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The model learned from years of everyday global atmospheric data alongside a curated database of almost 5,000 historical cyclones. It genera

The model learned from years of everyday global atmospheric data alongside a curated database of almost 5,000 historical cyclones. It generates each 15-day probabilistic forecast scenario in under a minute on a TPU. https://t.co/vptoun7H9G

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The model learned from years of everyday global atmospheric data alongside a curated database of almost 5,000 historical cyclones. It genera

Why it matters: Product updates often signal what builders may need to retest, reroute, or adopt next.

Source: Google DeepMind
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