Search for tag: "institute for data engineering and science"
Prevent Symposium - Closing Remarks4:50 p.m Closing Discussion: Symposium Chairs 5:20 p.m. Closing Remarks: Elebeoba May, NSF
From Katie Gentilello
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Prevent Symposium - Session 4, Physiological and Environmental Level ThemeSession 4, Physiological and Environmental Level Theme Chairs: Krista Wigginton and John Yin2:10 p.m. Denise Kirschner, Michigan, Plenary Talk 2:30 p.m. Vipin Kumar, UMN , Presentation 2:40 p.m. Rita…
From Katie Gentilello
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Prevent Symposium - Session 3, Population Level ThemeSession 3, Population Level Theme Chairs: B. Aditya Prakash and Paul Torrens10:30 a.m. Bryan Grenfell, Princeton, Plenary Talk 10:50 a.m. Bin Yu, UC Berkeley, Presentation 11:00 a.m. Jordan Peccia,…
From Katie Gentilello
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Prevent Symposium - Session 2, Molecular Level ThemeSession 2, Molecular Level Theme Chairs: John Yin and Paul Torrens2:25 p.m. Paul Turner, Yale, Plenary Talk 2:45 p.m. Marc Riedel, UMN, Presentation 2:55 p.m. David Van Valen, Caltech, Presentation…
From Katie Gentilello
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Prevent Symposium - Session 1, End-to-End ThemeSession 1, End-to-End Theme Chairs: B. Aditya Prakash and Krista Wigginton10:45 a.m. Madhav Marathe, UVA, Plenary Talk 11:05 a.m. Debra Peters, USDA, Presentation 11:15 a.m. Ruian Ke, LANL,…
From Katie Gentilello
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Prevent Symposium - Opening and Welcome Remarks, Technical Backgrounds10:00 a.m. Opening Remarks: Sethuraman Panchanathan, NSF Director 10:10 a.m Welcome Statement: Mitra Basu, NSF 10:15 a.m. Technical Background: Symposium Chairs
From Katie Gentilello
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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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