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AI Predicts Aftershocks in Seconds!
25 Nov
Summary
- AI models forecast aftershock risk within seconds after major quakes.
- New AI tools show comparable quality to existing systems but are much faster.
- AI's rapid forecasting aids public safety and resource allocation decisions.

Researchers have developed advanced AI forecasting tools capable of predicting aftershock risk seconds after an initial earthquake. These machine learning models, trained on global earthquake data from regions like California and Japan, demonstrate a remarkable ability to forecast aftershock frequency within 24 hours for quakes magnitude 4 and above.
This groundbreaking technology offers a significant speed advantage over conventional forecasting systems, such as the ETAS model. While ETAS can take hours or days to produce results on a single computer, the AI models deliver forecasts almost instantaneously, significantly reducing computational cost.
The rapid, high-resolution earthquake catalogues generated by AI will enhance the monitoring and understanding of seismic crises. These swift forecasts can empower authorities to implement timely public safety measures and efficiently allocate resources in regions impacted by earthquakes.




