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.
Researchers found that the structure and composition of materials can dramatically increase how often fusion happens at low energies. With a better understanding of the mechanism behind that effect, we may eventually be able to design materials that improve neutron sources or other fusion-based technologies.
A new study from UC Davis materials science and engineering researchers shows how combining AI with laboratory experiments could speed up the development of more durable, stable materials, ultimately leading to reliable, low-cost solar energy technologies.
Concrete, the second-most-used material in the world, after water, requires significant resources for its production. A study in the journal Nature Sustainability from UC Davis researchers shows that global concrete production requires far more resources than previously estimated.
