Parallel programming made easy
New chip design makes parallel programs run many times faster and requires one-tenth the code.
New chip design makes parallel programs run many times faster and requires one-tenth the code.
Crowd-sourced data yields system that determines where mobile-device users are looking.
Video-trained system from MIT’s Computer Science and Artificial Intelligence Lab could help robots understand how objects interact with the world.
New algorithm could stitch together astronomical measurements made across the globe.
Analysis shows popular video game is among the hardest problems in the “complexity class” PSPACE.
System could make complex analysis practical for programs that import huge swaths of code.
Leader in human language technologies has been appointed the Delta Electronics Professor of Electrical Engineering and Computer Science.
From location data alone, even low-tech snoopers can identify Twitter users’ homes, workplaces.
Robot unfolds from ingestible capsule, removes button battery stuck to wall of simulated stomach.
Study identifies new gene variants that may be targets for treating arrhythmia.
“Duckietown” class at Computer Science and Artificial Intelligence Lab teaches autonomy, aims to become global research platform.
Virtual artificial intelligence analyst developed by the Computer Science and Artificial Intelligence Lab and PatternEx reduces false positives by factor of 5.
New debugging method found 23 undetected security flaws in 50 popular Web applications.