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 “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.
Prof. Karrie Karahalios has been named to Fast Company’s 2025 “AI 20” list for her work empowering individuals and communities to take a stand against algorithmic overreach, reports Mark Sullivan for Fast Company. “As we build these systems, and they seem to be permeating our society right now, one of my big goals is not to ignore human intuition and not to have people give up agency,” says Karahalios.
Prof. Caitlin Mueller has been named Innovator of the Year by Architectural Record for her work advancing a “vision for building design and construction that unites these disciplines with computation to create structure that are sustainable, high performing, and delightful,” reports Architectural Record. “Her group develops computational design and digital fabrication methods that integrate efficiency, performance, material circularity, and architectural expression,” Architectural Record notes. “This work spans robotic assembly of optimized trusses, fabrication of low-cost earthen and concrete systems, and algorithmic strategies for reusing salvaged wood and reassembled concrete parts.”
Prof. Daniela Rus, director of CSAIL, speaks with CBS News reporter Tony Dokoupil about her work developing AI-powered robots. “AI and robots are tools,” says Rus. “They are tools created by the people, for the people. And like any other tools they’re not inherently good or bad; they are what we choose to do with them. And I believe we can choose to do extraordinary things.”
Researchers at MIT have developed a new tool, called Meschers, that allows users to create detailed computer representations of mathematically impossible objects, reports Gayoung Lee for Gizmodo. “In addition to creating aesthetically quirky objects,” Lee explains, “Meschers could eventually assist in research across geometry, thermodynamics, and even art and architecture."
Researchers at MIT have uncovered a variety of obstacles of AI in software development, reports Rob Wile for NBC News. They have found “the main obstacles come when AI programs are asked to develop code at scale, or with more complex logic,” writes Wile.
Researchers at MIT have developed “a new imaging technique that could allow quality control robots in warehouses to peer into closed boxes,” reports Chris Young for Interesting Engineering. “Using this new technology, robots could peer into a cardboard shipping box and see that the handle of a mug is broken, for example,” explains Young. “This new method could revolutionize warehouse quality control and streamline the shipping and delivery process.”
Forbes contributor Tanya Fileva spotlights how MIT CSAIL researchers have developed a system called Air-Guardian, an “AI-enabled copilot that monitors a pilot’s gaze and intervenes when their attention is lacking.” Fileva notes that “in tests, the system ‘reduced the risk level of flights and increased the success rate of navigating to target points’—demonstrating how AI copilots can enhance safety by assisting with real-time decision-making.”