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Researchers introduced Walrus, a transformer model that can predict what fluids (liquids, gases, and plasmas) will do across many physical domains. The model achieves higher accuracy and more stable long-term predictions than prior models, thanks in part to a "jitter" technique that reduces error accumulation during repeated simulations. Read our summary of the paper in The Batch 👇 https://hubs.la/Q04dfSWr0

A Dynamic Fluids Model Appears To Solve Transformers’ Pixellation Problem