Artificial Intelligence in China [electronic resource] : Proceedings of the 5th International Conference on Artificial Intelligence in China / edited by Wei Wang, Jiasong Mu, Xin Liu, Zhenyu Na Na.
Contributor(s): Wang, Wei [editor.]
| Mu, Jiasong [editor.] | Liu, Xin [editor.] | Na, Zhenyu Na [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Electrical Engineering: 1043Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024.Description: X, 635 p. 258 illus., 204 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789819975457.Subject(s): Artificial intelligence | Neural networks (Computer science) | Computer vision | Artificial Intelligence | Mathematical Models of Cognitive Processes and Neural Networks | Computer VisionAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: This book brings together papers presented at the 2023 The International Conference on Artificial Intelligence in China (ChinaAI), which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in Artificial Intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE).
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This book brings together papers presented at the 2023 The International Conference on Artificial Intelligence in China (ChinaAI), which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in Artificial Intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE).
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