Photonic chips could give drones a lift when GPS is unavailable
Rochester researchers aim to leverage the quantum technique of weak value amplification to replace the gyroscopes in drones.
Quantum dots: Chemistry professor explains a Nobel Prize–winning discovery
The fruits of the recent Nobel laureates’ labor can be seen not only in high-end monitors and screens, but also in collaborative research across the sciences.
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.
Scientists take another step in the quest to combat antibiotic resistance
A team uncovers a surprising twist in the ways bacteria spread antibiotic-resistant genes.
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.
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.