Artificial Intelligence Paradigms for Application Practice
暫譯: 應用實踐的人工智慧範式

本書提出了深度神經網絡的實用應用範式，旨在建立其在現實世界中實施的最佳實踐。

Shiguo Lian received his Ph.D. from Nanjing University of Science and Technology, China. He currently serves as Chief Scientist at the Data Science & Artificial Intelligence Research Institute and Chief Engineer of AI Technology, China Unicom. He is a member of the IEEE Multimedia Communications and Computational Intelligence Technical Committees. His research focuses on visual recognition, multimodal large models, robotics, and multimodal interactions.

Zhaoxiang Liu received his Ph.D. from the College of Information and Electrical Engineering at China Agricultural University, China. He currently serves as Director of AI Research at the Data Science & Artificial Intelligence Research Institute, China Unicom. His research interests include artificial intelligence, large language models, multimodal large models, deep learning, computer vision, and embodied AI.

**連世國**於中國南京科技大學獲得博士學位。目前擔任數據科學與人工智慧研究院首席科學家及中國聯通人工智慧技術首席工程師。他是IEEE多媒體通信與計算智能技術委員會的成員。其研究重點包括視覺識別、多模態大型模型、機器人技術及多模態互動。

**劉兆翔**於中國農業大學信息與電氣工程學院獲得博士學位。目前擔任中國聯通數據科學與人工智慧研究院的AI研究主任。他的研究興趣包括人工智慧、大型語言模型、多模態大型模型、深度學習、計算機視覺及具身AI。