With the profusion of data being generated by us and our devices, distributed learning offers a new way of analyzing data while preserving more privacy, says Associate Professor Usman Khan.
In his new computer science course, Associate Teaching Professor Marty Allen challenges students to ponder the bigger and messier questions raised by technology.
On the 100th anniversary of the Band-Aid, Professor Sameer Sonkusale and the Nano Lab are working to make smart bandages that actively monitor and deliver precisely targeted treatments to chronic wounds.
Associate Professor Mark Hempstead and colleagues proposed a new near-memory hardware/software solution that could provide significant memory energy savings.
Karen Panetta, Dean of Graduate Engineering, spoke with The New York Times on how A.I. and machine learning systems can be used to prevent equipment breakdowns at airports.
Professor Matthias Scheutz and PhD candidate Vasanth Sarathy's proposal to work with machines to solve mankind’s seemingly intractable problems is the focus of a winning entry in the NSF Idea Machine Competition.