Application of Artificial Intelligence in Computer Vision and Networking

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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Publication Details

Journal
Engineering Technology Trends
Published
2025-01-01
DOI
https://doi.org/10.37155/2972-483x-0301-4
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of Artificial Intelligence in Computer Vision and Networking

Yixuan Tang
Engineering Technology Trends
Medical Imaging and Analysis
article

Application of Artificial Intelligence in Computer Vision and Networking

Yixuan Tang
article en

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.

Engineering Technology TrendsVol. 3(1)
Beijing Technology and Business University (CN)
Openalex Percentile: Top 88%
Medical Imaging and Analysis
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