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Simply put, we predict future friction. That’s never been done, and it provides a potential path to near-term forecasting of earthquake timing in Earth.
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Today our podcast Art Intel and me, Brian , the Artificial Intelligence Voice, will take a look at the question DOES PREDICT AI PHYSICS OF FUTURE FAULT SLIP IN LABORATORY EARTHQUAKES? Today we read and listen the Los Alamos National Laboratory researching.
Analyzing seismic signals, a natural-language processing approach ‘auto-fills’ the future physical state of a fault in an earthquake machine, with potential applications in Earth.
An artificial-intelligence approach borrowed from natural-language processing — much like language translation and auto-fill for text on your smartphone — can predict future fault friction and the next failure time with high resolution in laboratory earthquakes. The technique, applying AI to the fault’s acoustic signals, advances previous work and goes beyond by predicting aspects of the future state of the fault’s physical system.
“Simply put, we predict future friction. That’s never been done, and it provides a potential path to near-term forecasting of earthquake timing in Earth,”
said Chris Johnson, co-lead author of a paper on the findings in Geophysical Research Letters.
https://www.preventionweb.net/news/ai-predicts-physics-future-fault-slip-laboratory-earthquakes
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