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30 August 2017
By listening to the acoustic signal emitted by a laboratory-created earthquake, a computer science approach using machine learning can predict the time remaining before the fault fails. Not only does the work have potential significance to earthquake forecasting, but the approach is far-reaching, applicable to potentially all failure scenarios, including avalanches and other events.
19 December 2014
Scientists have used satellites to more accurately measure the slow creep of land along the Calaveras and Hayward faults east of the San Francisco Bay, a finding that helped the researchers estimate the magnitude of future earthquakes. Both the Calaveras and Hayward faults are part of the San Andreas system, which sits at the boundary of two massive slabs of the Earth’s crust called the North American and Pacific plates. The plates slide slowly past one another, sometimes getting stuck and then slipping, releasing energy and causing the Earth to shake. Along the Calaveras and Hayward faults—smaller cracks on top of the plates—the land also moves steadily, a movement that geologists call creep