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Google DeepMind's WeatherNext 3 model demonstrates that deep learning architectures can now outperform both traditional physics-based supercomputers and other AI models in operational weather forecasting. By integrating these faster, more accurate predictions directly into consumer products like Maps and Gemini, this development marks a significant shift toward using AI as the primary engine for meteorological analysis rather than an auxiliary tool.

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Google’s latest AI weather model gives you no excuse to forget your umbrella

TechCrunchSeptember 3, 20265 min read

WeatherNext 3 is the latest wave of a sea change in meteorology brought out by deep learning techniques. Google says it will start feeding into weather information users see in search, Google Maps, and Gemini.

Scientists at Google Deepmind and Google Research released a new artificial intelligence model for weather forecasting today that sees our changing atmosphere more clearly and predicts its behavior more often. WeatherNext 3 is the latest wave of a sea change in meteorology brought out by deep learning techniques, and Google says it will start feeding into weather information users see in search, Google Maps, and Gemini, as well as being available to users and researchers on Google’s cloud platforms. “This is going to be the first time…

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