Predictive analytics is used in meteorology primarily, but also healthcare and other industries where data is available to help determine and advise best next steps. Can it also be used to predict natural phenomenon’s like earthquakes? This interesting news came to us from KTLA out of Los Angeles in their article, “Earthquake researchers hope artificial intelligence could lead to prediction breakthrough.”

Researchers, including those at Los Alamos National Lab in New Mexico, are hoping tools like artificial intelligence (AI) and machine learning could lead to a seismic breakthrough.

Earthquake prediction, which requires determination of the time, location and size of an event before it begins, has had a long and controversial history. Tremendous effort has been expended in pursuing it, with occasional signs of hope. Ultimately the results are disappointing, leading many to conclude that short-term earthquake prediction is at best infeasible and perhaps impossible. It will be interesting to watch the progress of this project.

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Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

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