Join the AI Institute for Next Generation Food Systems (AIFS) on the UC Davis campus to learn how FoodAtlas connects food composition to our health using AI to extract knowledge from 42,000 scientific publications and databases.
WHAT: Free one-hour event with talk by Dr. Ilias Tagkopoulos followed by Q&A
WHEN: Wednesday, December 11, 2024, 12:00–1:00 PM (PT)
WHERE: Physical and Data Sciences Building (formerly PSEL), Seminar Room 1025, UC Davis, or via Zoom
WHO SHOULD ATTEND: This event is open to all, whether you are a part of the university community or the public.
FEATURED SPEAKER:
Ilias Tagkopoulos, PhD, Director, AI Institute for Next Generation Food Systems (AIFS), Professor, Dept. of Computer Science and Genome Center, University of California, Davis
FoodAtlas: An AI-driven Knowledge Base of Food, Chemicals, and Health Effects
The quality of what we eat profoundly impacts human health.
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.
In this talk, we will explore the computational methods used to construct the FoodAtlas knowledge graph and discuss how the application can drive discoveries in food, nutrition, and health.
Lunch will be provided for in-person attendees.
This event is available in hybrid format to attend in person or online.
To learn more and register: https://bit.ly/aifs-speakerseries
