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Researchers do use AI and machine learning to: \t•\tReduce high-dimensional chaotic systems (like weather models with hundreds or thousands of variables) \t•\tFind lower-dimensional representations that capture most of the system’s behavior Techniques involved include: \t•\tDimensionality reduction (PCA, autoencoders) \t•\tSparse discovery of dynamics (SINDy) \t•\tKoopman operator theory \t•\tNeural operators & reduced-order models In some controlled systems, AI can: \t•\tApproximate the dynamic
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