FoodAtlas: An AI-driven Knowledge Base of Food, Chemicals, and Health Effects - Ilias Tagkopoulos скачать в хорошем качестве

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

Are you happy with what you ate today? Do you have the information you need to make healthy choices? It turns out we only know 5-10% of the components -- micronutrients, proteins, etc. -- that make up our foods. And we’re talking about raw ingredients, plants, and meats before any processing. Dr. Ilias Tagkopoulos explains how AI is transforming our understanding of what is in our food, how it affects our bodies and minds, and how we can use this knowledge to improve human health. He introduces neural networks and the building blocks of large language models, and shows how his research team has used this technology to create FoodAtlas, the largest evidence-based food composition database available. Timestamps: 00:00 - Introduction & Welcome by Steve Brown 04:15 - Introducing FoodAtlas: A Focus on Evidence Synthesis 04:30 - Our Limited Understanding of Food Composition 06:50 - Basics of Neural Networks Explained 13:09 - Evolution of Large Language Models (LLMs) 18:07 - Applications of AI in Food Science, Health and Nutrition 24:17 - Building a Comprehensive Food Database with FoodAtlas 33:46 - Applications of the FoodAtlas Knowledge Base 40:35 - Challenges & Future of AI in Food Science & Public Health 48:03 - Q&A Session: Concerns about AGI & AI Safety Explore how AI is revolutionizing the food industry with insights from Dr. Ilias Tagkopoulos. Learn about FoodAtlas, a novel AI-driven knowledge base revealing the complex links between foods, their chemical composition, and their health effects. Understand the structure and capabilities of neural networks and large language models like ChatGPT, and see how AI can accelerate innovation in food systems. Dr. Tagkopoulos delves into the practical applications of AI in identifying new health interventions and discusses the critical need for reliable data. The audience engages with thoughtful questions about managing potential AI advancements and integrating social perspectives into food systems for holistic improvements. More about the FoodAtlas project: https://aifs.ucdavis.edu/research/pro... Published Paper “FoodAtlas: Automated knowledge extraction of food and chemicals from literature”: https://www.sciencedirect.com/science... FEATURED SPEAKER: Ilias Tagkopoulos, Ph.D. Director, AI Institute for Next Generation Food Systems (AIFS) Professor, Dept. of Computer Science and Genome Center University of California, Davis https://aifs.ucdavis.edu/about/people... #AI #NeuralNetworks #FoodAtlas #HealthAI ---------- The AI Institute for Next Generation Food Systems, or AIFS, was launched in 2020 to solve the world’s biggest challenges to crop and food production facing our planet: ensuring a sustainable, nutritious, efficient, and safe food supply while mitigating the impacts of a changing climate. Given food’s fundamental role in human health and well-being, coupled with its far-reaching impacts on the national economy and environment, AIFS is developing open-source AI solutions across the food system for the good of our people, our planet and our society. We bring together more than 40 researchers from six institutions: UC Davis, UC Berkeley, UC Agriculture and Natural Resources (UC-ANR), Cornell University, University of Illinois at Urbana-Champaign, and the U.S. Department of Agriculture. This work is supported by AFRI Competitive Grant no. 2020-67021-32855/project accession no. 1024262 from the USDA National Institute of Food and Agriculture. Subscribe to our channel for more insights on AI and food systems. Watch our Speaker Series playlists on AI innovations in food and agriculture:    / @aifoodsystems   Visit the AIFS website for comprehensive resources and updates: https://aifs.ucdavis.edu/ Join our email list to stay hear about upcoming events and speakers: http://eepurl.com/hEVLcP