Published in Geophysical Research Letters · View the paper (DOI)
A computer science approach using machine learning predicts the time remaining before a fault fails by analyzing acoustic signals emitted during laboratory-created earthquakes. The technique identifies new signals, previously thought to be low-amplitude noise, that provide forecasting information throughout the earthquake cycle.
Coverage from 2 institutions
- Machine-learning earthquake prediction in lab shows promise DOE/Los Alamos National Laboratory · Aug 30, 2017 · first to report
- Machine learning used to predict earthquakes in a lab setting University of Cambridge · Oct 22, 2017