32 citations · 97 across the 8 of their papers we have counts for
4 papers · 1 filter
Science Autonomy using Machine Learning for Astrobiology
Victoria Da Poian, Bethany Theiling, Eric Lyness +13
In recent decades, artificial intelligence (AI) including machine learning (ML) have become vital for space missions enabling rapid data processing, advanced pattern recognition, a…
The case for studying other planetary magnetospheres and atmospheres in Heliophysics
Ian J. Cohen, Chris Arridge, Abigail Azari +37
Heliophysics is the field that "studies the nature of the Sun, and how it influences the very nature of space - and, in turn, the atmospheres of planetary bodies and the technology…
Advancing the Scientific Frontier with Increasingly Autonomous Systems
Rashied Amini, Abigail Azari, Shyam Bhaskaran +19
A close partnership between people and partially autonomous machines has enabled decades of space exploration. But to further expand our horizons, our systems must become more capa…
Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade
Abigail R. Azari, John B. Biersteker, Ryan M. Dewey +13
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…