Generative AI tool helps 3D print personal items that sustain daily use
Generative artificial intelligence models have left such an indelible impact on digital content creation that it’s getting harder to recall what the internet was like before it. You can call on these AI tools for clever projects such as videos and photos — but their...
Decoding the Arctic to predict winter weather
Every autumn, as the Northern Hemisphere moves toward winter, Judah Cohen starts to piece together a complex atmospheric puzzle. Cohen, a research scientist in MIT’s Department of Civil and Environmental Engineering (CEE), has spent decades studying how conditions in...
MIT scientists investigate memorization risk in the age of clinical AI
What is patient privacy for? The Hippocratic Oath, thought to be one of the earliest and most widely known medical ethics texts in the world, reads: “Whatever I see or hear in the lives of my patients, whether in connection with my professional practice or not, which...
Stone Center on Inequality and Shaping the Future of Work Launches at MIT
The James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work officially launched on Nov. 3, 2025, bringing together scholars, policymakers, and practitioners to explore critical questions about economic opportunity, technology, and democracy....
Using design to interpret the past and envision the future
Some of designer C Jacob Payne’s projects present new, futuristic products — such as zero-gravity footwear for astronauts, and electronic-embedded ceramics — using technological tools and processes of digital fabrication, material innovation, and interactive...
MIT in the media: 2025 in review
“At MIT, innovation ranges from awe-inspiring technology to down-to-Earth creativity,” noted Chronicle, during a campus visit this year for an episode of the program. In 2025, MIT researchers made headlines across print publications, podcasts, and video platforms for...
Guided learning lets “untrainable” neural networks realize their potential
Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call...
Guided learning lets “untrainable” neural networks realize their potential
Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call...
A “scientific sandbox” lets researchers explore the evolution of vision systems
Why did humans evolve the eyes we have today? While scientists can’t go back in time to study the environmental pressures that shaped the evolution of the diverse vision systems that exist in nature, a new computational framework developed by MIT researchers allows...
A new way to increase the capabilities of large language models
Most languages use word position and sentence structure to extract meaning. For example, “The cat sat on the box,” is not the same as “The box was on the cat.” Over a long text, like a financial document or a novel, the syntax of these words likely evolves. ...