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  "path": "/astrophysics/programs/cosmic-origins/community/ai-ml-stig-lecture-series-2-march-2026/",
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  "textContent": "An introduction to equivariant neural networks, exploring the theoretical foundations of how symmetry constraints can be built directly into neural network architectures for more efficient and physically meaningful learning.\n\nThe post AI/ML STIG Lecture Series, 2 March 2026 appeared first on NASA Science.",
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