Exploring AI models and applications within a system framework

被引：0
|
作者：
Sun, Yu [1 ]
Li, Ling [2 ]
Yu, Zhaoyuan [3 ]
Yu, Haiqing [4 ]
Wang, Hecheng [1 ]
机构：
[1] Hangzhou Dianzi Univ, Sch Management, Hangzhou, Peoples R China
[2] Old Dominion Univ, Norfolk, VA USA
[3] Northeast Normal Univ, Business Sch, Changchun, Jilin, Peoples R China
[4] Jilin Univ, Sch Business & Management, Changchun, Peoples R China
来源：
SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE | 2024年
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
artificial intelligence (AI); big data; Blockchain; industrial; 4.0; machine learning; DECISION-SUPPORT-SYSTEM; KNOWLEDGE-BASED SYSTEM; FEATURE SPACE THEORY; ARTIFICIAL-INTELLIGENCE; GENETIC ALGORITHMS; NEURAL-NETWORK; REPRESENTATION; INDUSTRY; CLASSIFICATION; SUCCESS;
D O I：
10.1002/sres.3036
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
Artificial intelligence (AI) has emerged as a pivotal catalyst for industrial advancement and economic growth, fueling innovation across various sectors. It stands as a cornerstone in propelling the integrated evolution of cutting-edge technologies like big data, cloud computing, blockchain, 5G/6G and industry 4.0. Consequently, AI has captured significant attention within academic and industrial spheres alike. This study conducts a comprehensive review of AI-related research and models, offering systematic insights into its industrial applications and future trajectories. By providing valuable insights, this review serves as a crucial reference point for both researchers and practitioners navigating the dynamic landscape of AI innovation.
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页数：18
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