SM
Seismology

Seismology

Marsquake Detection with Machine Learning Methods

Marsquake Detection with Machine Learning Methods

We interview Nikolaj Dahmen, a PhD student at ETH Zurich’s Institute of Geophysics, about how he uses Machine Learning methods to detect Marsquakes using data from NASA’s InSight Mission…. Why are marsquakes important to detect? Marsquakes generate seismic waves that travel from its source through the interior of the planet. The recordings of these waves carry information about the medium through ...[Read More]

Opinion: self-supervised Machine Learning in seismology

Opinion: self-supervised Machine Learning in seismology

Martijn van den Ende, a Postdoctoral research fellow at Université Côte d’Azur, writes about his thoughts on the state of Machine Learning in seismology… At this moment of writing, it is unlikely that any experienced seismologist is unaware of the recent advancements of Machine Learning (ML) methods in Earth Sciences. Some pioneering studies started paving the way for ML in the early 1 ...[Read More]