Computer Science and Artificial Intelligence Laboratory (CSAIL)
The mathematics of taste
By using ‘genetic programming’ to crossbreed algorithms, researchers help flavor companies figure out what their customers like.
The faster-than-fast Fourier transform
For a large range of practically useful cases, MIT researchers find a way to increase the speed of one of the most important algorithms in the information sciences.
The quantifier
By helping biologists turn their hunches into rigorous mathematical models, Polina Golland builds software that interprets medical images.
Self-aware computing project named a 'world changing' idea by Scientific American
Project Angstrom selected by magazine's editors; featured in December issue
Putting the ‘art’ in artificial intelligence
CSAIL associate professor develops AI systems that can interpret images.
Kellis wins Niki Award
CSAIL principal investigator honored for contributions to science and technology.
Streamlining chip design
Designers of mobile devices need to think hard about which functions to implement in hardware and which in software. A new programming language makes that much easier.
Peh named ACM Distinguished Scientist
CSAIL principal investigator receives Association for Computing Machinery honor.
Oliva explores new ground in computational perception at CSAIL
Neuroscientist looks forward to collaborative studies of visual perception in the brain and its computational applications.
