Computer Science and Artificial Intelligence Laboratory (CSAIL)
Machines that learn better
May 18, 2010New math will make it much easier to build machine-learning systems that tackle a wider range of problems.
When good enough is better
May 13, 2010By exploiting a simple but counterintuitive trick, a new system finds sections of computer programs where accuracy can be traded for speed.
In Profile: Missy Cummings
April 5, 2010Former U.S. Naval fighter pilot aims to improve how humans and computers interact.
Explained: Linear and nonlinear systems
February 26, 2010Much scientific research across a range of disciplines tries to find linear approximations of nonlinear behaviors. But what does that mean?
Putting the squeeze on data
December 21, 2009In work that could make it easier to handle huge data sets, MIT researchers improve data compression's fidelity without sacrificing speed
Rethinking artificial intelligence
December 7, 2009Broad-based MIT project aims to reinvent AI for a new era. By going back and fixing mistakes, researchers hope to produce ‘co-processors’ for the human mind.
Flight of fancy
December 3, 2009Using an autonomous mini-helicopter, an MIT team stunned the Association for Unmanned Vehicles International by solving one of its notoriously tough challenges on the first try.
MIT joins Northrop Grumman’s new cybersecurity research consortium
December 1, 2009Will address nation’s most pressing cyber threats
Cryptographic voting debuts
November 13, 2009A new system for ensuring accurate election tallies, which MIT researchers helped to develop, passed its first real-world test last Tuesday.
Detailed explanation of how the voting encryption system works
November 13, 2009
When Signals Cross: Medical Systems at CSAIL
November 10, 2009Professor John Guttag and his team of graduate students are working in partnership with clinicians to produce technological solutions for medical problems.
Reporter's Notebook: Inventing language
November 9, 2009MIT’s Barbara Liskov, winner of the Turing Award, describes how she helped lay the foundations for today’s programming languages.
What computer science can teach economics
November 8, 2009Constantinos Daskalakis applies the theory of computational complexity to game theory, with consequences in a range of disciplines.