The availability of large data sets and advances in computing power established Deep Learning (DL) as breakthrough technology for many of the hardest problems in speech, vision and natural language processing. The successful, learned approaches outperform their human-engineered counterparts in accuracy, throughput and flexibility. Many grand challenges in the geosciences share similar characteristics: A strong desire to gain scientific insight from a rapidly growing amount of available synthetic, observational and experimental data.
The interdisciplinary project Deep Learning for large scale seismic applications (DLseis) systematically tackles these challenges for a collection of demanding problems in seismic processing.
The scope of DLseis is three-fold, covering
- basic research in deep learning methods
- education and dissemination
- ready-to-use software for production.