KRQE Blogs

Advanced Machine Learning Model Achieves 97.97% Accuracy in Earthquake Forecasting for High-Risk Areas

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

Study based on machine learning expands Yellowstone earthquake record by 10 times

The Yellowstone Caldera, spanning Wyoming, Idaho, and Montana, is among the most seismically active volcanic regions on Earth. A caldera forms when a volcano erupts, emptying the underlying magma ...
EurekAlert!

Towards better earthquake risk assessment with machine learning

“A building is only as strong as its foundation” is a common adage to signify the importance of having a stable and solid base to build upon. The type and design of foundation are important for ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
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 ...