SOURCE-LINKED INTELLIGENCE
Space Generative AI with Solar Energy Harvesting
Satellites are emerging as promising platforms to extend generative \emph{artificial intelligence} (AI) services to remote areas lacking terrestrial infrastructure. However, deploying space generative AI is fundamentally constrained by the limited, time-varying onboard energy supplied by solar \emph{energy harvesting} (EH). This paper presents a framework for solar-powered space generative AI in which a satellite receives a user prompt, executes a diffusion-based image-generation model, and downlinks the compressed result within a strict time window. We identify the fundamental \emph{computati
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T10:58:15.000Z
First collected: 2026-09-21T06:11:57.537Z. This is not the publication date.