Clinicians and engineers at the University of California, Davis, are collaborating on AI-driven tools to analyze vast digital archives of brain tissue scans — work that cannot be done at scale by humans alone — to better understand dementia and improve diagnosis and treatment.
What if you could talk Shakespeare’s Macbeth out of violence? A new UC Davis-developed game lets players do just that, using AI to simulate dialogue and teach real-world conflict de-escalation skills through interactive storytelling rooted in some of the greatest dramas in the English language.
Premkumar Devanbu has been elected a Foreign Member of the Academia Europaea for his extensive record of award-winning and influential contributions and long-term collaboration with European institutions. His research focuses on the impact of large language models on software development.
Climate models generate billions of data points, and traditional analysis methods can't keep up. UC Davis Ph.D. student Yuya Kawakami developed ClimateSOM, an interactive visualization tool that helps scientists explore thousands of climate futures and uncover patterns that current methods can miss.
The Minnesota marshes Matthew Maciosek explored as a child are threatened by agricultural groundwater use. Now a UC Davis biological systems engineering student, he's researching sustainable irrigation practices in California's Central Valley to help protect wetlands for future generations.
Electrical and computer engineers at UC Davis have theoretically demonstrated a thermophotovoltaic system, a renewable energy method whereby heat is turned into electricity, that can achieve a power conversion efficiency rate of 50%, more than double that of commercially available solar cells.
In 2016, Aggie Engineers set the stage with a groundbreaking paper on the methodical implementation of deep convolutional neural networks. Now, one of the world’s largest international conferences on silicon semiconductor research, ASP-DAC, is recognizing the paper as the most influential article published over the last decade.
What if a smartphone could see what the human eye misses? A new UC Davis-designed app uses machine learning to track subtle hand movements during stroke rehabilitation, giving clinicians more specific data to assess recovery and tailor patient care.
by Hope Muñoz, Center for Information Technology Research in the Interest of Society and the Banatao Institute, and College of Engineering Communications
Associate Professor of Mechanical and Aerospace Engineering Zhaodan Kong has earned a CITRIS-CDSS Innovation Fellowship to pilot FireFly, an AI-powered sensor and drone system designed to detect wildfires at their earliest stages.
A recent study led by electrical and computer engineers at UC Davis, and reported in Advanced Photonics, has demonstrated that the power of a spectrometer can be replicated on a microscopic chip. This innovation paves the way for next-generation medical diagnostics and agricultural and environmental remote sensing.
