Machine Learning Detects Earthquakes

A recent machine learning study published on Phys.org Earth Sciences has revealed that the 2025 Santorini seismic crisis comprised over 60,000 earthquakes. The study, which analyzed seismic activity between December 2024 and June 2025, demonstrates the potential of machine learning in enhancing our understanding of geological events. This technology can be particularly useful in mineral exploration, as it can help identify areas of seismic activity that may be indicative of underlying geological structures. According to the study, the machine learning algorithm was able to detect earthquakes as they occurred, providing valuable insights into the seismic crisis. This breakthrough has significant implications for the mining industry, as it can inform exploration strategies and improve our understanding of the geological processes that shape the Earth's surface.