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 system provides more accurate predictions for key atmospheric variables like temperature, pressure, and wind patterns across multiple global regions. While meteorologists note that AI models still face challenges with rare extreme weather events, the technology represents a significant advancement in forecasting speed and efficiency. Researchers emphasize that AI systems should complement rather than replace traditional models, particularly for long-term climate projections where physical understanding remains crucial. The development highlights the growing role of machine learning in environmental science and operational meteorology. Read the full article at https://technologyreview.com/ai-weather-model-forecast-accuracy.