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 forecasts for temperature, precipitation, wind patterns, and extreme weather events up to ten days in advance. Initial tests show the model reduces prediction errors by approximately 15% for key metrics like temperature and pressure systems. While promising, meteorologists note that integrating AI forecasts with established methods will be crucial for operational reliability. The technology could significantly improve early warning systems for severe storms and hurricanes. Read the full article at https://technologyreview.com/ai-weather-model-forecast-accuracy.