Machine Learning Predicts Laboratory Earthquakes

19 Feb 2017Bertrand Rouet-LeducClaudia HulbertNicholas LubbersKipton BarrosColin HumphreysPaul A. Johnson

Forecasting fault failure is a fundamental but elusive goal in earthquake science. Here we show that by listening to the acoustic signal emitted by a laboratory fault, machine learning can predict the time remaining before it fails with great accuracy... (read more)

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