  In recent years, techniques developed in artificial intelligence (AI),
especially those in machine learning (ML), have been successfully applied in
various areas, leading to a widespread belief that AI will collectively play an
important role in future wireless communications. To accomplish the aspiration,
we present nine challenges to be addressed by the interdisciplinary areas of
AI/ML and wireless communications, with particular focus towards the sixth
generation (6G) wireless networks. Specifically, this article classifies the
nine challenges into computation in AI, distributed neural networks and
learning, and ML enabled semantic communications.
