Artificial Intelligence

Harnessing AI to Advance Solar Cell Research

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.

FoodAtlas: An AI-driven Knowledge Base of Food, Chemicals, and Health Effects

Dr. Tagkopoulos will share his work leveraging AI and Machine Learning to make food composition information more accessible. FoodAtlas connects foods, chemicals, and their health effects, featuring 260,000 associations across 1,430 foods and 3,600 chemicals, extracted from 42,000 scientific publications and public databases.

Advancing Alzheimer Research with AI

Professor Chen-Nee Chuah leads AI/ML efforts within a multidisciplinary team that has received a $6 million grant from the National Institute on Aging to deepen the understanding of the neuropathologic landscape of Alzheimer’s disease, focusing on individuals who identify as Hispanic/Latino.

UC Davis Receives Grant to Develop and Assess AI Approach for Atrial Fibrillation Risk Modeling

Atrial fibrillation, or AFib, is an irregular and often rapid heart rhythm, also known as an arrhythmia. AFib is the most common type of heart arrhythmia and predisposes patients to an increased risk of stroke. It has a significant global impact — affecting nearly 40 million individuals worldwide and over 6 million in the United States.