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Machine-learning competition to predict earthquakes

01.25.21 | Proceedings of the National Academy of Sciences

A Los Alamos National Laboratory-led machine learning competition involving simulated laboratory earthquake events attracted thousands and provided new earthquake insights to how faults cause earthquakes Credit: Image credit: Paul A. Johnson

In a Perspective, researchers report that a machine-learning competition to predict the timing of laboratory-generated earthquake simulations attracted more than 4,500 teams, and that the winning teams employed unexpected computational strategies that yielded insights into fault processes; the results suggest the value of engaging the machine-learning community through competitions in other scientific problems of significance.

Article #20-11362: "Laboratory earthquake forecasting: A machine learning competition," by Paul A. Johnson et al.

MEDIA CONTACT: Charles Poling, Los Alamos National Laboratory, NM; tel: 505-257-8007; email: cpoling@lanl.gov

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Proceedings of the National Academy of Sciences

Keywords

Earthquake Forecasting National Laboratories

Article Information

Journal

Proceedings of the National Academy of Sciences

Contact Information

Charles Poling

cpoling@lanl.gov

How to Cite This Article

APA:

Proceedings of the National Academy of Sciences. (2021, January 25). Machine-learning competition to predict earthquakes. Brightsurf News. https://www.brightsurf.com/news/1470R491/machine-learning-competition-to-predict-earthquakes.html

MLA:

"Machine-learning competition to predict earthquakes." Brightsurf News, Jan. 25 2021, https://www.brightsurf.com/news/1470R491/machine-learning-competition-to-predict-earthquakes.html.