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Record link: 
http://hdl.handle.net/20.500.12708/57836
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Title: 
Edge Intelligence: The Convergence of Humans, Things, and AI
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Citation: 
Rausch, T., & Dustdar, S. (2019). Edge Intelligence: The Convergence of Humans, Things, and AI. In 2019 IEEE International Conference on Cloud Engineering (IC2E). IEEE International Conference on Cloud Engineering (IC2E 2019), Prague, Czechia. IEEE. https://doi.org/10.1109/ic2e.2019.00022
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Publisher DOI: 
10.1109/ic2e.2019.00022
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Authors: 
Rausch, Thomas 
Dustdar, Schahram 
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Organisational Unit: 
E194-02 - Forschungsbereich Distributed Systems 
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Published in: 
2019 IEEE International Conference on Cloud Engineering (IC2E) 
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Date (published): 
2019
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Event name: 
IEEE International Conference on Cloud Engineering (IC2E 2019) 
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Event date: 
24-Jun-2019 - 27-Jun-2019
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Event place: 
Prague, Czechia
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Number of Pages: 
11
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Publisher: 
IEEE
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Peer reviewed: 
Yes
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Abstract: 
Edge AI and Human Augmentation are two major technology trends, driven by recent advancements in edge computing, IoT, and AI accelerators. As humans, things, and AI continue to grow closer together, systems engineers and researchers are faced with new and unique challenges. In this paper, we analyze the role of edge computing and AI in the cyber-human evolution, and identify challenges that edge computing systems will consequently be faced with. We take a closer look at how a cyber-physical fabric will be complemented by AI operationalization to enable seamless end-to-end edge intelligence systems.
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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