MIT Schwarzman College of Computing

Prof. Kevin Chen and his colleagues have developed a bee-like robot that can assist with farming practices, such as artificial pollination without damaging crops, reports Claire Turrell for Offrange. “Chen’s robot bee, which is tethered to a power source, is currently limited to flying between plastic flowers in the lab, but the robot engineer can see its potential,” explains Turrell. “Bees are doing great in terms of open-field farming,” says Chen. “But there is one potential type of pollination I think we can consider in the longer term, which is indoor farming,” 

Forbes reporter Craig Smith spotlights Prof. Regina Barzilay for her work using her personal health experience to develop transformative medical technology. In response to her breast cancer diagnosis, Barzilay “developed a deep learning model that analyzes mammography images to predict breast cancer risk up to five years in advance,” writes Smith. 

Prof. Armando Solar-Lezama and Prof. Daniela Rus, director of CSAIL, speak with CNBC reporter Trevor Laurence Jockims about the impact of AI in the workforce. “These transitions are about efficiency, but also about trust and transparency: workers will need to trust that companies aren’t simply using AI as a cover for cost-cutting,” says Rus. 

Prof. Jonathan How and graduate student Yi-Hsuan (Nemo) Hsiao speak with Tech Briefs reporter Andrew Corselli about their latest work developing an aerial microrobot that is “agile enough complete 10 consecutive somersaults in 11 seconds, even when wind disturbances threatened to push it off course.” Hsiao explains that: “This work demonstrates that soft and microrobots, traditionally limited in speed, can now leverage advanced control algorithms to achieve agility approaching that of natural insects and larger robots, opening up new opportunities for multimodal locomotion.” 

In a roundup of the biggest tech breakthroughs of 2025, Forbes reporter Alex Knapp spotlights how MIT engineers developed magnetic transistors, a “discovery [that] could enable faster and more energy-efficient semiconductors.”

Researchers at MIT have “found a way to transform a flat sheet into a functional 3D object with a single pull of a string,” reports Luis Prada for Vice. “The team developed a computational method that lets users design three-dimensional objects that can be fabricated as flat grids and then deployed almost instantly with a single tug,” explains Prada. 

Researchers at MIT have developed a new type of material that can transform into a 3D structure with the simple pull of a string, reports Gayoung Lee for Gizmodo. The new material could “have an impressive range of applications, from transportable medical devices and foldable robots to modular space habitats on Mars,” Lee explains. 

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.