Tag: 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.

NSF grant supports project leveraging AI for music production
An interdisciplinary team of researchers is using artificial intelligence to empower musicians to produce and disseminate their art more effectively.

At-home sensors can spot Parkinson’s during sleep
A device that passively monitors breathing during sleep not only detects Parkinson’s, but also tracks the disease’s progression over time.

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.