Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...

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 ...

“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 ...

This month’s 9.0 earthquake and tsunami in Japan could disrupt sales for Irvine-based Edwards Lifesciences Corp. and other American medical device makers, some of which also are likely to see ...

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 ...

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 ...

A significant earthquake was felt across Taiwan, with a magnitude of 4-5 in the north of Hsinchu and approximately 4 in Taichung. The highest intensity recorded was 6, centered in Taichung. Leading ...

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 ...