
How brain-inspired analog systems could make drones more efficient
Electrical and computer engineers want to mimic the brain’s visual system to create AI tools for guiding autonomous systems.

Can Amazon Alexa or Google Home help detect Parkinson’s?
A quick, speech-based AI tool offers a new way to screen for a key indicator of the neurodegenerative disease.

How educators can help students navigate misinformation
When misinformation often travels faster than facts, teaching young people to discern credible sources has never been more urgent.

New method to study catalysts could lead to better batteries
A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen on the surface of materials.

How AI is transforming business, education, and the future of work
Rochester faculty discuss the impact of artificial intelligence on education and how harnessing AI is essential for future-proofing the workforce.

Text-to-video AI blossoms with new metamorphic video capabilities
Using time-lapse videos as training data, computer scientists have developed video generators that simulate the physical world more accurately.

Breathing life-saving services into rural communities
Professor Benjamín Castañeda ’09 (PhD) leads a global effort to meet critical needs for medical technology.

How artificial general intelligence could learn like a human
Computer scientist Christopher Kanan discusses AI, large language models, and the responsible use of artificial general intelligence.

University joins Empire AI Consortium to advance research and collaboration
Rochester brings expertise in artificial intelligence and cognitive science, machine learning, and high-performance computing to the consortium.

Amanda Stent ’01: Guiding the future of AI in industry and academia
The Head of AI Strategy & Research in the Office of the CTO at Bloomberg reflects on the state of artificial intelligence.