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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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A (10) | B (1) | C (4) | D (5) | E (3) | F (2) | H (2) | I (1) | M (3) | N (5) | O (3) | P (1) | S (5) | T (1) | U (1) | V (1)
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 Sciences
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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