Skip to main content
SearchLogin or Signup

Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade

Whitepaper #128 submitted to the Planetary Science and Astrobiology Decadal Survey 2023-2032. Topics: state of the profession; technology development; theory, computation, and modeling

Published onMar 18, 2021
Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade

Machine learning (ML) methods can expand our ability to construct, and draw insight from large datasets. Despite the increasing volume of planetary observations, our field has seen few applications of ML in comparison to other sciences. To support these methods, we propose ten recommendations for bolstering a data-rich future in planetary science.


Comments
0
comment

No comments here