Are video deepfakes powerful enough to influence political discourse?
An expert in AI video generation discusses the technology’s rapid advances—and its current limitations.
How artificial intelligence is powering the fusion revolution
At the Laboratory for Laser Energetics, University of Rochester scientists harness AI to bring fusion research into sharper focus.
How to design autonomous machines that are more reliable and less costly
An international team of computer scientists has developed a new method to reduce cost-safety tradeoffs.
Bit by megabit
The Department of Computer Science at Rochester marks 50 years of revolutionary progress.
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.
First-year students help NASA study the total solar eclipse
Rochester has one of about 30 teams nationwide taking observations for the Citizen CATE 2024 experiment.
Machine learning boosts search for new materials
Rochester scientists have developed deep-learning models that can sift through the massive amounts of data generated by X-ray diffraction techniques.
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.
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.