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.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Predicting people's driving personalities
System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?
PhD student Marc Aidinoff explores how technology impacts public policy
Historian's research focuses on understanding how visions for social and economic policy are tied to changing ideas about technology.
Visualizing an AI model’s blind spots
New tool highlights what generative models leave out when reconstructing a scene.
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.
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.
Pushy robots learn the fundamentals of object manipulation
Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.
Deep learning with point clouds
Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.
Open access task force releases final recommendations
Report urges MIT community to openly share the products of its research and teaching.
Alan Edelman recognized with 2019 IEEE Computer Society Sidney Fernbach Award
Edelman's Julia programming language was recognized for solving large computational problems for high-performance computers.
Better fact-checking for fake news
New research reveals biases in fake news datasets and improves the use of automatic detectors.
Giving robots a faster grasp
An algorithm speeds up the planning process robots use to adjust their grip on objects, for picking and sorting, or tool use.