Computer Science and Artificial Intelligence Laboratory (CSAIL)
Robert Morris wins 2010 Mark Weiser Award
ACM SIGOPS award recognizes ‘creativity and innovation’ in operating-systems research.
Faster websites, more reliable data
Web servers that store data locally save time on database searches but sometimes serve up obsolete results. A new system solves that problem.
Why telecom regulation needs to change
Research suggests that the approach that worked with a few large companies with aligned interests needs revisiting in the Internet age.
First improvement of fundamental algorithm in 10 years
The max-flow problem, which is ubiquitous in network analysis, scheduling, and logistics, can now be solved more efficiently than ever.
3 Questions: Nicholas Roy on deploying drones in U.S. skies
MIT robotics expert discusses the logistical hurdles of regulating unmanned aircraft for civilian use.
A plane that lands like a bird
An innovative control system allows a foam glider to touch down on a perch or a wire like a pet parakeet.
Broadband picture may not be so bleak
A new study disputes the claim that Internet data rates in the U.S. are only half as high as advertised; study’s authors call for better data.
Computer automatically deciphers ancient language
A new system that took a couple hours to decipher much of the ancient language Ugaritic could help improve online translation software.
Toward the Semantic Web
A new standard from the World Wide Web Consortium brings the Web a step closer to realizing the vision of its inventor, Tim Berners-Lee.
How the brain recognizes objects
A new computational model sheds light on the workings of the human visual system and could help advance artificial-intelligence research, too.
Gesture-based computing on the cheap
With a single piece of inexpensive hardware — a multicolored glove — MIT researchers are making Minority Report-style interfaces more accessible.
Rivest wins faculty’s Killian Award
MIT encryption pioneer recognized for ‘extraordinary’ contributions in computer science
Machines that learn better
New math will make it much easier to build machine-learning systems that tackle a wider range of problems.