Using machine learning algorithms to recognize specific patterns in seismic activity data and study how fault activity evolves over time: this is the objective of a study recently published in Nature Communications involving the National Institute of Oceanography and Applied Geophysics – OGS together with the University of Genoa and other international scientific institutions, including the Helmholtz Centre for Geosciences, RWTH Aachen University, University of Potsdam, Free University of Berlin, and Stanford University.
More news
