Networked Intelligence Laboratory
Latest Update: Sep 15, 2022
We provide Intelligence to the Services that are Flexible and Adaptable
Keywords: SmartX Automation, DevOps, DevSecOps, Cloud-native Computing, Kubernetes, Docker, MAAS, Ansible
Autonomous Driving System
Development of Cloud-Native Key Technologies to Collect and Provide Integrated Training Dataset for Autonomous Driving System
V2X-based Connected Platform for Responding to External Environments such as Bad Weather
Keywords: SmartX, Cloud-native Computing, Data Collection, V2X, Online AI, Edge Computing
Cloud-native Connected DataLake
We are developing a Real-time Hyper-fast DataLake in a way of Cloud-native Edge Computing, to make sure that Real-time AI Pipelines such as Autonomous Driving System should be realized.
Keywords: SmartX, Cloud-native Computing, Data Collection, Online AI, Edge Computing
Latest Update : 24 Dec, 2020
Challenges focusing on "Sustainable Orchestration of AI-inspired Cyber-Physical Services employing Shared Software-Defined Infrastructure and Common Cloud-native Platforms"
You can find more detailed explanation about our research theme from KRNET 2013, ICOIN 2015, APNOMS 2017 presentation slides.
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