“Three new papers describe deep-learning models that perform better than a conventional state-of-the-art model for forecasting earthquakes.

The findings are preliminary and apply only to limited situations, such as in assessing the risk of aftershocks after a ‘big one’ has already hit. But they are a rare advance towards the long-sought goal of harnessing the power of machine learning to reduce seismic risk.”

From Nature.