AI-based method could speed development of specialized nanoparticles
Neural network could expedite complex physics simulations.
Neural network could expedite complex physics simulations.
Activity simulator could eventually teach robots tasks like making coffee or setting the table.
Algorithm computes “buffer zones” around autonomous vehicles and reassess them on the fly.
With new system, drones navigate through an empty room, avoiding crashes while “seeing” a virtual world.
MIT Statistics and Data Science Conference highlights new approaches and varied applications.
Today’s autonomous vehicles require hand-labeled 3-D maps, but CSAIL’s MapLite system enables navigation with just GPS and sensors.
Harini Suresh, a PhD student at MIT CSAIL, studies how to make machine learning algorithms more understandable and less biased.
“RoadTracer” system from the Computer Science and Artificial Intelligence Laboratory could reduce workload for developers of apps like Google Maps.
MIT hosts a summit on transformative artificial intelligence technologies in biomedical sciences and health care.
At the MIT-IBM Watson AI Lab, researchers are training computers to recognize dynamic events.
Electrodes on the face and jaw pick up otherwise undetectable neuromuscular signals triggered by internal verbalizations.
Machine-learning system uses physics principles to augment data from NASA crowdsourcing project.
Made of silicone rubber, CSAIL’s “SoFi” could enable a closer study of aquatic life.
Daniel Sperling of the University of California at Davis discusses the major transformations in store for mobility.
Alumni’s video-capturing drone tracks moving subjects while freely navigating any environment.