Department of Computer Science

BachDuet, developed by University of Rochester researchers, allows users to improvise duets with an artificial intelligence partner.

The world’s largest multidisciplinary scientific society has recognized Nicholas Bigelow and Michael Scott for their distinguished efforts to advance science.

Rochester computer scientist Ehsan Hoque and his colleagues have harnessed machine learning to accurately identify signs of the neurological disease by analyzing facial muscles.

University of Rochester researchers have developed SOPHIE, a virtual ‘patient’ that trains doctors in explaining end-of-life options.

Information gleaned from thousands of Twitter users lets the researchers gauge public opinion toward #StopAsianHate and #StopAAPIHate.

University of Rochester researchers have received the National Science Foundation’s most prestigious award for early-career faculty.

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.

James Allen, professor in the Department of Computer Science, is being recognized for his “broad contributions to artificial intelligence and natural language understanding.”

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.”

Using sand, marbles, and mathematical modeling, Rochester researchers from across departments worked to improve the accuracy of data collected from the surfaces of asteroids.