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.
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.
“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 found a simple solution for extending the lifespans of LEDs made from glowing microscopic particles called quantum dots.
A recent Reunion activity, taught by EECS Senior Lecturer Gim Hom, doubled as both his “last class” and a chance to reconnect with classmates.
Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.
A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.
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.
Care in the midst of pressure
Anantha P. Chandrakasan is “Committed to Caring” for redefining mentorship through presence and perspective.