The overwhelming increase of ubiquitous data, connections, and services brings serious challenges, in particular facing the demanding requirements of the Internet of Things (IoT). In order to seek better solutions and achieve more efficient information retrieval, artificial intelligence (AI) serves as a strong technical earthquake and contributes a lot to data analysis and decision making. It plays a compelling role in prompting digital and intelligent services. In this article, we focus on and emphasize the great significance pertaining to the convergence of IoT and AI. We first elaborate two typical forms of AI, namely knowledge-enabled AI and data-driven AI, with a comparison between respective advantages and disadvantages. Then we survey recent progress relating to the convergence of AI throughout the IoT architecture, from the sensing layer through the network layer to the application layer. In addition, a case study of a smart city is presented illustrating the convergence between IoT and AI. Furthermore, we point out open issues worth further research. The convergence of IoT and AI marries the merits of both and enables strong capability of resolving a broad range of problems.

中文翻译：

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物联网与人工智能融合的最新进展

无处不在的数据，连接和服务的大量增加带来了严峻的挑战，尤其是面对物联网（IoT）的苛刻要求。为了寻求更好的解决方案并实现更高效的信息检索，人工智能（AI）充当了强烈的技术地震，为数据分析和决策做出了很大贡献。它在促进数字和智能服务方面起着引人注目的作用。在本文中，我们重点介绍并强调了与物联网和人工智能融合有关的重大意义。我们首先详细介绍两种典型的AI形式，即知识型AI和数据驱动型AI，并比较各自的优缺点。然后，我们调查了有关整个IoT架构中AI融合的最新进展，从传感层到网络层再到应用层。此外，还提出了一个智慧城市的案例研究，说明了物联网和人工智能之间的融合。此外，我们指出了值得进一步研究的未解决问题。物联网和人工智能的融合融合了两者的优点，并具有解决广泛问题的强大能力。