• Ankit Kumar Srivastava
• Vishal Chaudhary

As 6G networks emerge as the next frontier in telecommunications, Artificial Intelligence (AI) plays a critical role in enabling their capabilities. AI’s advanced data processing and predictive analytics can optimize network performance, automate operations, and deliver ultra-low latency and high-speed connectivity, making 6G networks highly adaptive and efficient. Key opportunities include real-time analytics, dynamic resource allocation, and enhanced security protocols. However, challenges such as managing vast data volumes, ensuring data privacy, and developing robust AI algorithms pose significant hurdles. Future directions focus on integrating AI in decentralized and self-learning networks, enabling 6G to support advanced applications like immersive virtual reality, autonomous systems, and smart cities.

6G Networks, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Network Optimization,Spectrum Management, Edge Computing, Federated Learning, Low Latency, High Data Rates, Ultra-Reliable Communication, Internet of Things (IoT), Smart Cities, Immersive Technologies, Virtual Reality (VR), Augmented Reality (AR), Cybersecurity, Energy Efficiency, Blockchain Integration, Tactile Internet, Self-Optimizing Networks (SON), Resource Allocation, Autonomous Systems, Intelligent Resource Management, Decentralized Intelligence

"The Role of Artificial Intelligence in Shaping 6G Networks: Opportunities, Challenges, and Future Directions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.f154-f161, November-2024, Available :http://www.jetir.org/papers/JETIR2411517.pdf

"The Role of Artificial Intelligence in Shaping 6G Networks: Opportunities, Challenges, and Future Directions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppf154-f161, November-2024, Available at : http://www.jetir.org/papers/JETIR2411517.pdf