Artificial Intelligence Nails Predictions of Earthquake Aftershocks

A machine-learning study that analysed hundreds of thousands of earthquakes beat the standard method at predicting the location of aftershocks. Scientists say that the work provides a fresh way of exploring how changes in ground stress, such as those that occur during a big earthquake, trigger the quakes that follow. It could also help researchers to develop new methods for assessing seismic risk. "We've really just scratched the surface of what machine learning may be able to do for aftershock forecasting," says Phoebe DeVries, a seismologist at Harvard University in Cambridge, Massachusetts. She and her colleagues report their findings on 29 August in Nature.