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1
Introduction
2
About me
3
Agenda
4
Edge Computing
5
KubeEdge
6
Discovery
7
Distributed Collaborative AI
8
Business Value
9
Challenges
10
Smart Robotic Perception
11
Data Heterogeneity
12
Edge Data Deficiency
13
Lifelong Learning
14
Edge Cloud Collaborative Learning
15
Smart Robotic Perception Demo
16
Smart Robotic Lifelong Learning Demo
17
Benefits
18
Problems
19
Conclusion
Description:
Explore cloud-native edge machine learning case studies with KubeEdge-Sedna in this 32-minute conference talk by Siqi Luo from Huawei Technologies Co., Ltd. Discover how KubeEdge enables AI applications in robotics and satellite technology. Learn about lifelong learning for edge robots in environment recognition and navigation, as well as joint inference between satellites and ground stations for earth observation. Gain insights into tackling data heterogeneity challenges affecting service quality on robots and satellites. Understand the experience of building cloud-native edge machine learning systems, explore edge-cloud collaborative lifelong learning and joint inference practices, and identify common challenges across different applications of these technologies.

From Ground to Space: Cloud-Native Edge Machine Learning Case Studies with KubeEdge-Sedna

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