A new artificial intelligence weather forecasting model developed by researchers has demonstrated superior accuracy compared to conventional physics-based models in global weather prediction. The AI system, trained on decades of historical weather data, can generate high-resolution 10-day forecasts in minutes on standard computing hardware, a task that typically requires hours on supercomputers using traditional methods. Initial testing shows the model provides more accurate predictions for key atmospheric variables, including temperature, pressure, and wind patterns, particularly in the critical 3-7 day forecast range. While promising, researchers note that further validation is needed for extreme weather events, and the technology is seen as complementary to existing forecasting systems rather than a replacement. Read the full article at https://technologyreview.com/ai-weather-model-forecast-accuracy.