
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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