AI-driven earthquake forecasting shows promise in trials

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A new attempt to predict earthquakes has raised hopes that artificial intelligence could one day be used to limit earthquakes’ impact on lives and economies. The AI algorithm correctly predicted 70% of earthquakes a week before they happened during a seven-month trial in China. The system is limited because the AI needs an extensive database and years of seismic recordings to train itself on, but researchers said the effort is nonetheless a milestone for AI-driven earthquake forecasting. Researchers will soon begin testing the system at other locations.

A new attempt to predict earthquakes with the aid of artificial intelligence has raised hopes that the technology could one day be used to limit earthquakes' impact on lives and economies. Developed by researchers at The University of Texas at Austin, the AI algorithm correctly predicted 70% of earthquakes a week before they happened during a seven-month trial in China.

"Predicting earthquakes is the holy grail," said Sergey Fomel, a professor in UT's Bureau of Economic Geology and a member of the research team."We're not yet close to making predictions for anywhere in the world, but what we achieved tells us that what we thought was an impossible problem is solvable in principle."

"We are very proud of this team and its first-place finish in this prestigious competition," said Scott Tinker, the bureau's director."Of course, it's not just location and magnitude, but timing that matters as well. Earthquake prediction is an intractable problem, and we can't overstate the difficulty."

Eventually, the researchers want to integrate the system with physics-based models, which could be important where data is poor, or places such as Cascadia, where the last major earthquake happened hundreds of years before seismographs.

 

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