What’s the connection between novel generative image models and seismic denoising? Daniele Trappolini from Sapienza Università di Roma has led an effort to utilise these exciting techniques for seismological applications. This blog post will give a beginner-friendly introduction to generative modelling and ‘diffusion’ models, before explaining how Daniele and his group have been using them to …[Read More]
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 …[Read More]
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 …[Read More]
