What did AI discover under Yellowstone National Park?

AI discovered over 86,000 previously undetected tiny earthquakes beneath the Yellowstone supervolcano, revealing hidden seismic patterns.

Are the new Yellowstone earthquakes a sign of an eruption?

No, the study indicates these swarms are mostly driven by water and steam, not rising magma, and show no signs of an impending eruption.

How will the Yellowstone AI breakthrough help predict disasters?

The AI's ability to detect subtle seismic patterns can serve as an early warning system for future volcanic eruptions and fault line ruptures globally.

Home / Science / AI Uncovers 86,000 Hidden Quakes Under Yellowstone

AI Uncovers 86,000 Hidden Quakes Under Yellowstone

3 Dec

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Summary

AI identified 86,000 previously undetected earthquakes.
Most hidden quakes were water/steam-driven swarms.
AI breakthrough can help predict future volcanic dangers.

AI Uncovers 86,000 Hidden Quakes Under Yellowstone

Tens of thousands of previously undetected earthquakes beneath Yellowstone's supervolcano have been revealed through the use of artificial intelligence. An international research team employed AI to analyze 15 years of seismic recordings, discovering approximately 86,000 tiny tremors that human experts had missed. This finding represents a tenfold increase in the known seismic activity of the region.

The AI analysis showed that over half of these newly discovered earthquakes occurred in interconnected groups known as swarms. These swarms were predominantly driven by hot underground water and steam moving through geological fissures, rather than by rising lava. This distinction is vital for understanding the volcano's current state, with no indications of an imminent eruption.

This AI-powered seismic analysis marks a significant advancement, creating a detailed 'fingerprint' of Yellowstone's normal activity. Scientists anticipate this methodology will be critical for detecting subtle, early warning signs of danger at other volcanoes and fault lines worldwide, potentially improving prediction and preparedness for natural disasters.

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