Researchers are exploring the use of artificial intelligence and machine learning to improve global weather forecasting, including the prediction of severe weather events and long-range precipitation. Various frameworks and models are being developed, including hybrid approaches that combine low-resolution dynamical cores with neural operators, to enhance the accuracy of weather predictions. The role of AI in weather forecasting is seen as a key factor in mitigating the impacts of climate change, with potential applications in simulating precipitation, predicting extreme weather events, and informing policy decisions.