The applications of artificial intelligence (AI) and machine learning (ML) technologies in wireless communications have drawn significant attention recently. AI has demonstrated real success in speech understanding, image identification, and natural language processing domains, thus exhibiting its great potential in solving problems that cannot be easily modeled. AI techniques have become an enabler in wireless communications to fulfill the increasing and diverse requirements across a large range of application scenarios. In this paper, we elaborate on several typical wireless scenarios, such as channel modeling, channel decoding and signal detection, and channel coding design, in which AI plays an important role in wireless communications. Then, AI and information theory are discussed from the viewpoint of the information bottleneck. Finally, we discuss some ideas about how AI techniques can be deeply integrated with wireless communication systems.

人工智能（AI）和机器学习（ML）技术在无线通信中的应用近来引起了广泛关注。人工智能已经在语音理解，图像识别和自然语言处理领域取得了真正的成功，因此在解决难以建模的问题方面显示出巨大的潜力。人工智能技术已经成为无线通信的推动者，可以满足各种应用场景中不断增长的多样化需求。在本文中，我们详细介绍了几种典型的无线场景，例如通道建模，通道解码和信号检测以及通道编码设计，其中AI在无线通信中起着重要作用。然后，从信息瓶颈的角度讨论了人工智能和信息理论。最后，