Earthquake Prediction Innovation: Latest Breakthrough in Artificial Intelligence - Technology

earthquake prediction exploitation Artificial Intelligence

An earthquake in 2018 near Wasilla , Alaska , cause widespread damage and injury , highlight the need for better prediction method . Researchers at the University of Alaska Fairbanks have develop a new algorithm train on 30 old_age of earthquake data from Alaska and California to predict seismic event calendar_month in progress . Trsilo Girona from the UAF Geophysical Institute light-emitting_diode the survey , focus on detection anomalous behavior in seismic activity before major earthquake occur.

 While major earthquake look to semen out of nowhere , research_worker at the University of Alaska Fairbanks hope a new research method can aid prognosis them in the state calendar_month before they happen.

 Trsilo Girona with the UAF Geophysical Institute say he and other research_worker train an algorithm to analyze 30 old_age of earthquake data in Alaska and California.

The algorithm was able to identify form in seismic activity that could signal an impend earthquake , supply a potential discovery in earthquake prediction technology . However , Girona stress the need for extensive data set to train the algorithm effectively , modification its application to region with well - document earthquake record . Despite the challenge , the survey open new possibility for exploitation statistical anomaly to enhance earthquake prediction capability in the future.

promotion in Earthquake Detection Technology

Meanwhile , research_worker at the University of Berkeley , in collaboration with the California Governors Office of Emergency Services , have develop an advanced application name MyShake to detect earthquake in real_number - time . This crowdsourced detector collect gesture data from telephone across the West Coast , from California to Washington State , and send alert establish on the location of the telephone . Richard Allen , director of UC Berkeleys Seismology Lab , foreground the significance of exploitation Artificial intelligence in earthquake detection , emphasizing the potential to save life by supply early warnings.

 The sum of warning change from a few second to ten of second depend on the location of the earthquake and the handiness of telephone , state Richard Allen , PhD , the director of the University of California Berkleys Seismology Lab , who work in the development of the tech.

 In the case of Japan , the Japan Meteorological Agency publish a megaquake advisory during a 7.1 - magnitude earthquake , caution of a higher opportunity of another powerful earthquake . However , the agency clarify that earthquake prediction is not an demand science and warn against mislead information.

In China , a successful earthquake prediction test exploitation Army_Intelligence - establish technology exceed expectation , with an algorithm correctly predict 70 % of earthquake at least a week before they happen within 200 mile of their epicenter . Sergey Fomel , a geoscientist at the University of Texas at Austin , light-emitting_diode the test and foreground the promise consequence of exploitation Machine learning to detect statistical anomaly in seismic data . The success of the China experiment show the potential of artificial intelligence in better earthquake prediction accuracy , marker a significant promotion in earthquake detection technology.