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Content provided by Ludwig-Maximilians-Universität Munich and The Arnold Sommerfeld Center for Theoretical Physics (ASC). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ludwig-Maximilians-Universität Munich and The Arnold Sommerfeld Center for Theoretical Physics (ASC) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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1 How AI is saving billions of years of human research time | Max Jaderberg 19:15
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Can AI compress the years long research time of a PhD into seconds? Research scientist Max Jaderberg explores how “AI analogs” simulate real-world lab work with staggering speed and scale, unlocking new insights on protein folding and drug discovery. Drawing on his experience working on Isomorphic Labs' and Google DeepMind's AlphaFold 3 — an AI model for predicting the structure of molecules — Jaderberg explains how this new technology frees up researchers' time and resources to better understand the real, messy world and tackle the next frontiers of science, medicine and more. For a chance to give your own TED Talk, fill out the Idea Search Application: ted.com/ideasearch . Interested in learning more about upcoming TED events? Follow these links: TEDNext: ted.com/futureyou TEDAI Vienna: ted.com/ai-vienna Hosted on Acast. See acast.com/privacy for more information.…
Introduction to black hole informatics, Lecture 3
Manage episode 259086536 series 2552871
Content provided by Ludwig-Maximilians-Universität Munich and The Arnold Sommerfeld Center for Theoretical Physics (ASC). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ludwig-Maximilians-Universität Munich and The Arnold Sommerfeld Center for Theoretical Physics (ASC) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
2018 Arnold Sommerfeld School: Black Holes and Quantum Information
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241 episodes
Manage episode 259086536 series 2552871
Content provided by Ludwig-Maximilians-Universität Munich and The Arnold Sommerfeld Center for Theoretical Physics (ASC). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ludwig-Maximilians-Universität Munich and The Arnold Sommerfeld Center for Theoretical Physics (ASC) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
2018 Arnold Sommerfeld School: Black Holes and Quantum Information
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241 episodes
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Theoretical Physics Schools (ASC)

1 Quantum Monte Carlo methods for fermion Hamiltonians with sign problem, and applications in the Hubbard model, part 1 1:26:17
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2024 Arnold Sommerfeld School
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1 Quantum Monte Carlo methods for fermion Hamiltonians with sign problem, and applications in the Hubbard model, part 2 1:35:29
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1 Engineering flat-bands in moiré materials, part 2 1:15:51
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1 Engineering flat-bands in moiré materials, part 1 25:55
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2024 Arnold Sommerfeld School
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Theoretical Physics Schools (ASC)

1 Beyond (typical) FHM with ultracold Yb atoms in optical lattices 1:28:38
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Theoretical Physics Schools (ASC)

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Theoretical Physics Schools (ASC)

1 Beyond DMFT: weak and strong coupling pseudogaps and fluctuation diagnostics 1:29:53
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1 Introduction to DMRG and Tensor networks, part 1 1:35:29
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1 Quantum many-body physics with cold atoms and molecules, part 1 1:39:25
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1 Quantum many-body physics with cold atoms and molecules, part 2 1:35:27
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1 Introduction to DMRG and Tensor networks, part 2 1:35:22
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1 1/4 is the new 1/2: Topology and Strong Interactions 1:21:52
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1 The dynamical mean-field description of strong correlations 1:20:30
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1 Quantum gas microscopy of the Fermi-Hubbard model: probing strongly correlated states 1:39:32
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1 Quantum simulation with bosonic atoms in optical lattices under the microscope 1:33:46
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1 Distance Conjecture and the Species Scale 1:34:35
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2023 Arnold Sommerfeld School
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1 Emergent Strings, the Weak Gravity Conjecture and their imprint in geometry, part 2 1:38:30
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1 Finiteness, Complexity, and the Swampland, part 2 1:35:34
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1 S-matrix implications for fundamental physics and cosmology 1:43:09
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1 An introduction to the species scale in quantum gravity and string theory 1:34:02
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1 Swampland and Cosmological Observations 1:29:42
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1 Swampland Implications for Particle Physics, part 2 1:29:12
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1 An introduction to the Swampland, part 1 (1st half) 48:28
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1 An introduction to the Swampland, part 1 (2nd half) 34:46
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1 Swampland Implications for Particle Physics, part 1 1:31:19
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1 An introduction to the Swampland, part 2 1:33:04
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1 Finiteness, Complexity, and the Swampland, part 1 1:38:23
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1 Emergent Strings, the Weak Gravity Conjecture and their imprint in geometry, part 1 1:33:03
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1 Generative models and many-body physics 1:32:07
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2022 Arnold Sommerfeld School: Physics meets AI
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1 Understanding your network - towards interpretability in machine learning applications in many-body physics 1:30:03
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2022 Arnold Sommerfeld School: Physics meets AI
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1 Autoregressive models and quantum state reconstruction 1:32:00
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2022 Arnold Sommerfeld School: Physics meets AI
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1 Artificial Intelligence for Precision Cosmology 1:23:23
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2022 Arnold Sommerfeld School: Physics meets AI
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2022 Arnold Sommerfeld School: Physics meets AI
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1 Beyond ground states: Assisting sampling of physical states with generative models, part 2 1:26:28
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2022 Arnold Sommerfeld School: Physics meets AI
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1 Generative Models, Manifolds and Symmetries: Tools 1:23:21
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2022 Arnold Sommerfeld School: Physics meets AI
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1 Simulation-based inference for physics and beyond 1:24:52
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1 Generative Models, Manifolds and Symmetries: Applications 1:48:02
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1 Mathematical Foundations of Deep Learning 1:31:45
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1 Tutorial on quantum state reconstruction of Rydberg atom arrays 44:49
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2022 Arnold Sommerfeld School: Physics meets AI
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2022 Arnold Sommerfeld School: Physics meets AI
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1 Beyond ground states: Assisting sampling of physical states with generative models, part 1 1:12:03
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