Events

  • Agentic Autumn

    Gross Hall, Ahmadieh Family Grand Hall, Room 330

    This short course will emphasize coding and developing AI skills. We ask participants to attend both sessions, since each one builds on the previous session. Given the hands-on nature, there will not be any Zoom options or recordings. Space is limited so register early if you plan to attend. If there is over subscription, we […]

  • Agentic Autumn

    Gross Hall, Ahmadieh Family Grand Hall, Room 330

    This short course will emphasize coding and developing AI skills. We ask participants to attend both sessions, since each one builds on the previous session. Given the hands-on nature, there will not be any Zoom options or recordings. Space is limited so register early if you plan to attend. If there is over subscription, we […]

  • Learning in Networks Reading Group

    Gross Hall, Ahmadieh Family Grand Hall, Room 330

    Learning 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 […]

  • Agentic Autumn

    Gross Hall, Ahmadieh Family Grand Hall, Room 330

    This short course will emphasize coding and developing AI skills. We ask participants to attend both sessions, since each one builds on the previous session. Given the hands-on nature, there will not be any Zoom options or recordings. Space is limited so register early if you plan to attend. If there is over subscription, we […]

  • Rhodes iiD PopUp: Learning in Networks Workshop 2

    Fuqua School of Business Geneen Auditorium

    Workshop II: November 13 Research talks on causal inference, learning dynamics, and network-based market design. Held in conjunction with the WORDS Conference on November 14. Location: Fuqua School - Geneen Auditorium 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

  • Learning in Networks Reading Group

    Gross Hall, Ahmadieh Family Grand Hall, Room 330

    Learning 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 […]

  • DMI/MEMS Seminar Presented by Prof Bharat Jalan

    Fitzpatrick Center Schiciano Auditorium Side A, room 1464

    Abstract: Progress in condensed-matter physics ultimately depends on materials reality. Many long-standing questions arise not from a lack of theoretical ideas, but from the challenge of controlling defects, disorder, stoichiometry, and strain in real materials. In this talk, I will discuss altermagnetism in RuO2 - a rutile 4d transition-metal oxide - from the perspective of […]

  • Duke Society for Women in Science (SWS) lunch series

    Gross Hall, Ahmadieh Family Grand Hall, Room 330

    Organized 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 […]

  • Learning in Networks Reading Group

    Gross Hall, Ahmadieh Family Grand Hall, Room 330

    Learning 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 […]