First-party releases and research from MIT News · AI. Headlines and excerpts link to the original articles.
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
MIT researchers Brian Hedden and Manish Raghavan systematically evaluated objections to algorithmic monoculture and argue many either fail or are not decisive, while mathematically proving monoculture tends to create informational echo chambers that hinder exploration. Their paper appears in Philosophical Perspectives.
Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.
MIT engineers have found a way to stabilize the lipid nanoparticles used to deliver RNA vaccines, which could allow the vaccines to be more widely distributed.
MIT's PKG Center for Social Impact ran its second Code.Tulsa summer program, placing 10 undergraduates with the Muscogee and Cherokee nations and local nonprofits. A student-founded STEM camp, TASC, selected 25 campers from 10 tribes out of 160 applications.
MIT McGovern Institute researchers developed a language-processing tool that uses a custom lexicon tied to 49 suicide risk factors to estimate suicide risk from text conversations with crisis counselors. Reported in the Journal of Psychopathology and Clinical Science, it accurately predicted risk in about 16,000 de-identified Crisis Text Line conversations and may aid assessment with more validation.
In their new book, “How AI Sees the City,” the leaders of MIT’s Senseable City Lab examine the technology’s implications for researching urban life.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
Patricia and James Poitras have given MIT $10 million to fund 50 two-year fellowships through the Poitras Center for Psychiatric Disorders Research at the McGovern Institute, with five fellowships awarded annually for a decade. Five researchers were named to the inaugural cohort.
A new focus on fiction and memoir aims to help the MIT community celebrate the power of storytelling and strengthen social connection.
MIT and collaborating researchers developed xvr, an AI technique that matches intraoperative 2D X-rays with a patient's preoperative 3D CT or MRI scan in seconds with sub-millimeter precision. A paper on the method appears in Nature.
Naoki Egami has become a standout in political methodology, helping refine tools that give scholars durable results.
Atlas Building Composites is commercializing MIT research to turn plastic waste into parts for buildings and other infrastructure.
MIT researchers developed HardFlow, a deployment-time algorithm that lets pretrained generative models satisfy hard safety, physical, or task-specific constraints in their final output while still producing high-quality solutions, without retraining. The research appears in the IEEE Transactions on Pattern Analysis and Machine Intelligence.
The handheld catheterization device AI-GUIDE, created by Lincoln Laboratory and Massachusetts General Hospital, promises improved health outcomes for injured service members and civilians.
A weeklong summer workshop brought higher education faculty to campus to explore how AI and machine learning materials can be adapted for their classrooms.
A MIT News feature profiles three IBM researchers—Srinivasan Arunachalam, Zhang-Wei Hong PhD ’25, and Irene Ko PhD ’24—who credit the MIT-IBM Computing Research Lab with helping translate theoretical work into industry applications in quantum machine learning, reinforcement learning, and trustworthy AI.
MIT and Motional researchers developed the Concept-Wrapper Network (CW-Net), a method that translates a self-driving car's deep learning decisions into understandable concepts without altering driving performance. In private-track tests and simulation studies, CW-Net explanations helped safety drivers and nonexpert users better predict vehicle behavior. The research appears in Nature.
The senior lecturer, already director of the degree program, will now oversee all aspects of the center’s activities and operations.