Application of Artificial Intelligence in Computer Vision and Networking

Yi-Xuan Tang （ School of Computer Science, Beijing Technology and Business University, Beijing 102200, China ）

Abstract

As the core driving force behind today's technological advancements, artificial intelligence (AI) is profoundly reshaping the technological landscape of computer vision and networking fields. This paper systematically explores the current application status, technological principles, and future development trends of AI in these two domains. In the field of computer vision, the paper focuses on deep learning-based technologies such as object detection, image recognition, facial recognition, and video analysis, and demonstrates their practical application value through real-world cases in medical imaging and autonomous driving. In the networking field, the paper elaborates on AI's innovative applications in network security, network optimization, and intelligent network management. The article also proposes strategic recommendations for promoting AI development, from the perspectives of technological integration and data privacy. By synthesizing authoritative data and the latest research results, this paper provides an important reference for technological development and practical applications in these fields.

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