Mapping regulatory elements
Systematically searching DNA for regulatory elements indicates limits of previous thinking.
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Systematically searching DNA for regulatory elements indicates limits of previous thinking.
Professor emeritus was a co-founder of CSAIL and a founding member of the Media Lab.
Motion-planning algorithms allow drones to do donuts, figure-eights in object-filled environments.
A daily art project conceived by MIT student Benjamin Chan welcomes students, faculty, staff, and visitors to the Stata Center.
Students, researchers, and alumni honored in the 2016 Forbes 30 Under 30 lists showcasing America’s most important young entrepreneurs, thinkers, and leaders.
In a step toward personalized drug testing, researchers coax human stem cells to form complex tissues.
App that rates drivers’ behavior yields promising safety results on the road.
“3-D physics engine” from the Computer Science and Artificial Intelligence Laboratory simulates the human brain to infer physical properties.
Algorithms could learn to recognize objects from a few examples, not millions; may better model human cognition.
Software analyzes online chatter to predict health care consumers’ behavior.
Future versions of an algorithm from the Computer Science and Artificial Intelligence Lab could help with teaching, marketing, and memory improvement.
Robots, 3-D printers, and a surprise guest aim to get students excited about computer science.
Looking back on the year that was: Highlights from the Computer Science and Artificial Intelligence Lab in 2015.
New untraceable text-messaging system comes with statistical guarantees.