The associate professor of computer science is among just five researchers from across the nation to have received the award in support of foundational AI research. Huang aims to give AI agents a way to adapt mid-workflow and prove their plans are safe before acting.
Two M.D./Ph.D. students with a biomedical engineering focus have been awarded grants from the California Initiative to Advance Precision Medicine. The grants support leading-edge research aimed at improving patient care and advancing health equity.
Through a collaboration with Germany’s Max Planck Institute, UC Davis Ph.D. student Toulik Maitra is developing computational tools to accelerate the design of organic semiconductors that could help advance flexible electronics and more efficient OLED displays.
In a new study published in Nature Communications, UC Davis researchers detail an infrared sensor that excels above freezing temperatures. The sensor combines a membrane-based design and radio frequencies to increase performance, detecting signals as low as 740 picowatts in room temperature environments.
Development engineers and a biomedical engineering graduate student from the University of California, Davis, were part of a study granting scientists a rare glimpse into how the human brain navigates space. This research could be the foundation of future treatments for debilitating conditions like dementia.
Led by the UC Davis Department of Computer Science, the AI for Health Initiative will connect researchers and clinicians across disciplines to advance responsible AI use in medicine, support student training and strengthen partnerships with UC Davis Health.
UC Davis researcher Rich Whittle joined an international team aboard a parabolic flight to study how microgravity affects blood flow to protect astronauts during long-duration space missions.
UC Davis engineers Isaac Kim and Mingwei Zhang were among the recipients of the inaugural awards granted through the U.S. Department of Energy’s Genesis Mission — a national program leveraging artificial intelligence to accelerate breakthroughs in energy, discovery science and national security.
UC Davis students in Cyclone RoboSub are taking their autonomous underwater vehicle beyond the pool, using it to support environmental research in open waters and to educate the next generation of robotics engineers.
Research led by a UC Davis Ph.D. student shows that AI models can maintain response quality while using far less energy on existing hardware. The work received the Best Paper Award at MLSys 2026, a leading machine learning and AI systems conference.
