Month: June 2021

Reading about Machine Learning in Seismology

I’ve been slow to fully embrace machine learning in my research, but it’s rapidly becoming an important tool for seismological research. Recent papers in seismology, especially on the application of deep neural networks for automating seismic phase identification, picking, and association, have produced some really impressive results. In addition, it’s pretty clear that machine learning […]

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