Producing better guides for medical-image analysis
Model quickly generates brain scan templates that represent a given patient population.
Model quickly generates brain scan templates that represent a given patient population.
With “In Event of Moon Disaster,” the MIT Center for Advanced Virtuality aims to educate the public on deepfakes with an alternative history of the moon landing.
As automation rises in the workplace, speakers explore ways to train students and reskill workers.
Using deductive reasoning, the bot identifies friend or foe to ensure victory over humans in certain online games.
To help the region catch up, students organize summit to bring Latin policymakers and researchers to MIT.
System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?
New tool highlights what generative models leave out when reconstructing a scene.
Materials Day speaker Brian Storey describes how the Toyota Research Institute is embracing machine learning to advance the use of electric vehicles.
Finding could help overturn the prevailing notion that men and women experience angina differently.
The ability to predict and make new materials faster highlights the need for safety, reliability, and accurate data.
Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
Navigation method may speed up autonomous last-mile delivery.
An artificial intelligence model developed at MIT shows in striking detail what makes some images stick in our minds.
MIT AgeLab research engineer directs a team that studies in-vehicle automation, robotics, AI, and the mechanics of driver attention, among other topics.