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.
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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.
Report urges MIT community to openly share the products of its research and teaching.
Edelman's Julia programming language was recognized for solving large computational problems for high-performance computers.
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.
Model could recreate video from motion-blurred images and “corner cameras,” may someday retrieve 3D data from 2D medical images.
Six scholars and professors are spending this academic year in engagement with the MIT community.
New technique stretches out MRI scans of placentas so they can be more accurately analyzed, and shows the potential of MRI for pregnancy monitoring.
Algorithm enables one audio signal to glide into another, recreating the “portamento” effect of some musical instruments.
Brain and cognitive sciences professor studies how the human mind is able to learn so rapidly.
Study offers models for preserving the privacy of citizens while using their data to improve government services.
Commercial cloud service providers give artificial intelligence computing at MIT a boost.
CSAIL system uses a patient's ECG signal to estimate potential for cardiovascular death.
Computer Science and Artificial Intelligence Laboratory team creates new reprogrammable ink that lets objects change colors using light.