Titlebook: Edge AI; Convergence of Edge Xiaofei Wang,Yiwen Han,Xu Chen Book 2020 The Editor(s) (if applicable) and The Author(s), under exclusive lic

Nutrient

Fundamentals of Edge Computingg, because cloud computing can process some computation-intensive tasks that edge devices cannot deal with, relying on its rich computing power and storage resources. Therefore, the combination of cloud computing and edge computing can satisfy the requirements of more diverse application scenarios and bring a more convenient experience to users.

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抱狗不敢前

乳白光

Conclusionsunder the multiple constraints of networking, communication, computing power, and energy consumption, how to devise and develop edge computing architecture to achieve the best performance of AI training and inference.

男生戴手銬

Eliana Cardoso,André Portela F. de Souzaication scenarios of AI especially with respect to the low-latency characteristic. In the following, we present edge AI applications and highlight their advantages over the comparing architectures without edge computing.

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進(jìn)步

GRILL

Fundamentals of Edge Computingsion, improving service latency, and easing cloud computing pressure. At the same time, the emergence of edge computing has spawned a large number of new technologies and promoted the updating and application of some existing technologies, such as the improvement of end device hardware capabilities

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難聽的聲音

Artificial Intelligence Applications on Edgex and hard to compute their inference results on the side of resource-limited devices. However, such kind of “end–cloud” architecture cannot meet the needs of real-time AI services such as real-time analytics, smart manufacturing, etc. Thus, deploying AI applications on the edge can broaden the appl