Operator Learning in Theory and Practice
Research Scientist
Nikola Kovachi details the theoretical underpinnings and practical applications of operator learning for solving complex scientific and engineering problems.
Nikola Kovachi (NVIDIA, NYU) - Operator Learning in Theory and Practice
Welcome to a conference on discovery and prediction in complex geo systems. AI/ML shows promise for accelerating Bayesian inversions, is able to capture and identify controlling features of high fidelity models, and appears to improve complex system analysis, including extending predictive horizons, for reasons that are not fully understood. This conference focuses on efforts to advance the use of AI/ML to understand physical processes in the geosciences and adjacent fields.
Seminar notes & discussion
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