Showing News articles tagged with Intelligent systems
- Inspired by a hospital stay, a Tufts team creates a better and cheaper ultraviolet C light device for indoor spaces.
- Tyler Morris, EG21, and Graduate Dean of Engineering Karen Panetta utilized machine learning to help musicians record music cleanly, distinguishing between various instruments and identifying extraneous noises.
- PhD candidate Ab Mosca received a School of Engineering Outstanding Graduate Contributor to Engineering Education Award, and accepted a new teaching position at Northeastern University.
- Associate Professor Mark Hempstead and colleagues were nominated for the ISPASS 2021 Best Paper Award for their research on distributing deep learning recommendation models across multiple servers.
- 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.