Search for tag: "ideas-ai seminar series"
Alexander Gray - Logical Neural Networks: Towards Unifying Statistical and Symbolic AIRecently there has been renewed interest in the long-standing goal of somehow unifying the capabilities of both statistical AI (learning and prediction) and symbolic AI (knowledge representation and…
From Katie Gentilello
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Jesse Thaler - Collision Course: Artificial Intelligence Meets Fundamental InteractionsModern machine learning has had an outsized impact on many scientific fields, and fundamental physics is no exception. What is special about fundamental physics, though, is the vast amount of…
From Katie Gentilello
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Huimin Zhao - Challenges and Opportunities at the Nexus of Synthetic Biology, Machine Learning, and AutomationInspired by the exponential growth of the microelectronic industry, my lab has been attempting to build a biofoundry that integrates biology, automation and artificial intelligence (AI)/machine…
From Katie Gentilello
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Bin Yu - Curating a COVID-19 data repository and forecasting county-level death counts in the United StatesAs the COVID-19 outbreak evolves, accurate forecasting continues to play an extremely important role in informing policy decisions. In this paper, we present our continuous curation of a large data…
From Katie Gentilello
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Sidney D'Mello - Understanding Human Functioning & Enhancing Human Potential through Computational MethodsIt is generally accepted that computational methods can complement traditional approaches to understanding human functioning, including thoughts, feelings, behaviors, and social interactions. I…
From Katie Gentilello
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Amy McGovern - Building Trustworthy AI for Environmental ScienceAs climate change affects weather patterns and sea levels rise, the world’s need for accurate, usable predictions of weather and ocean and their impacts has never been greater. At the same…
From Katie Gentilello
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