The increase in complexity of nowadays networks makes it difficult to effectively monitor, model, audit, and control the traffic. Therefore, there is a need for more powerful methods to solve the challenges faced in network design, deployment, and management. Machine learning (ML), as well as other artificial intelligence (AI) techniques, which have been successfully applied to various domains, including computer vision, natural language processing, and voice recognition, could have strong potential in solving problems in computer networks. However, research on ML or AI in networks is still at an early stage.

There is in general a lack of venue dedicated for discussion, promotion, and dissemination of research on machine learning in computer networks. IEEE ICNP Workshop on Machine Learning and Artificial Intelligence in Computer Networks (ML&AI@Network 2017) provides an opportunity for both researchers and practitioners in computer networks, systems, and machine learning to showcase their progress of tackling network problems using machine learning. We believe ML&AI@Network 2017 will be a good forum to bring together these research areas and elicit fruitful discussions.