MACHINE LEARNING

Training machines in Earthly ways

Article metrics

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.

Access optionsAccess options

Rent or Buy article

Get time limited or full article access on ReadCube.

from$8.99

All prices are NET prices.

Fig. 1: Machines trained in the geosciences.

Image courtesy of J. Hyman, Los Alamos National Laboratory

References

  1. 1.

    Machine Learning in Solid Earth Geosciences (Center for Nonlinear Studies, Los Alamos National Laboratory, 2018); https://go.nature.com/2GFLYO0

  2. 2.

    Rouet-Leduc, B. et al. Geophys. Res. Lett. 44, 9276–9282 (2017).

  3. 3.

    Rouet-Leduc, B. et al. Geophys. Res. Lett. 45, 1321–1329 (2018).

  4. 4.

    Valera, M. et al. Computat. Geosci. http://doi.org/cm3q (2018).

  5. 5.

    Karra, S., O’Malley, D., Hyman, J. D., Viswanathan, H. S. & Srinivasan, G. Phys. Rev. E 97, 033304 (2018).

  6. 6.

    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).

  7. 7.

    Kuhn, S., Cracknell, M. & Reading, A. ASEG Extended Abstracts http://doi.org/cm3r (2018).

  8. 8.

    Cracknell, M. J. & Reading, A. M. Computat. Geosci. 63, 22–33 (2014).

Download references

Author information

Correspondence to Chris Marone.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Further reading