AI/ML for Data Networks: Challenges & Research Directions
Abstract
Due to its outstanding performance in several areas, particularly in image, audio, and natural language processing, artificial intelligence (AI) and machine learning (ML) as an approach to AI, have seen a significant growth in popularity in recent years. Success stories of AI in various fields are advancing the field. Despite several attempts to transform networks into learning agents, there are few effective applications of AI/ML in networking when it comes to data communication networks (AI4NETS). The widespread academic research on AI/ML-based solutions and the actual deployments of such AI/ML-based systems in operational contexts are strikingly at odds with each other.
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