Introduction of AI in Networking :

AI (Artificial Intelligence) has emerged as a transformative force in the field of networking research, revolutionizing the way we design, manage, and secure modern computer networks. By leveraging machine learning, deep learning, and data analytics, AI-driven networking solutions promise to enhance network efficiency, reliability, and security, ultimately leading to more adaptive and autonomous network infrastructures.

Network Automation and Orchestration:

Developing AI-driven systems that automate network configuration, provisioning, and management, reducing human interventian and operational errors.

Network Security and Intrusion Detection:

Utilizing AI algorithms for real-time threat detection, anomaly detection, and repid response to security  breachse in network environments.

Quality of Service (QoS) Optimization:

Using AI to dynamically allocate network resources, priaritize traffic, and ensure optimal QoS for diverse applications and services.

Network Predictive Analytics:

Implementing predictive analytics models to forecast network performance, anticipate Outages, and optimize network infrestructure based on historical and real-time data.

Software-Defined Networking (SDN) and AI:

Integrating AI into SDN architectures to enhance network control and programmability, enabling more adaptive  and responsive networks.