Edge intelligence is anticipated to underlay the pathway to connected intelligence for 6G networks, but the organic confluence of edge computing and artificial intelligence still needs to be carefully treated. To this end, this article discusses the concepts of edge intelligence from the semantic cognitive perspective. Two instructive theoretical models for edge semantic cognitive intelligence (ESCI) are first established. Afterwards, the ESCI framework orchestrating deep learning with semantic communication is discussed. Two representative applications are present to shed light on the prospect of ESCI in 6G networks. Some open problems are finally listed to elicit the future research directions of ESCI.

翻译：预计边缘情报将掩盖6G网络连接情报的途径,但边缘计算和人工情报的有机组合仍需仔细处理。为此,本文章从语义认知角度讨论了边缘情报的概念。首先建立了两种边缘语义认知情报的启发性理论模型(ESCI),随后讨论了ESCI框架,该框架通过语义通信安排深层学习。有两个具有代表性的应用,以揭示6G网络中ESCI的前景。最后列出一些尚未解决的问题,以引领ESCI今后的研究方向。