The article discusses the roadmap for 6G wireless networks, emphasizing the role of AI in enabling advanced mobile AI applications. It outlines key features of 6G, including ultra-high data rates, energy efficiency, global connectivity, low latency, broad frequency bands, and connected intelligence with AI capabilities. 6G will support new service types beyond 5G, such as Computation Oriented Communications (COC), Contextually Agile eMBB Communications (CAeC), and Event Defined uRLLC (EDuRLLC). The article proposes a roadmap for 6G, highlighting the integration of AI in network design, optimization, and operations. It discusses potential technologies for 6G, including hardware-aware communications, intelligent radio, and AI-enabled closed-loop optimization. The article also explores the architecture of 6G networks, emphasizing network intelligentization, subnetwork evolution, and intelligent radio. It discusses the challenges and opportunities of 6G, including the need for flexible, adaptive, and intelligent network architectures. The article concludes with a vision of 6G as an intelligent information system that is both driven by and a driver of AI technologies. The article also discusses the importance of AI in enabling distributed machine learning, communication-efficient distributed training and inference, and intelligent communications for heterogeneous hardware constraints. The article highlights the potential of 6G to revolutionize wireless communications, computing, and control in a wide range of applications, including smart cities, connected infrastructure, wearable computers, autonomous driving, and space-air-ground integrated networks.The article discusses the roadmap for 6G wireless networks, emphasizing the role of AI in enabling advanced mobile AI applications. It outlines key features of 6G, including ultra-high data rates, energy efficiency, global connectivity, low latency, broad frequency bands, and connected intelligence with AI capabilities. 6G will support new service types beyond 5G, such as Computation Oriented Communications (COC), Contextually Agile eMBB Communications (CAeC), and Event Defined uRLLC (EDuRLLC). The article proposes a roadmap for 6G, highlighting the integration of AI in network design, optimization, and operations. It discusses potential technologies for 6G, including hardware-aware communications, intelligent radio, and AI-enabled closed-loop optimization. The article also explores the architecture of 6G networks, emphasizing network intelligentization, subnetwork evolution, and intelligent radio. It discusses the challenges and opportunities of 6G, including the need for flexible, adaptive, and intelligent network architectures. The article concludes with a vision of 6G as an intelligent information system that is both driven by and a driver of AI technologies. The article also discusses the importance of AI in enabling distributed machine learning, communication-efficient distributed training and inference, and intelligent communications for heterogeneous hardware constraints. The article highlights the potential of 6G to revolutionize wireless communications, computing, and control in a wide range of applications, including smart cities, connected infrastructure, wearable computers, autonomous driving, and space-air-ground integrated networks.