Google DeepMind released WeatherNext, a model that increases the accuracy of cyclone track predictions. It outperforms traditional numerical weather prediction systems by processing historical atmospheric data faster. This reduces computation costs for meteorologists. Practitioners can now generate high-resolution forecasts in seconds rather than hours, enabling faster evacuation warnings during severe storms.