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 Edge AI addresses the processing and the implementation of machine learning algorithms locally on the hardware This form of local computing reduces the network delay for data transfer and solves the security challenges as everything happens on the device itself The Flow of Edge Therefore, intuitively, marrying machine learning techniques with edge computing has high potential to further boost the proliferation of truly intelligent edges In light of the above observations, in this special issue, we look for original work on intelligent edge computing, addressing the particular challenges of this field Edge computing is a technique to create a scalable compute infrastructure and has been gaining massive traction among organisations and individuals that have been shifting wholly into the cloud The technique utilises various smart devices around the edge of a network in order to store data The benefits of adopting edge computing are that it provides improved security, Edge Computing Wiki...