MIT Schwarzman College of Computing

A study by MIT researchers examining the carbon emissions of self-driving cars found that “the power required to run one billion driverless vehicles driving for one hour per day could consume as much energy as all existing data centers in the world,” reports Claire Brown for The New York Times. Graduate student Soumya Sudhakar explains that another big unknown is how autonomous vehicles could change the way people travel, adding to the uncertainty over the overall long-term emissions outlook for self-driving cars. 

MIT is “taking a quantum leap with the launch of the new MIT Quantum Initiative (QMIT), reports State House News reporter Katie Castellani. “There isn't a more important technological field right now than quantum with its enormous potential for impact on both fundamental research and practical problems,” said President Sally Kornbluth during the launch event. “QMIT will help us to ask the right questions, identify the most critical problems and create a roadmap for developing quantum solutions that are both transformative and accessible.” 

Fox Business host Stuart Varney spotlights MIT’s new Artificial Intelligence and Decision Making (AI+D) major, which has quickly become, “the second most popular undergrad major at MIT.” 

Prof. Kevin Chen and his colleagues have designed a tiny, insect-sized aerial microrobot that is “faster and more acrobatic than any of its predecessors,” reports Phie Jacobs for Science. The device, “which measures just 4 centimeters across and weighs less than a paperclip, flies almost five times faster and accelerates twice as quickly as existing microrobots,” explains Jacobs. “It can also execute sharp turns while enduring 160-centimeter-per-second wind gusts and—perhaps most impressively—can complete 10 consecutive somersaults in 11 seconds.” 

New York Times reporter Natasha Singer spotlights MIT’s new Artificial Intelligence and Decision Making major (AI+D), which is aimed at teaching students to “develop AI systems and study how technologies like robots interact with humans and the environment.” Asu Ozdaglar, head of EECS and the deputy dean of academics for the Schwarzman College of Computing, shares that: “Students who prefer to work with data to address problems find themselves more drawn to an AI major.” 

Prof. Tess Smidt and incoming Prof. Lindsey Raymond have been named Schmidt Sciences 2025 AI2050 Early Career Fellows, 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.