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1 to 10 of 29 Results
ML-ready Dataset for Identification of Frost in Martian HiRISE Images
ML-ready Dataset for Identification of Frost in Martian HiRISE Images
Nov 17, 2023
Wronkiewicz, Mark; Diniega, Serina; Doran, Gary; Lu, Steven; Wagstaff, Kiri; Widmer, Jake; Rebbapragada, Umaa, 2023, "ML-ready Dataset for Identification of Frost in Martian HiRISE Images", https://doi.org/10.48577/jpl.QJ9PYA, JPL Open Repository
This dataset was created to study Mars' seasonal frost cycle and its role in the planet's climate and surface evolution over the past ~2 billion years. Scientists are interested in identifying low-latitude frosted microclimates and their impact on climate, and future exploration...
Replication Data for Cloudspotting on Mars Citizen Science Cloud Centroids for Mars Year 29
Aug 8, 2023
Slipski, Marek; Kleinböhl, Armin; Dillmann, Steven; Kass, David; Reimuller, Jason; Wronkiewicz, Mark; Doran, Gary, 2023, "Replication Data for Cloudspotting on Mars Citizen Science Cloud Centroids for Mars Year 29", https://doi.org/10.48577/jpl.UXMDDK, Icarus, JPL Open Repository, UNF:6:2hikn9e9b4moV20P0qLeWg== [fileUNF]
This dataset contains the times and locations of clouds identified in Mars’s atmosphere through the Cloudspotting on Mars Citizen Science Project in data acquired during Mars Year 29 (2007-2009). Cloudspotting on Mars is a NASA project on Zooniverse (https://www.zooniverse.org/pr...
Space Applications of a Trusted AI Framework: Experiences and Lessons Learned
Mar 5, 2022
Mandrake, Lukas; Doran, Gary; Goel, Ashish; Ono, Hiro; Amini, Rashied; Feather, Martin; Fesq, Lorraine M; Slingerland, Philip; Perry, Lauren; Bycroft, Benjamen; Kaufman, James, 2022, "Space Applications of a Trusted AI Framework: Experiences and Lessons Learned", https://hdl.handle.net/2014/55068, 2022 IEEE Aerospace Conference, Big Sky, Montana, March 5-12, 2022, JPL Open Repository
Artificial intelligence (AI), which encompasses machine learning (ML), has become a critical technology due to its well-established success in a wide array of applications. However, the proper application of AI remains a central topic of discussion in many safety-critical fields....
Adapting a Trusted AI Framework to Space Mission Autonomy
Mar 5, 2022
Slingerland, Philip; Perry, Lauren; Kaufman, James; Bycroft, Benjamen; Linstead, Erik; Mandrake, Lukas; Doran, Gary; Goel, Ashish; Feather, Martin; Fesq, Lorraine; Ono, Hiro; Amini, Rashied, 2022, "Adapting a Trusted AI Framework to Space Mission Autonomy", https://hdl.handle.net/2014/55953, 2022 IEEE Aerospace Conference, Big Sky, Montana, March 5-12, 2022, JPL Open Repository
As artificial intelligence (AI) is increasingly pro- posed for new and future capabilities in space missions, the question of how to trust AI-enabled space autonomy has been explored. Recently, a collaboration between The Aerospace Corporation (Aerospace) and NASA’s Jet Propulsio...
Explainable Discovery for Planetary Science and Exploration
Sep 23, 2021
Wagstaff, Kiri; Bornstein, Ben; Doran, Gary; Estlin, Tara; Gaines, Dan; Lee, Jake, 2021, "Explainable Discovery for Planetary Science and Exploration", https://hdl.handle.net/2014/55602, Explainable AI Virtual Workshop, Pasadena, California, September 23, 2021, JPL Open Repository
No abstract provided
Trustable AI/ML-Based Autonomy for Flight Infusion and Science Service
Aug 11, 2021
Doran, Gary; Goel, Ashish; Fesq, Lorraine; Mandrake, Lukas; Ono, Hiro; Amini, Rashied; Feather, Martin; Slingerland, Phil; Nemerouf, Michael; Linstead, Erik; Bycroft, Ben; Kaufman, James; Perry, Lauren, 2021, "Trustable AI/ML-Based Autonomy for Flight Infusion and Science Service", https://hdl.handle.net/2014/55626, JPL/Aerospace Autonomy Seminar Series, Pasadena, California, August 11, 2021, JPL Open Repository
No abstract provided
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances
Feb 4, 2021
Wagstaff, Kiri; Lu, Steven; Dunkel, Emily; Grimes, Kevin; Zhao, Brandon; Cai, Jesse; Cole, S. B.; Doran, Gary; Francis, Raymond; Lee, Jake; Mandrake, Lukas, 2021, "Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances", https://hdl.handle.net/2014/53279, IAAI-21 The Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence, Pasadena, California, February 4-6, 2021, JPL Open Repository
The NASA Planetary Data System hosts millions of images acquired from the planet Mars. To help users quickly find images of interest, we have developed and deployed contentbased classification and search capabilities for Mars orbital and surface images. The deployed systems are p...
Content-based On-board Summarization to Monitor Infrequent Change
Nov 2, 2020
Mandrake, Lukas; Doran, Gary; Liukis, Masha; Lu, Steven; Rebbapragada, Umaa; Young, Jimmie; Wagstaff, Kiri, 2020, "Content-based On-board Summarization to Monitor Infrequent Change", https://hdl.handle.net/2014/53728, 2020 RPC, Pasadena, California, November 2, 2020, JPL Open Repository
No abstract provided
Machine Learning for Space and Planetary Exploration
Sep 4, 2020
Wagstaff, Kiri; Bell III, James F.; Bornstein, Ben; Cameron, Marissa; Doran, Gary; Daubar, Ingrid; Estlin, Tara; Francis, Raymond; Gaines, Dan; Kerner, Hannah; Lu, Steven; Nerrise, Favour; Phillips, Cynthia; Rebbapragada, Umaa; Verma, Vandi; Wissler, Steve, 2020, "Machine Learning for Space and Planetary Exploration", https://hdl.handle.net/2014/54014, Space and Artificial Intelligence, Pasadena, California, September 4, 2020, JPL Open Repository
No abstract provided
COSMIC: Content-based Onboard Summarization to Monitor Infrequent Change
Mar 7, 2020
Doran, Gary; Lu, Steven; Liukis, Maria; Mandrake, Lukas; Rebbapragada, Umaa; Wagstaff, Kiri L.; Young, Jimmie; Langert, Erik; Braunegg, Anneliese; Horton, Paul; Jeong, Daniel; Trockman, Asher, 2020, "COSMIC: Content-based Onboard Summarization to Monitor Infrequent Change", https://hdl.handle.net/2014/52695, 2020 IEEE Aerospace Conference, Big Sky, Montana, March 7-14, 2020, JPL Open Repository
No abstract provided
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