Geoscientists are training computers to learn from a wide range of geologic data and, in the process, the machines are teaching geoscientists about the workings of Earth.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Rent or buy this article
Prices vary by article type
from$1.95
to$39.95
Prices may be subject to local taxes which are calculated during checkout
References
Machine Learning in Solid Earth Geosciences (Center for Nonlinear Studies, Los Alamos National Laboratory, 2018); https://go.nature.com/2GFLYO0
Rouet-Leduc, B. et al. Geophys. Res. Lett. 44, 9276–9282 (2017).
Rouet-Leduc, B. et al. Geophys. Res. Lett. 45, 1321–1329 (2018).
Valera, M. et al. Computat. Geosci. http://doi.org/cm3q (2018).
Karra, S., O’Malley, D., Hyman, J. D., Viswanathan, H. S. & Srinivasan, G. Phys. Rev. E 97, 033304 (2018).
Yu, C., Day, E. A., de Hoop, M. V., Campillo, M. & van der Hilst, R. D. J. Geophys. Res. Solid Earth 122, 10364–10378 (2017).
Kuhn, S., Cracknell, M. & Reading, A. ASEG Extended Abstracts http://doi.org/cm3r (2018).
Cracknell, M. J. & Reading, A. M. Computat. Geosci. 63, 22–33 (2014).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Marone, C. Training machines in Earthly ways. Nature Geosci 11, 301–302 (2018). https://doi.org/10.1038/s41561-018-0117-5
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41561-018-0117-5
This article is cited by
-
Use machines to tame big data
Nature Geoscience (2019)