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.
Eight real-world industry challenges fuel teams’ competitive spirit and impressive results.
Looking back on the year that was: Highlights from the Computer Science and Artificial Intelligence Lab in 2015.
Half of the communication connections established by the top 500 Android apps have no effect on user experience.
Automated energy analytics platform collects data on commercial buildings to improve energy efficiency.
Algorithm may be applied to a broad range of complicated problems.
Eye-tracking research reveals which types of visuals actually get the message across.
Censio’s data analytics on driving behavior helps users improve safety and lower insurance rates.
Timely vehicle recall by German automaker would avoid some 130 early deaths, researchers say.
Sensors that track inhaler use aim to keep asthma patients healthy, cut health care costs.
MIT spinout Neumitra brings an innovative approach to quantifying, understanding, and managing stress.
System that replaces human intuition with algorithms outperforms 615 of 906 human teams.
Enterprise survey tool now available to the MIT community lets you collect and analyze survey data via a web browser or mobile app.
The Information Protection @ MIT website provides access to policies, resources, and guides for safeguarding sensitive data at the Institute.
Urban planning professor will advise on smart cities.