International scientists have utilized artificial intelligence to uncover over 86,000 previously undetected mini-earthquakes beneath Yellowstone volcano, analyzing 15 years of seismic data from 2008 to 2022. This machine-learning approach identified thousands of small seismic events, typically under magnitude 1.5, which were missed by routine monitoring systems. The study, published in Science Advances, revealed ten times more seismic activity than previously recorded and successfully relocated over 67,000 earthquakes, providing a more precise 3D map of their locations and depths. This breakthrough offers enhanced insight into Yellowstone's long-term behavior, particularly earthquake swarms potentially triggered by fluid movement deep within the Earth, and has implications for monitoring hidden seismic patterns globally.