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

EPISODE · Oct 25, 2019 · 36 MIN

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

from The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) · host Sam Charrington

Today we are joined by Phoebe DeVries, Postdoctoral Fellow in the Department of Earth and Planetary Sciences at Harvard and Brendan Meade, Professor of Earth and Planetary Sciences at Harvard. Phoebe and Brendan’s work is focused on discovering as much as possible about earthquakes before they happen, and by measuring how the earth’s surface moves, predicting future movement location, as seen in their paper: ‘Deep learning of aftershock patterns following large earthquakes'.

Episode metadata supplied by the publisher feed · Published Oct 25, 2019

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

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