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Computer Graduation Thesis Content Reference|Artificial Intelligence|Exploring the intersection of network and artificial intelligence
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Summary:
The combination of artificial intelligence (AI) and computer networks has led to a new field of research called network artificial intelligence. Network artificial intelligence involves developing algorithms and techniques that enable computers to learn, reason and make decisions based on data from a network of computers.
This article explores the intersection of networking and AI, including machine learning, deep learning, and other methods used by modern AI technologies in network analysis, management, and security. This article outlines the various challenges and opportunities encountered when using AI technologies in the network, including data quality, scalability, interpretability, and security.
We analyze the latest developments and trends in network artificial intelligence research, focusing on their applications in network traffic classification, intrusion detection, anomaly detection, network optimization, and network security. We also provide practical use cases to illustrate how AI techniques can be effectively applied for network management and security.
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