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.
Wired for research
Biomedical engineering student Sophea Urbi Biswas explores how the brain processes speech syntax—and discovers the benefits of conducting research as an undergraduate.
Study of headlines shows media bias is growing
A team from the Department of Computer Science used machine learning to analyze publications across the political spectrum.
Scientists edge toward scalable quantum simulations on a photonic chip
A system using photonics-based synthetic dimensions could be used to help explain complex natural phenomena.
AI helps show how the brain’s fluids flow
A new, AI-based technique for measuring fluid flow in the brain could lead to treatments for diseases such as Alzheimer’s.
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.
Undergraduate student submissions sweep Art of Science awards
The annual competition highlights the intersection of science, art, and technology as part of the Rochester experience.