
Online AI-based test for Parkinson’s disease severity shows promising results
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.

Could artificial intelligence power the future of fusion?
Rochester scientists will develop machine learning to help predict, design, and improve laser-fusion implosions for inertial fusion energy.

Large language models could be the catalyst for a new era of chemistry
Chemical engineer Andrew D. White explains why large language models like GPT-4 will open new frontiers for researchers.

How will AI chatbots like ChatGPT affect higher education?
University administrators and faculty weigh in on the pros and cons of the newest online learning tool.

Lab experience your first year in college? Yes.
With faculty and graduate student mentorship, undergraduate researchers thrive in the Rochester Human-Computer Interaction lab.

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.

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.

‘Filtering the patterns that matter to us’
Epistemologist Jens Kipper has joined the University’s Department of Philosophy, bringing with him a focus on the nature of intelligence that spans the fields of philosophy, computer science, and artificial intelligence.

A picture is worth 1000 words, but how many emotions?
During a political campaign voters will often share their views through pictures posted on social media. A human could recognize one as being a positive portrait of the candidate and the other one negative. Professor Jiebo Luo and his collaborators are training computers to make the same assessments.