Algorithm may improve brain-controlled prostheses and exoskeletons
An improved method for magnet tracking enables high-speed wireless tracking through various materials.
An improved method for magnet tracking enables high-speed wireless tracking through various materials.
New tool highlights what generative models leave out when reconstructing a scene.
Finding could help overturn the prevailing notion that men and women experience angina differently.
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.
Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including inspection.
Modeling web traffic could aid cybersecurity, computing infrastructure design, Internet policy, and more.
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
Drones can fly at high speeds to a destination while keeping safe “backup” plans if things go awry.
Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.
Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.
New research reveals biases in fake news datasets and improves the use of automatic detectors.
An algorithm speeds up the planning process robots use to adjust their grip on objects, for picking and sorting, or tool use.