AI surpasses current weather forecasts.

The article discusses the advancements in weather forecasting accuracy through the use of an AI model named Aurora, which has been reported to outperform traditional prediction systems. Unlike conventional methods that rely on complex mathematical equations and require extensive computational time, Aurora utilizes machine learning to analyze vast datasets, enabling it to make predictions more efficiently. In tests, Aurora demonstrated a 20 to 25 percent increase in accuracy for cyclone predictions compared to major forecasting centers, successfully predicting the track of Typhoon Doksuri four days in advance. The model also shows promise in predicting air pollution and ocean waves, marking a significant step forward in high-resolution weather forecasting. [Extracted from the article]