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

Offered By: Linux Foundation via YouTube

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Edge Computing Courses Machine Learning Courses Robotics Courses Lifelong Learning Courses Cloud Native Computing Courses KubeEdge Courses

Course Description

Overview

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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.

Syllabus

Introduction
About me
Agenda
Edge Computing
KubeEdge
Discovery
Distributed Collaborative AI
Business Value
Challenges
Smart Robotic Perception
Data Heterogeneity
Edge Data Deficiency
Lifelong Learning
Edge Cloud Collaborative Learning
Smart Robotic Perception Demo
Smart Robotic Lifelong Learning Demo
Benefits
Problems
Conclusion


Taught by

Linux Foundation

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