Low Earth Orbit (LEO) has become a hot topic in recent years and KubeEdge has managed to bring the cloud native to the space. With several small research satellite equipped with KubeEdge, edge computing with AI was experimented at the furthest frontier. In this talk we will present how we combine KubeEdge Sedna, the cloud native edge machine learning suite, with TinyMS which is a high level API toolkit for MindSpore deep learning framework, to enable incremental learning at the satellite to accomplish tasks like remote sensing and earth observing. We will also discuss how utilize TinyMS that KubeEdge Sedna's semantics could be integrated as an integral part of AI framework.
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