Ming Tang
DaoCloud/Edge computing R&D Engineer/AI R&D Engineer
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DaoCloud cloud-native backend R&D engineers have worked in the field of edge computing for many years, especially in the KubeEdge community, won the 2023 KubeEdge Rising Star Award. I also have a certain understanding of the field of artificial intelligence, and hope to inject more vitality into the open source community in the field of edge +AI in the future.
Hands-on Experimentation to Explore AI-Powered Navigation in Cloud-Edge Collaboration
Edge computing has successfully extended cloud-native technologies to the edge. In recent years, the development and application of edge AI have garnered widespread attention. Building upon KubeEdge and its SIG AI subproject, Sedna, we have achieved significant practical successes across various sectors including satellite communications, industrial automation, and healthcare. Through the cloud-edge collaboration frameworks, we have maximized the advantages of cloud-native technologies in edge AI scenarios, effectively balancing data privacy at the edge while reducing costs and improving model performance.
This talk will introduce how the cloud-edge collaborative frameworks of KubeEdge and Sedna are instrumental in the realm of AI technology, how they are applied to real-world scenarios such as satellite communications. Additionally, we'll conduct hands-on experiments to demonstrate how cloud-native and AI technologies can be effectively utilized within edge devices.
Ming Tang
DaoCloud/Edge computing R&D Engineer/AI R&D Engineer
Actions
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