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.
A computational program trained on U.S. meal records identified simple food substitutions that improve nutritional quality and lower costs, according to a new study led by UC Davis computer scientists.
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.
Members of Aggie Sports Analytics and AggieWorks aren’t just learning to code — they are creating tools to better their campus community, whether it’s tracking UC Davis athlete performance or connecting students seeking roommates, carpools and classes.
How does Disney make ghosts appear in the Haunted Mansion? That question launched Meriyah Deleon Haro into electrical engineering at UC Davis. Now she's building a career at the intersection of robotics, AI and theme park design.
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.
