“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.

Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.

MIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water.

A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.

The professor of physics and inaugural director of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions will lead LNS and continue his research in particle physics.

PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.

During a "Washington Post Live" panel discussion with ASU President Michael Crow, President Sally Kornbluth explored how universities are preparing the next generation of scientists to lead in America’s rapidly changing technological landscape.

Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.

In a new Keller Gallery exhibition, Alexandros Haridis SM ’17, PhD ’22 traces centuries of ideas about aesthetic judgment and explores how design can make complex computational systems visible.

A faculty member since 1999, Autor is a leading researcher in artificial intelligence and the work of the future.

A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.

During the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy.

Researchers combined an efficient algorithm with dedicated hardware to rapidly generate 3D maps for navigation using minimal memory and power.

MIT researchers’ approach captures subtle atomic patterns, improving predictions of material properties.

Researchers show that for certain kinds of games, an overlooked class of algorithms performs much better than expected.

A new spatial memory system for robots efficiently captures details about the objects they see while exploring their environment.

An expert in behavioral science and transportation, Zhao combines these studies with AI and public policy to address some of the most urgent challenges facing cities.

MIT researchers provide a major upgrade to the nearly century-old idea of random utility models.

Founded by two researchers from MIT, Ferveret reduces the amount of energy and water required to cool the chips that power AI.

Media Lab study shows that, much like how GPS has weakened our navigation skills, AI can make us worse at detecting fake news.

The MIT Ethics of Computing Research Symposium brought together experts and researchers working at the heart of ethical and social impact in technology.

MIT RAISE and Georgia State University announce an initiative to connect universities, community colleges, industry, and government to expand industry-aligned AI training and career pathways.

IAIFI enters its second phase with increased funding, broader ambitions, and a growing community at the frontier of AI and fundamental physics.