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18min chapter
AI’s breakthrough in weather forecasting with Brightband’s Julian Green
Gradient Dissent: Conversations on AI
AI in Weather Forecasting: Challenges and Innovations
This chapter explores the integration of AI technologies in weather forecasting, discussing the costs and benefits of utilizing vast data resources. It highlights advancements in numerical modeling, including the evolution of transformer-like architectures and their impact on prediction accuracy. Additionally, the conversation addresses the intersection of AI with climate change, emphasizing the importance of efficient resource use and ethical considerations in forecasting practices.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode