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1
Intro
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Previous work
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Wildlife Protection
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Data Challenges
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Results
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Field test
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Improved learning framework
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Field test 2017
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Patrol planning
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Patrol planning algorithm
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Probability distribution
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Integration with Smart
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Food Rescue
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Optimization
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Data Analysis
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New Notification Scheme
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Theoretical Aspects
Description:
Explore the intersection of machine learning, game theory, and social impact in this 21-minute conference talk by Fei Fang from Carnegie Mellon University. Discover how innovative techniques are applied to address real-world challenges in security, environmental sustainability, and food security. Learn about the successful deployment of AI-driven solutions, including the US Coast Guard's protection of the Staten Island Ferry and the PAWS (Protection Assistant for Wildlife Security) system used in global conservation efforts. Gain insights into the application of these technologies in improving operational efficiency for non-profit organizations like 412 Food Rescue. Delve into topics such as wildlife protection, data challenges, patrol planning algorithms, and theoretical aspects of integrating machine learning and game theory for societal benefit.

Machine Learning and Game Theory for Social Impact

Institute for Pure & Applied Mathematics (IPAM)
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