Abstract

The rapid development of artificial intelligence (AI) technology has sparked a wave of innovation in the fields of computer vision and networks. This paper explores the applications of AI in image recognition, deep learning, network security, and intelligent network management, systematically reviewing the integration of computer vision and network innovations. It also highlights key application scenarios, such as multimodal data fusion and edge computing. Additionally, this paper addresses challenges such as data privacy, computational resource demands, and model optimization, and forecasts the future potential of AI in creating intelligent vision and network systems. This research provides theoretical support and guidance for further exploration of AI’s integration and innovation in computer vision and network fields.

Keywords: 

Artificial Intelligence, computer vision, network security, deep learning

Issue

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