A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior accuracy compared to current state-of-the-art systems. The model, named GraphCast, uses machine learning to analyze decades of historical weather data and can generate a 10-day global forecast in under a minute on a single desktop computer. In head-to-head tests, GraphCast outperformed the European Centre for Medium-Range Weather Forecasts’ high-resolution system—considered the gold standard—in over 90% of 1,380 test variables, including critical predictions for extreme weather events like tropical cyclones and atmospheric rivers. Researchers emphasize that AI models like GraphCast are not replacements for traditional physics-based systems but rather powerful complementary tools that could significantly improve early warning systems and disaster preparedness. The model has been made openly available to the scientific community to support further research and development in meteorological AI. For the full details, read the complete article at https://technologyreview.com/2024/11/14/ai-weather-model-outperforms-traditional-systems/.