A map of earthquakes of magnitude 7.0 or higher between 1900 and 2013. Bigger dots represent stronger quakes, and red dots represent shallow earthquakes, green dots mid-depth, and blue dots represent ...

Phil Goldstein is a former web editor of the CDW family of tech magazines and a veteran technology journalist. He lives in Washington, D.C., with his wife and their animals: a dog named Brenna and two ...

In the aftermath of the devastating earthquakes in Turkey, a team of researchers led by Yuval Reuveni from the department of physics at Ariel University has published a paper about a promising new way ...

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 ...

In a new study, published July 18 in the high impact journal Science Advances, Western engineering professor Bing Li and his collaborators at Universidad Industrial de Santander (Industrial University ...

Harnessing AI to uncover hidden earthquake signals, offering crucial insights months before disaster strikes. In an article recently published in the journal Nature Communications, researchers ...

In a new study, researchers show that machine learning algorithms could pick out different types of earthquakes from three years of earthquake recordings at The Geysers in California, a major ...

For insurers, separating earthquake damage from fire damage has historically been a challenge, especially in wildfire-prone ...

Machine-learning research reveals the detection of seismic signals accurately predicting the Cascadia fault's slow slippage, a type of failure observed to precede large earthquakes in other subduction ...

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 ...