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.
Department
Electrical Engineering and Computer Science
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
Research update: Sharpening the lines
New advance could lead to even smaller features in the constant quest for more compact, faster microchips.
Trillion-frame-per-second video
By using optical equipment in a totally unexpected way, MIT researchers have created an imaging system that makes light look slow.
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.
David Staelin, longtime professor in EECS and RLE, dies at 73
Researcher led a career distinguished by abundant accomplishments, widespread impact in his 55 years at MIT.
CSAIL robots take center stage
Computer Science and Artificial Intelligence Laboratory Principal Investigator Daniela Rus collaborated with modern dance company Pilobolus this past year to bring flying robots to the stage.
New algorithm could substantially speed up MRI scans
Faster scans could reduce the time patients spend in the machine from 45 to 15 minutes.
Charging toward better neural implants
Researchers improve the efficiency of devices that stimulate damaged nerves, reducing potential side effects.
Harnessing the Earth, the atom and the leaf
There are many sources that can make a contribution to our energy supply, but likely not at a major scale in the near future.
Shining brightly
Vast amounts of solar energy radiate to the Earth constantly, but tapping that energy cost-effectively remains a challenge.
Connecting neurons to fix the brain
New technology helps scientists discover drugs to strengthen synapses.