Artificial Intelligence Predicts Earthquakes With Unprecedented Accuracy

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Artificial Intelligence Predicts Earthquakes With Unprecedented Accuracy
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An AI algorithm developed by the University of Texas successfully predicted 70% of earthquakes in a trial, showcasing potential improvements in earthquake preparedness and risk management. Its performance in an international competition highlights its accuracy and adaptability. Credit: SciTechDaily.com

Damage after a powerful earthquake in New Zealand in 2011. Researchers at UT Austin are working to forecast earthquakes with artificial intelligence. Credit: Flickr/Martin FluffThe AI was trained to detect statistical bumps in real-time seismic data that researchers had paired with previous earthquakes.

Once trained, the AI gave its forecast by listening for signs of incoming earthquakes among the background rumblings in the Earth. One of the next steps is to test the AI in Texas since the state experiences a high rate of minor- and some moderate-magnitude earthquakes. The bureau’s TexNet hosts 300 seismic stations and more than six years of continuous records, which makes it an ideal location to verify the method.

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