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observatory to the ~10s of picometer level over a wavefront control cycle. Several architectures are currently under consideration, but all are segmented and require maintaining precisely co-phased primary
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(C2) applications. The research project spans various architectural approaches, including both server-based and serverless implementations, to facilitate robust App-to-App communication. Why should I
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within the digital twin environment Developing deep learning architectures for time-series forecasting, anomaly detection, and predictive maintenance of the physical asset Designing and training Physics
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tailored to scientific modeling workflows. Rather than deploying AI as a black-box predictor, we propose a physics-aware AI agent architecture that interfaces directly with ISSM’s modular components