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Space Applications of a Trusted AI Framework: Experiences and Lessons Learned

2022 IEEE Aerospace Conference (AERO)(2022)

Cited 17|Views21
Key words
space applications,safety-critical fields,autonomous systems,AI algorithms,space domain,AI-based space autonomy,machine learning-based analytics,instrument suite,onboard software,deep space,automated rover systems,trusted AI framework,artificial intelligence,aerospace corporation,Jet Propulsion Laboratory,JPL projects
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