Scientists predict earthquakes by analyzing seismic activity patterns

Scientists developed a data-driven approach using machine learning to identify patterns in seismic activity that may precede major earthquakes. The method analyzes hidden patterns in earthquake catalogs, focusing on foreshock activity that occurred weeks or months before significant seismic events. This approach considers the interconnectedness of earthquakes. This research offers a new perspective on earthquake prediction, building on previous studies of landslide and volcanic eruption forecasting.