Google DeepMind

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Tracked through public AI activity and peer connections inside the directory.

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Articles & links

Giving teams a look ahead at rapidly changing weather helps them balance power grids and match clean energy to everyday consumer demand. 🌍 Find out more about WeatherNext 3 → https://t.co/L0Aj0dracJ

Introducing WeatherNext 3, our most advanced and accurate global weather AI model blog.google
AI Weekly's analysis
  • WeatherNext 3 runs hourly global forecasts at 5-kilometer resolution for surface temperature and moisture, roughly five times sharper than WeatherNext 2.
  • Google reports CRPS precipitation improvements of up to 60% against IMERG, 30% for MRMS, and 10% against rain gauge measurements.
  • The model now powers Google Search, the Gemini app, Google Maps, Earth Engine, and is available in bulk via BigQuery and Cloud Storage.
Read full analysis →
View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 8d ago

We’re open sourcing the code and model weights on @Github, making them freely available for anyone to build on. This could be for academic purposes, operational forecasting, or developing more specialized, localized models. Explore the research → https://t.co/hyllj4fVKW

AI model achieves breakthrough in forecasting cyclones — Google DeepMind deepmind.google
AI Weekly's analysis
  • WeatherNext 2 generates forecasts 8x faster than prior systems at up to 1-hour resolution, making real-time ensemble runs feasible for national meteorological centers.
  • The Cyclones model ran operationally during the 2025 Atlantic hurricane season, with a documented real-time prediction of Hurricane Melissa's rapid intensification.
  • Weights and code are on GitHub; WeatherNext 2-mini runs on a single TPU in a free Colab notebook, removing the compute barrier for smaller agencies.
Read full analysis →
View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 48d ago

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