Department of Computer Science

Rochester has one of about 30 teams nationwide taking observations for the Citizen CATE 2024 experiment.

Rochester scientists have developed deep-learning models that can sift through the massive amounts of data generated by X-ray diffraction techniques.

Applying a recent hypothesis about how the brain operates during sleep could improve the lifelong learning abilities of artificial intelligence.

Researchers from the Hajim School and the Medical Center have developed a test for Parkinson’s disease severity that relies on 10 taps of the finger, with results available in minutes.

Rochester scientists will develop machine learning to help predict, design, and improve laser-fusion implosions for inertial fusion energy.

A team from the Department of Computer Science used machine learning to analyze publications across the political spectrum.

Four Rochester scientists have received prestigious NSF CAREER awards, presented to early-career faculty members for research and education initiatives.

University administrators and faculty weigh in on the pros and cons of the newest online learning tool.

With faculty and graduate student mentorship, undergraduate researchers thrive in the Rochester Human-Computer Interaction lab.

The University’s Goergen Institute for Data Science supports collaborative projects across all disciplines.