Join us on the UC Davis campus to learn how Dr. Ilias Tagkopoulos is using AI to extract food composition knowledge to drive discoveries in food, nutrition, and health.

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

Featuring Ilias Tagkopoulos, PhD, Director, AI Institute for Next Generation Food Systems (AIFS), Professor, Dept. of Computer Science and Genome Center, University of California, Davis.

WHAT: Free one-hour event with a talk by Dr. Ilias Tagkopoulos

WHEN: Wednesday, December 11, 2024, 12:00–1:00 PM

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.

Join the AI Institute for Next Generation Food Systems (AIFS) on the UC Davis campus or via Zoom for an engaging event demonstrating how FoodAtlas connects food composition to our health.

The quality of what we eat profoundly impacts our health. To make this information more accessible, we have developed an AI-driven knowledge base called FoodAtlas. This platform 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.

FoodAtlas is powered by an automated AI pipeline that leverages both traditional deep learning techniques and large language models for entity recognition, information extraction, and the creation of a knowledge graph.

In this talk, we will explore the computational methods used to construct this 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.