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Conference: KubeCon + CloudNativeCon Europe 2022
Authors: Zhipeng Huang, Xiaoman Hu, Yue Bao
2022-05-18
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The presentation discusses how KubeEdge Sedna, a cloud-native edge machine learning suite, is combined with TinyMS, 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.
- KubeEdge has brought cloud-native to space with several small research satellites equipped with edge computing and AI.
- KubeEdge Sedna and TinyMS are combined to enable incremental learning at the satellite for tasks like remote sensing and earth observing.
- The presentation provides a deep dive into how KubeEdge Sedna and TinyMS work together to accomplish incremental deep learning for satellites.
- The use of KubeEdge Sedna and TinyMS allows for the optimization of vast amounts of data using artificial intelligence and cloud-native technology.
- The presentation includes an anecdote about how KubeEdge Sedna and TinyMS are used to detect farmland areas using satellite data.