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Researchers trained machine learning on strain data from California's San Andreas Fault near Parkfield, discovering 92 slow-slip events linked to low-frequency earthquakes. The study in Nature Communications analyzed eight years of borehole strainmeter measurements. These slow slips may influence the timing of larger quakes, bringing seismologists closer to early warning signs.
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