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 ...

Machine learning is transforming data-heavy fields across the sciences, and seismology is no exception. Several machine learning methods have emerged for earthquake detection, phase identification, ...

Add Yahoo as a preferred source to see more of our stories on Google. The Yellowstone Caldera, spanning Wyoming, Idaho, and Montana, is among the most seismically active volcanic regions on Earth. A ...

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 ...

Artificial intelligence can diagnose cancer, forecast cyclones, translate languages and even help spacecraft navigate ...

"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 ...

Tokyo, one of the world's most densely populated megacities, sits on a highly active seismic zone where the threat of major earthquakes is ever-present. One of the most destructive aspects of seismic ...

Machine learning has emerged as a transformative approach for enhancing the forecasting of seismic events, offering the ability to discern subtle patterns within vast geophysical datasets. Traditional ...

Utah State University Geosciences faculty member Srisharan Shreedharan, right, prepares for an experiment with graduate students, from left, Kwabena Poku-Agyemang and Alejandro Aguilar, using a custom ...

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 ...