Abstract
Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI refers to the practice of doing AI computations near the users at the network's edge, instead of centralised location like a cloud service provider's data centre. With the latest innovations in AI efficiency, the proliferation of Internet of Things (IoT) devices, and the rise of edge computing, the potential of edge AI has now been unlocked. This study provides a thorough analysis of AI approaches and capabilities as they pertain to edge computing, or Edge AI. Further, a detailed survey of edge computing and its paradigms including transition to Edge AI is presented to explore the background of each variant…
Citation impact
429
total citations
- FWCI
- 82.40
- Percentile
- 100%
- References
- 223
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Edge computing
- Edge device
- Enhanced Data Rates for GSM Evolution
- Computer science
- Blueprint
- Field (mathematics)
- Cloud computing
- Artificial intelligence
UN Sustainable Development Goals
- Industry, innovation and infrastructure
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