41:22
Chalmers AI4Science -- Sarah Alamdari (Microsoft Research)
59:13
Dr. Julija Zavadlav --- Multiscale Modeling with Machine Learning Potentials
41:59
Dr. Rose Cersonsky --- How data-driven studies translate into chemical and physical principles
01:01:09
Dr. Kirill Neklyudov --- Controlling Diffusion Models at Inference Time
57:44
Dr. Ricardo Vinuesa --- Explaining and controlling turbulent flows through deep learning
58:47
Dr. Tristan Bereau (Heidelberg) - Free-energy Calculations from Neural Thermodynamic Integration
01:04:18
Dr. Anne-Florence Bitbol - Predicting interaction partners and generating new protein sequences[...]
01:00:45
Dr. Samuel Genheden (AstraZeneca) --- Exploiting artificial intelligence in synthesis planning
01:00:02
Dr. Kjell Jorner --- Simulations and machine learning for molecular design and reactivity
55:24
Dr. Feliks Nüske --- Kernel Methods for Koopman-based Modeling in Molecular Simulation
59:43
Dr. Antonia Mey -- Proteins under the computational microscope: from ML to molecular simulations
54:24
Dr. Kevin Jablonka --- Why machine learning can find a new material but not a needle in a haystack.
01:00:57
Dr. Matteo Degiacomi — Generative Neural Networks vs Protein Conformational Spaces
01:01:17
Dr. Jon-Paul Janet -- Accelerating drug design with AI & simulation
01:06:08
Dr. Stefan Bauer -- Causal Experimental Design
58:15
Dr. Soledad Villar -- Exploiting symmetries in machine learning models
01:05:00
Dr. Gomez Bombarelli -- End-to-end learning and auto-differentiation
01:01:03
Dr. M. AlQuraishi -- OpenFold: Lesson learned and insights gained from rebuilding and retraining AF2
01:08:53
Dr. Bingqing Cheng - Ab initio thermodynamics
01:15:10
Dr. Tess E. Smidt: Unexpected Lessons from Neural Networks Built with Symmetry for Physical Systems
48:49
Dr. Pratyush Tiwary --- Artificial Chemical Intelligence
56:24
Dr. Rianne van den Berg --- AI4Science at Microsoft Research
58:43
Dr. Paris Perdikaris -- Supervised and physics-informed learning in function spaces
59:01
Dr. Francesca Grisoni -- De novo drug design with chemical language models
57:32
Dr. Evert van Nieuwenburg -- AI for Quantum Experiments
55:26
Dr. Bethany A Lusch -- Data-driven discovery of coordinates and governing equations
57:52
Dr. Kevin Yang -- Multimodal Machine Learning for Protein Engineering
55:17
Dr. Bastian Rieck -- Zoom and Enhance: Towards Multi-Scale Representations in the Life Sciences
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