Part 9/14:
One promising frontier is leveraging artificial intelligence (AI), machine learning, and deep learning to analyze vast seismic datasets. These tools may help identify patterns or subtle signals that human analysts cannot detect. For example, AI systems trained on long-term radon measurements, electromagnetic variations, and gravity data aim to improve short-term prediction accuracy.
Seismologists are optimistic that, with continued research, AI could pinpoint potential earthquake hotspots within a certain radius—possibly within 100 to 200 kilometers—and predict the timing or magnitude better than current methods allow. This fusion of technology and geology represents a crucial step forward in earthquake science, moving from speculation to reliable early-warning systems.