AI is changing the game in seismology by revealing hidden earthquake patterns, but predicting the exact time of an earthquake remains a challenge.
Artificial intelligence is revolutionizing seismology, revealing hidden earthquake patterns and aiding in the prediction of future events. Although AI has made significant strides in analyzing seismic data, the complex nature of Earth's structures prevents precise predictions of when an earthquake will occur.
Recent advancements by Professor Zachary Ross at Caltech demonstrate how machine learning algorithms can identify previously undetected micro-quakes and map fault networks with unprecedented accuracy. This allows scientists to estimate the probability of earthquakes in specific regions, similar to weather forecasting. While AI cannot pinpoint the exact time of an earthquake, it offers valuable insights into seismic activity and the potential for future disasters
Artificial Intelligence Seismology Earthquake Prediction Machine Learning Fault Mapping
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