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A Race between Statistics and Artificial Intelligence?
时间:2024年06月11日 11:09 点击数:

报告人:Xuming He

报告地点:惟真楼523报告厅

报告时间:2024年06月11日星期二16:00-17:00

邀请人:郑术蓉

报告摘要:

Abstract: Many have considered AI as a transformative force in the digital age. While we do hear about epic failures of AI, we are constantly amazed by what AI can do for us. In this presentation, I will discuss why and how statistics and AI have become far more complementary than competitive in their race toward real intelligence. We need to argue for better use of human intelligence as we embrace AI, and adherence and development of statistical principles are critical to ensure integration of machine and human intelligence.

主讲人简介:

Bio: Xuming He is Kotzubei-Beckmann Distinguished Professor and Inaugural Chair of the Department of Statistics and Data Science at Washington University in St. Louis. Previously, he served as the H.C. Carver Collegiate Professor of Statistics at the University of Michigan. He research interests include robust statistics, quantile regression, Bayesian inference, and post-selection inference.

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