The pursuit of reliable earthquake forecasting – Camilla Cattania for Physics Today
Earthquake forecasting – or the ability to describe the probabilities of earthquakes occurring in a region in a specific time frame – has remained a difficult feat to achieve due to several reasons. Recent advances in machine learning, however, may help overcome obstacles, such as minimal historical data to train models on. In this article published in Physics Today, EAPS Professor Camilla Cattania, along with Professors S. Mostafa Mousavi and Gregory C. Beroza discuss the possible advancements and problems through use of Artificial Intelligence.
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