In an effort to defend medical devices against quantum attacks, MIT researchers have engineered an ultra-efficient microchip that can protect wireless biomedical devices, such as insulin pumps and pacemakers, reports Katie Hunt for CNN. The device, which is around the size of an extremely fine needle tip, “includes built-in protection needed for post-quantum cybersecurity. The device achieved between 20 and 60 times higher energy efficiency than other post-quantum security techniques.”
Prof. Asu Ozdaglar, head of EECS and deputy dean of academics for the MIT Schwarzman College of Computing, speaks with Kai Ryssdal of Marketplace about how MIT is preparing its students for the era of AI by teaching foundational skills that will enable them to find jobs in a variety of different sectors. The new Artificial Intelligence + Decision Making major (AI+D) teaches students about the “foundations of how to use this intelligence for enhancing human experience, human work, human education, all of those domains, so that no matter how the technology changes, these students can adapt their skills to the new set of tools and developments.”
Prof. Regina Barzilay speaks with WBUR’s Priyanka Dayal McCluskey about her work developing an AI risk detection tool that can analyze mammogram images and help predict risk of breast cancer before it happens or spreads. Barzilay, who describes the tool as a hi-tech weather forecast for breast health, notes that: “We really need to have tools that can help, rather than just staring at an image and trying to guess.”
Sybil, a new AI tool developed by researchers from MIT and Mass General Brigham Cancer Institute, “analyzes a single CT scan and generates a risk score predicting the likelihood of developing lung cancer over a period of up to six years,” reports Ivan Rodriguez for WCVB-TV. “In 2023, researchers reported that Sybil achieved an accuracy rate of 86% to 94% in distinguishing high-risk patients from low-risk patients within a year.”
Reporting for CNN, Caleb Hellerman spotlights how MIT computer scientists developed an AI program called Sybil that can “‘look’ at a single CT scan and generate a ‘risk score’ corresponding to the likelihood of the person developing cancer over any period up to six years.”
MIT researchers have developed a new traffic navigation system that more accurately reflects travel time by including parking data, reports Catherine Parotta for Boston 25. “What we can do is figure out if you’re best off trying this parking lot first, even if it’s farther than the closest parking lot,” explains Prof. Cathy Wu. Graduate student Cameron Hickert adds that: “We hope that this can help people make better decisions."
Researchers at MIT have developed an “AI-driven optimization method that works like ‘ChatGPT for spreadsheets’ – a tabular foundation model designed to handle spreadsheet-style data common in engineering design problems,” reports Gene Marks for Forbes. “The AI system identifies which design variables matter most and focuses search efforts on those, making problem solving less cumbersome,” writes Marks.
Researchers at MIT have developed a new 3D printing platform that can “produce a fully functioning linear motor in about three hours,” reports Justin Caffier for Gizmodo. The research team “explained how by retrofitting a printer with enough extruders to handle the various materials needed to make a working motor, they decimated the usual production time for such a device and brought the material costs down to around $0.50,” writes Caffier.
Graduate student Yi-Hsuan (Nemo) Hsiao and his colleagues have developed insect-sized robots to assist with artificial pollination as bee populations decline, reports Maria Simon Arboleas for Euractiv. “The tiny drones, lighter than a paperclip, can fly at speeds of up to two meters per second for more than 1,000 seconds, while performing complex maneuvers such as repeated backflips,” writes Arboleas.
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.