A new study demonstrates that artificial intelligence models can generate highly accurate weather forecasts much faster than traditional physics-based systems. The research, published in Science, shows AI systems trained on decades of historical weather data can predict global weather patterns up to 10 days in advance with accuracy comparable to conventional models, while requiring only minutes to produce forecasts instead of hours. The AI approach analyzes vast datasets to identify complex atmospheric patterns, potentially offering more timely warnings for extreme weather events. However, researchers note that long-term reliability and integration with existing forecasting infrastructure require further development. Read the full article at https://sciencedaily.com/releases/2024/05/240509155854.htm.