Showing News articles tagged with Intelligent systems
- 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.
- Joshua Rapp, E14, parleyed his interests in music and electrical engineering into a career studying computational imaging.
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.
- Software developed at Tufts has been successful at identifying COVID-19 pneumonia in more than 99 percent of the X-ray images it processes.
- 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.
- Four Tufts University computer science majors were recognized for research excellence by the Computing Research Association (CRA).
- Senior Jordan Lueck, Associate Professor Jason Rife, and collaborators received a best of conference award for their paper on sensor-aided simulation.