![The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) artwork](https://is1-ssl.mzstatic.com/image/thumb/Podcasts113/v4/39/58/c6/3958c6ce-86e4-3b80-bfb9-840e1dfd7e4b/mza_491361902049110775.png/100x100bb.jpg)
Deep Learning for Earthquake Aftershock Patterns with Phoebe DeVries & Brendan Meade - #311
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
English - October 25, 2019 17:35 - 36 minutes - ★★★★★ - 323 ratingsTechnology News Tech News machinelearning artificialintelligence datascience samcharrington tech technology thetwimlaipocast thisweekinmachinelearning twiml twimlaipodcast Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Live from TWIMLcon! Operationalizing Responsible AI - #310
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'.