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Tag Archives | 2019

Summer Seminar Series: Applications of gauge topology, holography and string models to QCD

Organizers: Massimo D’Elia, Jeff Greensite, Elias Kiritsis, Zohar Komargodski, Edward Shuryak, Jacob Sonnenschein, Ismail Zahed A workshop on these topics was supposed to start in June 2020 at the Simons Center of Stony Brook University, but this in-person meeting is now delayed to June 7, 2021. This will mean a roughly two year gap since […]

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Lighting new Lampposts for Dark Matter and Beyond the Standard Model: February 24 – March 20, 2020

****Please note as of March 23rd the program has been postponed and will be rescheduled to January 19 – February 5, 2021.**** Organized by: Ranny Budnik, Rouven Essig, and Maxim Pospelov. Continuing progress in collider physics and dark matter searches in the past few decades have put significant pressure on several favorable theoretical models for […]

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Neural Networks and the Data Science Revolution: from Theoretical Physics to Neuroscience, and Back: January 6-31, 2020

Organized by: Michael R. Douglas, Sergei Gukov, Jim Halverson, Sven Krippendorf, Fabian Ruehle, Giancarlo La Camera, Luca Mazzucato, Jin Wang Live video may be available, please take a look at The availability of very large datasets and the striking progress in artificial intelligence are revolutionizing the way scientists approach their disciplines. The deployment of […]

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Renormalization and Universality in Conformal Geometry, Dynamics, Random Processes, and Field Theory: February 3 – March 23, 2020

****Please note as of March 23, 2020 the program has been postponed and will be rescheduled to February 22 – March 19, 2021.**** We will be conducting virtual zoom seminars in response to the social distancing measures currently in place in New York. These seminars are taking place generally on Fridays at 2:30pm. You can […]

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Analysis, Dynamics, Geometry and Probability: March 2-6, 2020

Organized by: Hrant Hakobyan, Kirill Lazebnik, Raanan Schul, Scientific committee: Peter Jones, Misha Lyubich, Dennis Sullivan The workshop will bring together experts in Analysis, Dynamics, Geometry and Probability. These fields have had fruitful interaction in the past and present. One example is the connection between Brownian motion, harmonic measure, analysis of singular integrals, and geometric properties of […]

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Novel Vistas on Vortices: November 11-15, 2019

Organized by: Mathew Bullimore (Durham, UK), Nuno M. Romão (Augsburg, Germany), Sushmita Venugopalan (IMSc Chennai, India) Moduli spaces of symplectic vortices, well known to particle and condensed-matter physicists since the 1970s, have experienced a substantial revival over the last twenty years. This has been motivated, on one hand, by the extension of the vortex equations […]

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Strings, Geometry, and Data Science: January 6-8, 2020

Organized by: Michael R. Douglas, Sergei Gukov, James Halverson, Sven Krippendorf, and Fabian Ruehle Recent years have seen great progress in data science (DS), specifically within the context of machine learning (ML) and artificial intelligence, which is beginning to lead to breakthroughs in mathematics and theoretical physics. In light of this growing subfield, this conference […]

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Physics of neural circuits and network dynamics: January 27-31, 2020

Organized by: Giancarlo La Camera, Luca Mazzucato, Jin Wang and Michael R. Douglas This workshop brings together leading researchers to discuss current progress on uncovering emergent phenomena and design principles of brain function. The workshop is organized to encourage discussion across different research communities including physics, mathematics, machine learning, and neuroscience with a special emphasis […]

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