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Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery
Causal discovery of genome-scale networks is important for identifying pathways from genes to observable traits - e. g. differences in cell function, disease, drug resistance and others.
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources
Applications that fuse machine learning and simulation can benefit from the use of multiple computing resources, with, for example, simulation codes running on highly parallel supercomputers and AI training and inference tasks on specialized accelerators.
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