University of California

Los Alamos machine learning model takes a big step forward in predicting earthquakes

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 ...
MarketWatch

Groundbreaking Machine Learning Model Achieves 97.97% Accuracy in Earthquake Prediction for Los Angeles

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, ...
Labroots

The Future of Earthquake Forecasting: Deep Learning and the RECAST Model

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 ...
The Cornell Daily Sun

Earthquake-Simulating Machine Leads Cornell Prof. Gregory McLaskey ’05 to National Award

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 ...
EurekAlert!

Machine learning sharpens earthquake risk assessment maps for Tokyo

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 ...