A manufacturing renaissance for America?
At an MIT forum, experts examine new ways to pursue a good old idea: making things.
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A grand unified theory of AI
A new approach unites two prevailing but often opposed strains in the history of artificial-intelligence research.
Web sites that can take a punch
By preventing web applications from deviating from their normal behavior, a new MIT system can keep them online even during a cyberattack.
Learn 'How to Speak'
Professor Patrick Winston shares tips from his legendary IAP talk, "How to Speak."
Explained: Linear and nonlinear systems
Much scientific research across a range of disciplines tries to find linear approximations of nonlinear behaviors. But what does that mean?
Sketch-interpreting software
A new system that lets people enter data into a tablet computer simply by drawing diagrams on the screen could lead to interactive whiteboards.
Celebrating MIT's excellent staff
Fifteen individuals and four teams to be honored at 2010 MIT Excellence Awards
Rethinking networking
MIT researchers helped develop a theory that promised much more efficient data networks; then they were the first to put it into practice.
Nonlinear thinker
With techniques for translating complicated equations into ‘sums of squares,’ Pablo Parrilo helps make sense of previously insoluble problems.
At Davos, MIT faculty discuss the nature of intelligence
Videos available of professors' presentations at World Economic Forum
Picture-driven computing
New research could enable computer programming based on screen shots, not just code
Putting the squeeze on data
In work that could make it easier to handle huge data sets, MIT researchers improve data compression's fidelity without sacrificing speed
Five from MIT named 2010 IEEE Fellows
Three EECS faculty members, Hu, Rus and Sudan, and two research staff members of the MIT Lincoln Laboratory, Reynolds and Stokes, are elevated to Fellow status of the IEEE effective Jan. 1
Rethinking artificial intelligence
Broad-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.