The advent of 6G technology heralds a new era in wireless communication, promising unprecedented speeds, ultra-low latency, and ubiquitous connectivity. Central to this revolution are Artificial Intelligence (AI) and Machine Learning (ML), which underpin the development of smart networks capable of self-optimization, intelligent resource management, and adaptive security mechanisms. This paper explores the integral role of AI and ML in the evolution of 6G networks, examining their applications in network optimization, predictive maintenance, security enhancements, and the facilitation of edge computing. Additionally, the paper discusses the challenges and future directions in integrating AI and ML within 6G infrastructures, highlighting the potential pathways to realizing fully autonomous and intelligent communication networks.
