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Google's Project Suncatcher explores using space solar energy to power AI data centers, aiming to provide efficient and scalable compute for AI by leveraging orbital solar panels and satellite networks.
This paper proposes a task-driven three-layer distributed scheduling method for emergency Earth observation in large low-Earth-orbit constellations, achieving higher emergency coverage and lower routine-plan disruption compared to existing methods.