Using artificial intelligence, researchers at Google and Harvard have developed a AI that can predict earthquake aftershocks.
In a paper published in the journal Nature this week, researchers show how deep learning can help predict aftershock locations more reliably than existing models. Scientists trained a neural network to look for patterns in a database of more than 131,000 “mainshock-aftershock” events, before testing its predictions on a database of 30,000 similar pairs
Despite the accuracy compared to Coulomb’s forecast method, the AI system is not completely ready. Researchers note that the system counts only one type of aftershock triggering when predicting, rather than accounting for static and dynamic stress changes.