Reducing food waste with machine learning

To connect with developers, engineers, data scientists, researchers, and ML practitioners, join the Bugout community: About 30-40% of food produced worldwide is wasted. This represents a $165B loss to the US economy and poses major environmental problems. It’s estimated that food waste contributes to up to 25% of all greenhouse gas emissions. This talk explores how artificial intelligence can be used to automate decisions across the food supply chain in order to reduce waste and increase the quality and affordability of food. Our speaker, Volodymyr Kuleshov, co-founder and CTO of Afresh, will share about the system his team has built: a model-based reinforcement learning engine for perishable inventory management. Volodymyr Kuleshov is also an Assistant Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and in the Computer Science Department at Cornell University. He obtained his Ph.D. in Computer Science