Google's WeatherNext 3 Ditches Physics Simulations and Learns Weather Directly From Live Satellite Data
5 Articles
5 Articles
Despite the advances of artificial intelligence in the area of meteorology, predicting very localized phenomena, such as rain, remains a challenge. That's precisely where WeatherNext 3 enters, which uses real-time satellite data to update the hourly forecasts.
Google launched a new model of artificial intelligence dedicated to weather forecasting, providing more detailed weather forecasts, with updates every hour.
Google's WeatherNext 3 ditches physics simulations and learns weather directly from live satellite data
Google Research and DeepMind are releasing WeatherNext 3, a weather model that skips traditional physics simulations and learns directly from real-time satellite data. It produces hourly forecasts at up to five-kilometer resolution, five times more detailed than its predecessor. Google says regions in Africa, Latin America, and the Asia-Pacific that have lacked accurate forecasts should see the biggest gains. The article Google's WeatherNext 3 d…
With WeatherNext 3, Google Research and Deepmind present a weather model that dispenses with classical physics simulations and learns directly from real-time satellite data. The result: hourly predictions with up to five kilometers of resolution, five times more detailed than the previous one. Especially underserved regions in Africa, Latin America and the Asia-Pacific region should benefit. The article Google's WeatherNext 3 delivers hourly wea…
Sawalev launched a new model of artificial weather-predicting intelligence, called "WeatherNext 3"; with a view to providing a clearer view of atmospheric changes and predicting their behaviour at a more frequent pace. Google announced that the model would start feeding weather information to users through Google research, Google maps, and Gemenai maps, and would also be available to users and researchers through... this content would enter the …
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