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Computer Science and Artificial Intelligence Laboratory (CSAIL)
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Teaching machines to predict the future
Deep-learning vision system from the Computer Science and Artificial Intelligence Lab anticipates human interactions using videos of TV shows.
Analog computing returns
New analog compiler could help enable simulation of whole organs and even organisms.
Parallel programming made easy
New chip design makes parallel programs run many times faster and requires one-tenth the code.
Eye-tracking system uses ordinary cellphone camera
Crowd-sourced data yields system that determines where mobile-device users are looking.
Artificial intelligence produces realistic sounds that fool humans
Video-trained system from MIT’s Computer Science and Artificial Intelligence Lab could help robots understand how objects interact with the world.
A method to image black holes
New algorithm could stitch together astronomical measurements made across the globe.
“Super Mario Brothers” is hard
Analysis shows popular video game is among the hardest problems in the “complexity class” PSPACE.
Julie Shah, Sandy Alexandre receive campus houseteam appointments
Shah named head of house after serving as Sidney Pacific associate housemaster; Alexandre joins East Campus as associate head of house.
Automatic bug finder
System could make complex analysis practical for programs that import huge swaths of code.
Regina Barzilay named Delta Electronics Professor
Leader in human language technologies has been appointed the Delta Electronics Professor of Electrical Engineering and Computer Science.
We know where you live
From location data alone, even low-tech snoopers can identify Twitter users’ homes, workplaces.
Ingestible origami robot
Robot unfolds from ingestible capsule, removes button battery stuck to wall of simulated stomach.