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An AI model that simulates real-world physical systems evolving over time.
An AI model that simulates real-world physical systems evolving over time. Uses a custom implementation of Galerkin-type attention with linear-attention scaling that scales linearly in computation time with respect to both dimensions and grid size. Described as a constant-time lossy lookup table.
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
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Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.