Doctors, patients, algorithms, and avatars
Clinicians, computer scientists, and ethicists are working across the University to incorporate reliable and ethical AI into medical diagnosis and treatment.
Who is more polarized about AI—the tech community or the general public?
An analysis of nearly 34,000 comments on Reddit provides new insights about perceptions of AI after ChatGPT’s launch.
Audio deepfake detective developing new sleuthing techniques
A National Institute of Justice fellowship allows Rochester graduate student You “Neil” Zhang to develop novel defenses against deepfake scams.
Human brain’s ‘temporal scaffolding’ inspires new AI approaches
Applying a recent hypothesis about how the brain operates during sleep could improve the lifelong learning abilities of artificial intelligence.
AI helps bring clarity to LASIK patients facing cataract surgery
Scientists develop computer models of patients’ eyes to identify the ideal intraocular lenses and visual simulators for patients to experience how they will see with them.
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.