Can AI predict (and control) the weather? w/ Dion Harris and Tapio Schneider
The TED AI Show
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AI and Climate Modeling: A New Era
This chapter explores the evolution of artificial intelligence in climate modeling, emphasizing the transition from conventional methodologies to the incorporation of vast data sources. It highlights the critical role of machine learning in enhancing predictive accuracy for climate risks and addressing small-scale phenomena, while also discussing the challenges of grounding these models in physical laws. By focusing on localized, actionable predictions, the chapter underscores the importance of integrating advanced AI techniques to inform climate resilience strategies.
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