by Alireza Pourreza, Assistant Professor of Cooperative Extension for the Department of Biological and Agricultural Engineering, and Kristin Singhasemanon, AIFS Communications and Marketing
Researchers at UC Davis are using drone imagery and advanced modeling to track nitrogen levels in almond orchards — a step toward more efficient farming. This approach could help growers optimize fertilizer use, protect water quality and improve sustainability in California agriculture
Chuah will lead the center’s efforts to advance human health through artificial intelligence research and build strategic partnerships with UC Davis Health’s School of Medicine and School of Nursing.
Ilias Tagkopoulos, director of the AI Institute for Next-Generation Food Systems at UC Davis, is harnessing AI to revolutionize food and health. From mapping food chemistry to optimizing sustainable production, his research aims to create smarter, healthier and more accessible nutrition for all.
UC Davis researchers Kwan-Liu Ma and Dongyu Liu aim to improve collaboration in fields like emergency management by investigating how ambiguity in data visualization affects high-stakes decision-making.
Dean Richard L. Corsi sits down with Professor of Computer Science Ian Davidson and Professor of Electrical and Computer Engineering Chen-Nee Chuah to discuss the current and near-future roles of artificial intelligence and its real and anticipated implications for society.
A new chatbot developed by UC Davis researchers will help the public and industry identify, manage and treat weeds thanks to a robust set of training data, including papers, books and journals on invasive plants.
If you're thinking of buying a "smart" TV for the holidays, you ought to know that your new device is constantly capturing snapshots of what's on screen and sending them back to the manufacturer — even if you are using the device as a computer monitor and not watching TV at all.
Professor of Materials Science and Engineering Marina Leite leads a team of UC Davis researchers in an AI-driven project to build foundational knowledge of halide perovskites, a promising material for solar cells.
After seeing the gaps in robotics in the automotive industry, Assistant Professor of Mechanical and Aerospace Engineering Iman Soltani is teaching robots to adjust their sight line using active vision and machine learning, hoping to push robotics one step closer to widespread adoption.
