Tag: Department of Computer Science
Performance under pressure at NASA’s Lunabotics competition
Rochester undergraduate students banded together to overcome multiple crises while fielding their robot on a simulated lunar surface at Kennedy Space Center.
Play a Bach duet with an AI counterpoint
BachDuet, developed by University of Rochester researchers, allows users to improvise duets with an artificial intelligence partner.
Two Rochester researchers named AAAS fellows
The world’s largest multidisciplinary scientific society has recognized Nicholas Bigelow and Michael Scott for their distinguished efforts to advance science.
Software uses selfies to detect early symptoms of Parkinson’s disease
Rochester computer scientist Ehsan Hoque and his colleagues have harnessed machine learning to accurately identify signs of the neurological disease by analyzing facial muscles.
A new way to prepare doctors for difficult conversations
University of Rochester researchers have developed SOPHIE, a virtual ‘patient’ that trains doctors in explaining end-of-life options.
To drill down on anti-Asian hate crimes, Rochester researchers harness social media
Information gleaned from thousands of Twitter users lets the researchers gauge public opinion toward #StopAsianHate and #StopAAPIHate.
Rochester’s latest CAREER award recipients pursue wide range of projects
This year, five University of Rochester researchers have received the National Science Foundation’s most prestigious award for early-career faculty.
Can social networks help us be more creative?
Our interactions on social media could encourage new ways of thinking and different perspectives, if creativity was considered part of the network’s algorithms, say Rochester researchers.
Computer scientist James Allen named AAAS fellow
James Allen, professor in the Department of Computer Science, is being recognized for his “broad contributions to artificial intelligence and natural language understanding.”
Study: Twitter mirrors our attitudes and feelings about COVID-19
Themes of anxiety, depression, and fear of shortages emerge as Rochester researchers continue to mine social media as a reflection of the United States “in the moment.”