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1 event,Learning in Networks Reading GroupLearning in Networks Reading Group and Seminar Series: Tuesdays, 12pm in 330 Gross Hall; lunch included The institute focuses on fundamental questions in statistical inference, machine learning, causal inference, and optimization on networks, with particular emphasis on statistical-computational tradeoffs, message-passing algorithms, learning dynamics, and network-based market design. By fostering collaboration across disciplines, the institute aims […] |
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2 events,Learning in Networks Reading GroupLearning in Networks Reading Group and Seminar Series: Tuesdays, 12pm in 330 Gross Hall; lunch included The institute focuses on fundamental questions in statistical inference, machine learning, causal inference, and optimization on networks, with particular emphasis on statistical-computational tradeoffs, message-passing algorithms, learning dynamics, and network-based market design. By fostering collaboration across disciplines, the institute aims […] Learning in Networks Reading GroupLearning in Networks Reading Group and Seminar Series: Tuesdays, 12pm in 330 Gross Hall; lunch included The institute focuses on fundamental questions in statistical inference, machine learning, causal inference, and optimization on networks, with particular emphasis on statistical-computational tradeoffs, message-passing algorithms, learning dynamics, and network-based market design. By fostering collaboration across disciplines, the institute aims […] |
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Hosted by Duke AI Health and the Pratt School of Engineering and the Digital Health Innovation at Duke University, this event will bring together experts from healthcare, engineering, industry, and academia to explore how AI can drive health innovation. Duke's strengths in AI product development and healthcare innovation will be leveraged to explore responsible AI […] |
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1 event,Learning in Networks Reading GroupLearning in Networks Reading Group and Seminar Series: Tuesdays, 12pm in 330 Gross Hall; lunch included The institute focuses on fundamental questions in statistical inference, machine learning, causal inference, and optimization on networks, with particular emphasis on statistical-computational tradeoffs, message-passing algorithms, learning dynamics, and network-based market design. By fostering collaboration across disciplines, the institute aims […] |
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1 event,Duke Society for Women in Science (SWS) lunch seriesOrganized by the SWS in STEM and Staff of the Rhodes Information Initiative. With support from the Office of Faculty Advancement, we continue our mission of promoting fellowship and scientific connection among women scientists at Duke at ALL career stagesand across scientific disciplines. Half-hour, broad-audience lectures are paired with a delicious catered lunch and time […] |
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1 event,Learning in Networks Reading GroupLearning in Networks Reading Group and Seminar Series: Tuesdays, 12pm in 330 Gross Hall; lunch included The institute focuses on fundamental questions in statistical inference, machine learning, causal inference, and optimization on networks, with particular emphasis on statistical-computational tradeoffs, message-passing algorithms, learning dynamics, and network-based market design. By fostering collaboration across disciplines, the institute aims […] |
2 events,DMI/MEMS Seminar Presented by Prof Bradley D OlsenAbstract: The exponential rise in the production and use of polymers, particularly in single use applications, has led to a dramatic increase in their environmental prevalence and problems with plastic waste management. One necessary component of the solution to this challenge is developing plastics that degrade more effectively in the environment, be it due to […] DMI/MEMS Seminar Presented by Prof Bradley D OlsenAbstract: The exponential rise in the production and use of polymers, particularly in single use applications, has led to a dramatic increase in their environmental prevalence and problems with plastic waste management. One necessary component of the solution to this challenge is developing plastics that degrade more effectively in the environment, be it due to […] |
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1 event,Rhodes iiD PopUp: Statistical Inference and Learning in Networks Workshop 1Workshop 1: October 23-24 Research talks on statistical-computational tradeoffs, message-passing algorithms, and network inference. Location: 330 Gross Hall For more information please visit: https://sites.duke.edu/learninginnetworks/ Sign up for updates here: https://lists.duke.edu/sympa/subscribe/popup-learninginnetworks?previous_action=info |
1 event,DuQuantum HackathonDuQuantum is the first annual quantum computing hackathon at Duke. For 24 hours, we invite quantum enthusiasts to tackle challenges designed by industry leaders and gain experience with state-of-the-art quantum tools. All undergrads, Master's and PhD students are eligible. What to expect: - Beginner-friendly introductory challenges designed to help newcomers dip their toes into the […] |
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2 events,Rhodes iiD PopUp Institute: Justice in AIPlease RSVP here: https://duke.kualibuild.com/app/6a6a085327a10f029e5f0530/start The goal of the Justice in AI PopUp Institute is to bring together disparate groups on campus whose work is relevant to justice in AI and learn from each other as well was from outside visitors. It is organized by Walter Sinnott-Armstrong (Duke Philosophy) and Brandon L. Garrett (Duke Law). Dates: […] Justice in AI – Monthly LunchThe faculty and graduate student affiliates of the Institute will present their own works-in-progress at monthly lunches from September 2026 through January 2027, to get to know each other better, provide feedback to improve current work, and promote collaboration. Register for the lunch meeting: duke.is/JusticeAI |
1 event,Learning in Networks Reading GroupLearning in Networks Reading Group and Seminar Series: Tuesdays, 12pm in 330 Gross Hall; lunch included The institute focuses on fundamental questions in statistical inference, machine learning, causal inference, and optimization on networks, with particular emphasis on statistical-computational tradeoffs, message-passing algorithms, learning dynamics, and network-based market design. By fostering collaboration across disciplines, the institute aims […] |
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