Helping machines perceive some laws of physics
Model registers “surprise” when objects in a scene do something unexpected, which could be used to build smarter AI.
Producing better guides for medical-image analysis
Model quickly generates brain scan templates that represent a given patient population.
MIT conference focuses on preparing workers for the era of artificial intelligence
As automation rises in the workplace, speakers explore ways to train students and reskill workers.
How to design and control robots with stretchy, flexible bodies
Optimizing soft robots to perform specific tasks is a huge computational problem, but a new model can help.
Bot can beat humans in multiplayer hidden-role games
Using deductive reasoning, the bot identifies friend or foe to ensure victory over humans in certain online games.
Students push to speed up artificial intelligence adoption in Latin America
To help the region catch up, students organize summit to bring Latin policymakers and researchers to MIT.
Algorithm may improve brain-controlled prostheses and exoskeletons
An improved method for magnet tracking enables high-speed wireless tracking through various materials.
Visualizing an AI model’s blind spots
New tool highlights what generative models leave out when reconstructing a scene.
Machine learning shows no difference in angina symptoms between men and women
Finding could help overturn the prevailing notion that men and women experience angina differently.
Autonomous system improves environmental sampling at sea
Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.
Better autonomous “reasoning” at tricky intersections
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
Technique helps robots find the front door
Navigation method may speed up autonomous last-mile delivery.
What makes an image memorable? Ask a computer
An artificial intelligence model developed at MIT shows in striking detail what makes some images stick in our minds.
Self-transforming robot blocks jump, spin, flip, and identify each other
Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including inspection.
Helping autonomous vehicles see around corners
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.