A team at Los Alamos National Laboratory used machine learning — an application of artificial intelligence — to detect the hidden signals that precede an earthquake. The findings at the Kīlauea ...
STATESBORO, Ga., Oct. 25, 2024 (GLOBE NEWSWIRE) -- Cemil Emre Yavas and his research team have achieved a remarkable 97.97% accuracy in earthquake prediction for Los Angeles, a high-risk seismic zone, ...
An international team of researchers recently examined the potential for new a model for predicting earthquake aftershocks using a subset of machine learning known as deep learning. While government ...
When talking about squeezing rocks together, Prof. Gregory McLaskey Ph.D ’05, civil engineering, gets a glimmer in his eyes. Using the world’s largest rock squeezing machine, McLaskey researches the ...
Scientists have built a lab model that visually tracks how microscopic contact points between fault surfaces evolve during earthquake cycles, revealing the hidden mechanics behind both the slow ...
Molten-detecting machines Prior to the application of machine learning, earthquakes were generally detected through manual inspection by trained experts. This process takes time, is cost-intensive and ...
This map depicts the predicted types of soil in Tokyo with an unprecedented level of detail. Such maps are essential for urban planning and earthquake risk assessment, as they reveal areas that are ...
Researchers used machine learning to reanalyze Yellowstone's historical earthquake data, revealing that humans may have missed a few things. reading time 2 minutes Before the advent of artificial ...
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