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**This seminar had to be cancelled!**
The speaker will give a talk at the workshop on Health and Aging on October 27, 2025.
What if AI was not just a tool, but a reflection of human creativity itself?
Marcus Liwicki – and a surprise guest from the future – will attend explore how AI can become a powerful tool for everyone.
Join them on a journey through time to discover how curiosity and hands-on learning can unlock the full potential of human-centered AI – today, tomorrow, and beyond.
Furthermore, Marcus will highlight some general AI research directions and focus in Sweden as well as a few highlights from the gender-balanced Machine Learning group at LTU, which he leads as chaired professor.
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Prof. Jun Zhang, graduated and received his BS degree from Wuhan University in China, and earned his Ph.D. in Physics at the University of Copenhagen, Denmark. After a postdoctoral experience in biophysics at Rockefeller University, he came to NYU and started building the Applied Math Lab at the Courant Institute and later he became a faculty member (physics and math) there. His research interest has been in the field of physics of fluids and complex systems, which includes biomechanics or bio-locomotion (organismal swimming and flying), geophysical fluids (thermal convection, continental dynamics, and erosion), solid-on-solid friction, urban heat-island effect, and self-organization phenomena at many different scales.
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Target audience: Interns, Students, PostDocs, and those who are interested in the same research field.
Language: English
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QG seminar
Speaker: Subhobrata Chatterjee
Title: "Contact geometry and quantization"
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Dr. Lydia Sosa Vargas, CNRS Research fellow, French National Centre for Scientific Research (CNRS), Paris, France
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Speaker: Professor Yohei Sakurai, Saitama University
Title: Almost splitting and quantitative stratification for super Ricci flow
Abstract:
I will discuss almost rigidity properties of super Ricci flow whose Muller quantity is non-negative.
I will present almost splitting and quantitative stratification theorems that have been established by Bamler for Ricci flow. This talk is based on the joint work with Keita Kunikawa (Tokushima university).
**ZOOM** Please register here
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Speaker: Dr. Lenka Zdeborová, Associate Professor, EPFL (École Polytechnique Fédérale de Lausanne)
Title: Statistical Physics Perspective on Understanding Learning with Neural Networks
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Target audience: Interns, Students, PostDocs, and those who are interested in the same research field.
Language: English
Date
Target audience: Interns, Students, PostDocs, and those who are interested in the same research field.
Language: English