Contrary to what you might have seen in the Rock’s movie “San Andreas,” we still can’t predict earthquakes. But there have been recent advances in seismology assisted by artificial intelligence. Researchers at Stanford used a deep-learning algorithm to detect more earthquakes in cities by filtering out the normal noise and vibrations of urban life. And a group at Penn State used machine learning to analyze simulated fault movements in the lab and look for indicators that could help predict an impending quake. Marketplace’s Meghan McCarty Carino speaks with Egill Hauksson, a research professor of geophysics at Caltech, who said these tools can give us a fuller understanding of earthquake patterns.