Detecting consumer decisions within messy data
Software analyzes online chatter to predict health care consumers’ behavior.
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.
Google experiments suggest that the D-Wave computer exploits quantum phenomena.
MIT professor’s startup makes synthesizing genes many times more cost effective.
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.
Developed in collaboration with the MIT Media Lab and Tufts University, the PBS KIDS ScratchJr app helps children ages 5-8 learn coding concepts.
Algorithms exploiting light’s polarization boost resolution of commercial depth sensors 1,000-fold.
Mathematical modeling enables $100 depth sensor to approximate the measurements of a $100,000 piece of lab equipment.
The MIT High Performance Research Computing Facility powers MIT research behind the scenes.
Half of the communication connections established by the top 500 Android apps have no effect on user experience.
Rising Stars workshop helps female electrical engineers and computer scientists build a professional network, find jobs in academia.
Algorithm may be applied to a broad range of complicated problems.