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, ...

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 ...

Georgia Southern University researchers develop a machine learning model with 97.97% accuracy in earthquake forecasting. STATESBORO, GA, UNITED STATES, October 29 ...

For more than 30 years, the models that researchers and government agencies use to forecast earthquake aftershocks have remained largely unchanged. While these older models work well with limited data ...

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 ...

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 are applying artificial intelligence and other techniques in the quest to forecast quakes in time to help people find safety. In September 2017, about two minutes before a magnitude 8.2 ...