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Deep Learning for Earthquake Aftershock Patterns with Phoebe DeVries & Brendan Meade - #311

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Advancements in Earthquake Modeling: From High-Performance Computing to Neural Networks

This chapter explores the shift from high-performance computing to neural networks in predicting earthquake aftershocks. It highlights the advantages of using neural networks for faster and accurate modeling by leveraging geological data.

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