Edge-ai Integration
Edge–AI Integration is a framework-level academic concept that denotes the seamless incorporation of artificial intelligence models and algorithms into multi-access edge computing environments, distinguished by its emphasis on enabling real-time, low-latency, and context-aware intelligent processing directly at the network edge.
257
Publications
26.6K
Citations
1.2K
Authors
489
Institutions
Publications per year
2017–2026
255
Parents
257
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
Zhi Zhou, Xu Chen, En Li et al. · Proceedings of the IEEE · 2019 · 2.2K citations · Full text
1–5 of 257
1.2K
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10
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10
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9
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7
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489
Nanyang Technological University
Singapore, Singapore
12 h-index
32 publications
7K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
9 h-index
13 publications
2.8K citations
Singapore University of Technology and Design
Singapore, Singapore
9 h-index
12 publications
1.8K citations
Shenzhen Research Institute of Big Data
Shenzhen, China
9 h-index
20 publications
2.4K citations
Peng Cheng Laboratory
Shenzhen, China
9 h-index
11 publications
2.1K citations

Beijing University of Posts and Telecommunications
Beijing, China
9 h-index
20 publications
1K citations
Guangdong University of Technology
Guangzhou, China
9 h-index
10 publications
1.5K citations
Chinese University of Hong Kong, Shenzhen
Shenzhen, China
8 h-index
15 publications
1.5K citations
1–8 of 489
16 publications · 1.9K citations
14
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Repository · 13 publications · 545 citations
11
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10 publications · 2.5K citations
10
h-index
10 publications · 621 citations
10
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9 publications · 600 citations
9
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1–5