The fifth-generation cellular network, 5G, presents increased complexities when compared to its predecessors. Factors such as diverse network environments, the surge in cell density, varying service demands make the design and management of 5G networks very challenging. Recently, the telecommunications industry has realized the indispensable nature of artificial intelligence (AI) and machine learning (ML) in actualizing a thoroughly automated wireless network, ranging from autonomous service quality assurance at upper layers to robust and intelligent physical-layer wireless algorithms. AI/ML are vital for not just curtailing operational costs but also tackling challenges of future wireless communications, including for example high speed connections in complex environments with unknown channel conditions as well as ultra-reliable and low latency communications in both the evolutionary 5G (B5G) and the forthcoming 6G networks. This workshop aims to bring together cutting-edge research efforts that tackle these intrinsic challenges and explore the vast potentialities ahead. Contributions from AI specialists, telecom professionals, and cross-disciplinary experts are welcomed. The focal themes for this edition encompass, but are not limited to：
AI/ML based physical layer technologies for B5G and 6G
Beamforming in massive MIMO system based on AI/ML
AI/ML based non-orthogonal multiple access (NOMA) techniques
Channel modeling based on AI/ML
AI/ML in network design and planning
AI/ML for coverage and capacity optimization
AI/ML based network load balancing and traffic steering
Intelligent network slicing
AI/ML for network deployment automation
AI/ML for service quality assurance and improvement
AI/ML self-driving networks
AI/ML for network energy saving and efficiency improvement
Reinforce Learning for Autonomous Networks
Federated Learning in Networking