Prof. Ryan Williams speaks with New Scientist reporter Matthew Sparkes about his finding concerning the relationship between the amount of memory a computation requires and how long it takes, a discovery that has “wowed computer scientists.” Says Williams of the discovery: “It kind of shakes my world view. I’m still just shocked that it even exists.”
MIT researchers have developed a technique to use a damage suppressing protein called “Dsup” to help protect cancer patients from the side effects of radiation therapy, writes Shane Galvin for The New York Post. “Scientists, encouraged by this remarkable discovery, believe they can create an upgraded version of Dsup which can be used to radiation-proof human cells without any unwanted drawbacks,” writes Galvin. “They also believe that the protein could be used by astronauts to prevent space-related radiation [damage].”
Researchers at MIT and elsewhere have found that a protein developed by tardigrades could be used to help protect cancer patients from the side effects of radiation therapy, reports Ed Cara for Gizmodo. “The findings could someday lead to an invaluable add-on treatment for many cancer patients,” writes Cara. He adds that the new technique “could even possibly be used to protect astronauts from space-related radiation or to protect cancer patients from other sources of treatment-induced DNA damage, such as chemotherapy drugs.”
Dezeen reporter Rima Sabina Aouf spotlights how MIT researchers have created a “thin and flexible fiber computer and woven it into clothes, suggesting a potential alternative to current wearable electronics.” Prof. Yoek Fink explains: "In the not-too-distant future, fiber computers will allow us to run apps and get valuable health care and safety services from simple everyday apparel.” He adds: "The convergence of classical fibers and fabrics with computation and machine learning has only begun.”
According to a new study co-authored by researchers at MIT, harnessing the damage suppressor protein found in tardigrades, a microscopic organism known for its resilience, could help ease the impacts of radiation therapy on cancer patients. “The Dsup protein, which binds directly to DNA and reduces radiation-induced strand breaks, immediately struck us as a promising tool to mitigate normal tissue injury during radiotherapy,” Prof. Giovanni Traverso explains to Corinna Singleman of Genetic Engineering & Biotechnology News.
Mohamed Elrefaie speaks with Automotive World reporter Will Girling about his work developing an open-source dataset of 8,000 car designs, including their aerodynamic characteristics, which could be used to develop novel car designs in a more efficient manner. “If an automaker wants to reduce drag and improve performance, it can guide the GenAI model to produce those specific designs,” Elrefaie explains. “The standard development cycle for a design using legacy tools can take anywhere from three to five years, as it requires collaboration between many specialized departments. With AI, you could validate up to 600 designs in just one or two minutes.”
MIT engineers have manufactured a programmable computer fiber that can be woven into clothing and used to help monitor the wearer’s vital signs, reports Jennifer Ouellette for Ars Technica. “The long-term objective is incorporating fiber computers into apparel that can sense and respond to changes in the surrounding environment and individual physiology,” Ouellette notes.
New Scientist reporter Alex Wilkins spotlights how MIT researchers have created a “computer that can be stitched into clothes, made from chips that are connected in a thread of copper and elastic fiber.” U.S. Army and Navy members will be testing the use of the fiber computer to help monitor health conditions and prevent injury during a monthlong mission to the Arctic. Prof. Yoel Fink explains: “We’re getting very close to a point where we could write apps for fabrics and begin to monitor our health and do all kinds of things that a phone, frankly, cannot do.”
Writing for Forbes, Paula Schneider, CEO of Susan G. Komen, highlights Prof. Regina Barzilay’s research using AI to detect breast cancer. “Using her own mammograms in her research at MIT, Dr. Barzilay demonstrated how AI could have detected her breast cancer much earlier, potentially improving her prognosis,” writes Schneider. “Studies show that incorporating AI into mammogram analysis boosts cancer detection rates by 20%, without increasing false positives. This is a significant leap forward, as early detection is key to a better chance at positive outcomes and survival.”
After suffering a concussion during her sophomore year, senior Emiko Pope, a mechanical engineering major and midfielder on the MIT women's soccer team, was inspired to study the effectiveness of concussion headbands, reports Cathy Cecere for Mechanical Engineering Magazine. “After collecting data simulating concussions and testing multiple concussion headbands, my data revealed that certain concussion headbands can reduce the force of direct impact by up to 80 percent,” says Pope.
Research Assistants Maisy Lam and Laura Dodds speak with Tech Briefs reporter Andrew Corselli about their work developing MiFly, a new approach that “enables a drone to self-localize, or determine its position, in indoor, dark, and low-visibility environments.” Dodds explains: “Our high-level idea was we can place a millimeter wave sensor on the drone, and it can localize itself with respect to a sticker that we place on the wall, a millimeter wave tag. This would allow us to provide a localization system in these challenging environments with minimal infrastructure.”
Researchers at MIT have developed a new chip-based system capable of improving “how terahertz (THz) waves pass through silicon chips,” reports Rupendra Brahambhatt for Interesting Engineering. The researchers “applied a principle called matching, which involves reducing the difference between silicon (dielectric constant is 11) and air (dielectric constant is 1) so that more waves can travel through,” writes Brahambhatt.
Varun Mohan '17, SM '17 and Douglas Chen '17 co-founded Codeium, an AI-powered coding startup designed to help users write code in a faster and more efficient manner, reports Marina Temkin for TechCrunch. “Codeium tries to distinguish itself from competitors by targeting companies rather than individual developers,” writes Temkin.
Prof. Sarah Millholland, Prof. Christian Wolf, Prof. Emil Verner, Prof. Darcy McRose, Prof. Marzyeh Ghassemi, Prof. Mohsen Ghaffari and Prof. Ariel Furst have received the 2025 Sloan Research Fellowship for “being among the most promising scientific researchers currently working in their fields,” reports Michael T. Nietzel for Forbes. “Sloan Research Fellows are chosen in seven scientific and technical fields—chemistry, computer science, Earth system science, economics, mathematics, neuroscience, and physics,” explains Nietzel.
Tye Brady SM '99 speaks with Fortune reporter John Kell about his career in robotic development and the role of generative AI in future advancements. “We’re using generative AI in just about everything that we’re doing inside of robotics,” says Brady.