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 ...

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 ...

Researchers used machine learning to reanalyze Yellowstone's historical earthquake data, revealing that humans may have missed a few things. Reading time 2 minutes Before the advent of artificial ...

When the biggest earthquake in more than a decade rattled Russia's remote Kamchatka Peninsula in July, seismologists around the world knew within moments. For earthquakes big or small, sensors around ...

The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 earthquakes, according to a unique machine learning study that identified the ...

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, ...

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 ...

On January 1, 2008, at 1:59 am in Calipatria, California, an earthquake happened. You haven’t heard of this earthquake; even if you had been living in Calipatria, you wouldn’t have felt anything. It ...

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 ...

Computer models that factor in the Sun's impact on Earth's surface temperatures are providing more accurate simulations of past earthquakes. Reading time 2 minutes Seismologists know a lot about the ...

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 ...

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 ...