NSF Grant Backs Cornell AI Models of Human Choices in Complex Systems
Cornell researchers receive a three-year, $600,000 NSF grant to build interpretable AI models of human decisions in networked systems like grids and transit.
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Cornell researchers have won a three-year, $600,000 National Science Foundation grant to develop AI models that better represent human decision-making in cyber-physical systems, such as power grids and transportation networks, while making uncertainty and trade-offs explicit.
NSF Grant Backs Cornell AI Models of Human Choices in Complex Systems ↗Cornell researchers receive a three-year, $600,000 NSF grant to build interpretable AI models of human decisions in networked systems like grids and transit.
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