Can Artificial Intelligence Make Healthier Processed Foods? скачать в хорошем качестве

Can Artificial Intelligence Make Healthier Processed Foods?

Can AI help us reimagine food processing for better health? Hear what experts think about using AI to improve food safety, quality, and nutrition. Join a panel of engineers, food scientists, and AI researchers as they explore practical ways AI is being applied to develop smarter food products and connect food data to human health. ⏱️ Timestamps: 00:00 – Moderator welcome and overview 01:45 – Panelist introductions and areas of expertise 06:28 – AI in food engineering: current uses and opportunities 11:04 – Using sensors to monitor conditions in food processing 15:50 – Extrusion technology and AI for texture and nutrition 20:12 – Interdisciplinary challenges and communication gaps 27:33 – How data from food processing could inform health outcomes 31:08 – Limitations of existing models and the need for context-aware AI 38:40 – Audience questions on bias, trust, and adoption 44:17 – Final reflections on collaboration and real-world impact This AIFS-hosted panel features a lively discussion on the role of artificial intelligence in food product development and food processing. Panelists from engineering, food science, and AI backgrounds share how new technologies are being used to improve decision-making, optimize food structure, and enhance product quality. The conversation includes real-world examples of using sensors to track conditions such as temperature and pressure during food production. One panelist details how AI is could help optimize extrusion processes — predicting how ingredients interact to create desired textures and nutritional profiles. Another emphasizes how data generated during food processing might eventually be linked to human health outcomes, highlighting the need for interpretable and context-rich models. Panelists also reflect on the communication and collaboration challenges between AI experts and domain specialists in food and health. They emphasize the need for systems that incorporate uncertainty, context, and end-user needs, especially when aiming to use AI for public health or clinical insights. Audience questions address ethical concerns, bias in data, and how to build trust when implementing AI tools. The discussion concludes with forward-looking thoughts on building shared language and impact-driven research partnerships. LINKS & RESOURCES More videos from the AI for Food Product Development Symposium:    • AI for Food Product Development Symposium ...   FEATURED SPEAKERS: Ilias Tagkopoulos (Moderator) 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... Reto Bischof Head of Global R&D, Bühler Group   / retobischof   Girish Ganjyal Professor, Extension Food Processing Specialist Washington State University https://sfs.wsu.edu/girish-ganjyal/ Nitin Nitin Co-PI and Lead of Food Processing and Distribution Cluster, AIFS Professor of Biological and Agricultural Engineering, UC Davis https://aifs.ucdavis.edu/about/people... Sudhir Sastry Professor, Department of Food, Agricultural and Biological Engineering The Ohio State University https://fabe.osu.edu/our-people/sudhi... #FoodTech #AIinFoodProcessing #SmartManufacturing #HealthInnovation #FoodEngineering ---------- The AI Institute for Next Generation Food Systems (AIFS) integrates artificial intelligence with digital and biological technologies to meet the growing demands on our crop and food production — from seed to consumption. AIFS tackles challenges to our food supply chain to ensure an efficient, sustainable, nutritious, and safe food supply while mitigating the impacts of changing conditions. We further develop AI infrastructure by providing publicly-available AI models and data sets specific to the food system. 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 and turn on notifications for more insights on AI and food systems. 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: https://eepurl.com/hEVLcP