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Explore a groundbreaking talk on weather forecasting using deep learning, focusing on the MetNet-3 model developed by Google DeepMind. Delve into the critical importance of accurate weather predictions for various sectors, including agriculture, energy, aviation, and disaster management. Discover how advancements in machine learning and artificial intelligence are revolutionizing traditional forecasting methods. Learn about neural network-based approaches that outperform conventional techniques, and understand their potential implications for improved proactive planning and risk mitigation. Gain insights into the paradigm shift occurring in weather forecasting and its far-reaching impact on society, the economy, and the environment.
Syllabus
Lasse Espeholt - Weather Forecasting using Deep Learning - A paradigm shift (MetNet-3)
Taught by
DataLearning@ICL