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Watch a 58-minute research presentation exploring the implementation of artificial intelligence in real-time earthquake monitoring systems. Learn how deep learning techniques have revolutionized seismic monitoring through improved accuracy in earthquake detection and wave arrival picking. Discover the development and deployment of a novel AI-facilitated monitoring framework at the Texas seismological network (TexNet), featuring the third-generation deep-learning phase picker EQCCT. Understand how this automated system helps manage the increasing seismic activity in West Texas related to oil and gas production, while significantly reducing the workload of network analysts. Follow along as Research Assistant Professor Yangkang Chen from the Bureau of Economic Geology at The University of Texas at Austin shares insights on bridging the gap between AI technology and practical seismological applications.
