A new artificial intelligence weather forecasting model developed by researchers has demonstrated superior accuracy compared to conventional physics-based systems in global weather prediction. The AI model, 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-to-7-day forecast window. While promising, meteorologists note that AI models must still prove their reliability in predicting extreme weather events and integrating real-time observational data. The development signals a potential shift in operational forecasting as technology companies and weather agencies invest heavily in machine learning approaches. Read the full article at https://technologyreview.com/2024/05/ai-weather-model-forecast-accuracy.