Helping AI models to meet the real world
Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.
AI agents create virtual playgrounds to help robots get crucial training data
“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.
New method aims to keep kids safe from illegal AI-generated content
Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.
Tiny robot boats build floating structures
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.
Bringing the data to every sideline
PhD candidate Henry Wang works with FIFA and other organizations to advance the way sports are played, analyzed, and refereed.
Toward a future that preserves benefits of neurotechnology for all
PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.
Q&A: What is agentic AI today, and what do we want it to be?
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.
Inaugural Music Technology Research Showcase celebrates work of new graduate program’s initial students
Associate Professor Anna Huang delivers the keynote address, “In Search of Human-AI Resonance,” to a capacity crowd.
LLMs help robots understand vague instructions and focus on key details
To help robots do chores in places like homes and factories, a new approach from MIT uses one language model to clarify users’ instructions, then another to ignore irrelevant info.
MIT in the media: Exploring how curiosity-driven science is an essential ingredient in America’s success
“Scientific American” showcases the history and future of America’s scientific engine, highlighting promising young scientists and icons at MIT and beyond.
Summer 2026 recommended reading from MIT
Enjoy these recent titles from Institute faculty and staff.
Improving the speed and energy-efficiency of AI agents
A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.
Exploring the societal impacts of AI
During the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy.
New chip could help tiny robots traverse complex environments
Researchers combined an efficient algorithm with dedicated hardware to rapidly generate 3D maps for navigation using minimal memory and power.
QS ranks MIT the world’s No. 1 university for 2026-27
Ranking at the top for the 15th year in a row, the Institute also places first in 12 subject areas.