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.
From limited STEM access to finding her footing through mentorship, mechanical engineering student Lianne R. de Leon reflects on being a woman in engineering and how programs like LEADR helped transform early uncertainty into confidence, community and a sense of reaffirming her dreams.
Professor of Teaching Jason White is reimagining a chemical engineering course to create a classroom that is welcoming and accessible for neurodivergent learners. Discover how he is using Universal Design for Learning to make engineering education inclusive for all.
The EPiC project is rethinking where biomanufacturing can happen, from remote deserts to space. With plant-based “mini factories,” 3D-printed handheld bioreactors and innovative training, the team is building a more sustainable future for making food, medicine and more.
What if your next STEM teacher were an AI agent in virtual reality? UC Davis computer scientist Michael Neff combines movement science, gesture modeling and deep learning to create lifelike digital instructors — paving the way for more human embodied learning experiences.
In a recent letter to the editor of ACerS Bulletin, Petrina Okrah reflects on her unique perspective as an international student and how early access to mentorship and resources could help passionate scientists discover and realize their potential sooner.
The Bezos Earth Fund has announced a $2 million grant to the University California, Davis, the American Heart Association and other partners to advance “Swap it Smart” as part of its AI for Climate & Nature Grand Challenge.
High school students from the Capital region will be invited to explore biotechnology, AI and precision manufacturing through hands-on learning experiences at UC Davis in a program led by Professor of Biomedical Engineering Marc Facciotti.
With a quick leaf scan, the AI-powered Leaf Monitor delivers real-time nutrient insights for crops. By replacing weeks-long lab tests, the new tool, developed by UC Davis engineers, can help farmers boost yields, cut fertilizer waste and manage fields with precision and sustainability.
A new UC Davis-led study reveals that GenAI browser assistants collect and share sensitive data without users’ knowledge, calling for stronger safeguards, transparency and awareness to protect user privacy online.
