Russia reported that scientists from the Far Eastern Federal University have tested a neural network that recognizes earthquakes. The algorithm was created together with Chinese colleagues and filters out human‑made noise while analyzing physical processes in the Earth’s crust. The network does not need large computing resources and can generate more precise acoustic data and 2D‑ and 3D‑maps of geological structures. In the future such a system could be used to find mineral deposits and assess soil before construction.

According to experts, the method simplifies fieldwork for geologists and reduces expenses for resource‑intensive surveys. By removing anthropogenic interference, the network provides clearer signals that help in mapping subsurface layers accurately. This can speed up exploration projects and improve safety assessments for new building sites.

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