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Scientific Computing and Machine Learning
SCML
Scientific Computing and Machine Learning
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Event Content - (M)

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KAUST CEMSE AMCS Mathematics and Applications Colloquium Jongho Park Mathematical Design and Analysis of Iterative Methods for Linear and Nonlinear Problems
Feb 10, 14:30 - 15:30, Mathematical Design and Analysis of Iterative Methods for Linear and Nonlinear Problems (B1 L3 R3119), Jongho Park, Research Scientist, Applied Mathematics and Computational Science
algorithms, iterative methods, Mathematics and Applications Colloquium, nonlinear models
May 14, 16:00 - 17:00, Models, Methods, Applications: HPC in Medicine, Science, Engineering, and AI (B3 L5 R5209), Rolf Krause, Professor, Applied Mathematics and Computational Science
AI, machine learning, medicine, Public Colloquium
May 5, 11:00 - 12:00, Multigrid Monte Carlo Revisited: Theory and Bayesian Inference (B1 L3 R3119), Professor Robert Scheichl, University of Heidelberg
Monte Carlo, Multigrid, Public Colloquium
Nov 16, 15:30 - 17:00, Multiscale Learning of High-dimensional Cell Fate (B9 L4 R4225), Prof. Qing Nie, Department of Mathematics, Department of Developmental and Cell Biology, NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine
Public Colloquium

Scientific Computing and Machine Learning (SCML)

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