Earthquakes: the use of artificial intelligence for the study of seismic sequences

A recent study by OGS and INGV integrates a machine learning algorithm in the analysis of seismic sequences to evaluate the probability of strong replications.

An algorithm for the probabilistic evaluation of strong replicas based on data and information from the California seismic catalogs: this is the focus of the new study by Stefania Gentili from OGS and Rita Di Giovambattista from the Istituto Nazionale di Geofisica e Vulcanologia (INGV), recently published in Physics of the Earth and Planetary Interiors.