrew Corselli about his work developing a magnetic transistor that could lead to more energy-efficient circuits. “People have known about magnets for thousands of years, but there are very limited ways to incorporate magnetism into electronics,” says Chou. “We have shown a new way to efficiently utilize magnetism that opens up a lot of possibilities for future applications and research.”
Researchers at MIT have developed a new method that can predict how plasma will behave in a tokamak reactor given a set of initial conditions, reports Gayoung Lee for Gizmodo. The findings “may have lowered one of the major barriers to achieving large-scale nuclear fusion,” explains Lee.
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.”
According to the U.S. News & World Report rankings for 2025-2026, MIT has been named the No. 2 best university in the United States, reports Madison Lucchesi for Boston.com.
MIT has been named the second best university in the United States, according to the U.S. News and World Report rankings for 2025-2026, reports Alan Blinder for The New York Times.
U.S. News & World Report has named MIT the number two best university in the United States for 2025-2026, reports Emily Sweeney for The Boston Globe. The rankings “evaluated more than 1,700 colleges and universities in the United States, using up to 17 measures of academic quality and graduate success,” adds Sweeney.
MIT has been named the number two college in the United States in U.S. News & World Report’s annual ranking, reports Alia Shoaib for Newsweek. “U.S. News & World Report ranks more than 1,700 colleges using a weighted formula that considers factors such as graduation and retention rates, faculty resources, academic reputation, financial resources and student selectivity,” explains Shoaib.
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.”
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.
Boston Globe reporter Jon Chesto spotlights the kickoff event for the new MIT-GE Vernova Energy and Climate Alliance, which will “fund research initiatives, fellowships, and other programs with an eye toward improving energy technologies and decarbonization.” GE Vernova CEO Scott Strazik emphasized that he has been impressed with the passion and talent for clean-tech among the students at MIT and other universities. “I started these discussions with the objective that we should inspire future leaders to come into our industry and ideally come to our company,” Strazik said. “They’ve probably inspired us more than we’ve inspired them.”
Prof. Regina Barzilay speaks with Newsweek reporter Katherine Fung about the how hospitals around the world around increasingly adopting new technologies. “Countries with a centralized healthcare system, or centralized healthcare records, can do a much better job because they have so much data and so much ability to monitor what AI tools are doing," says Barzilay.
Boston Globe reporter Yogev Toby spotlights the Middle East Entrepreneurs of Tomorrow program (MEET), an MIT initiative that brings together Israeli and Palestinian high school students to provide education in “computer science and innovation while promoting intercultural dialogue.” The program was designed to serve as a way to “bridge the social, economic, and ideological divide through innovation and entrepreneurship,” Toby explains. “The idea is to create connection and understanding through shared professional interests, dialogue, and teamwork.”