Enabling human-robot rescue teams
System could help prevent robots from overwhelming human teammates with information.
System could help prevent robots from overwhelming human teammates with information.
Constantinos Daskalakis adapts techniques from theoretical computer science to game theory.
Low-power chip processes 3-D camera data, could enable wearable device to guide the visually impaired.
Automatic bug-repair system fixes 10 times as many errors as its predecessors.
System for handling massive digital datasets could make impossibly complex problems solvable.
Motion-planning algorithms allow drones to do donuts, figure-eights in object-filled environments.
Model that predicts time from gate departure to takeoff could cut airport congestion, fuel waste.
“3-D physics engine” from the Computer Science and Artificial Intelligence Laboratory simulates the human brain to infer physical properties.
Algorithms could learn to recognize objects from a few examples, not millions; may better model human cognition.
Future versions of an algorithm from the Computer Science and Artificial Intelligence Lab could help with teaching, marketing, and memory improvement.
Robots, 3-D printers, and a surprise guest aim to get students excited about computer science.
Instrument scans images 2,000 times faster than commercial models.
Google experiments suggest that the D-Wave computer exploits quantum phenomena.
Looking back on the year that was: Highlights from the Computer Science and Artificial Intelligence Lab in 2015.