03664nam a22005775i 4500 978-3-031-67419-8 DE-He213 20251030113036.0 cr nn 008mamaa 240912s2024 sz | s |||| 0|eng d 9783031674198 978-3-031-67419-8 10.1007/978-3-031-67419-8 doi HD45 KJD bicssc BUS041000 bisacsh KJD thema Miao, Qinghai. author. aut http://id.loc.gov/vocabulary/relators/aut 84147 Artificial Intelligence for Science (AI4S) [electronic resource] : Frontiers and Perspectives Based on Parallel Intelligence / by Qinghai Miao, Fei-Yue Wang. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 113 p. 36 illus., 35 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda SpringerBriefs in Service Science, 2731-3751 AI4S based on Parallel Intelligence -- AI for Mathematics -- AI for Physics -- AI for Biology -- AI for Health and Medicine -- AI for Chemistry -- AI for Material Science -- AI for Astronomy -- Toward a Sustainable AI4S Ecosystem. This book presents a comprehensive framework for analyzing, evaluating, and guiding AI for Sciences (AI4Sci) research, offering a unified approach that facilitates analysis across various academic fields through a shared set of dimensions and indicators. It provides a systematic overview of recent AI4Sci advances in various disciplines and offers insights into the latest issues in and prospects of AI4Sci. The book is based on the theory of Parallel Intelligence (PI), which forms the foundation for the general AI4Sci framework. By analyzing multiple cases in various academic fields, this framework integrates key elements of AI4Sci, such as real scientific problems, datasets, virtual systems, AI methods, human roles, and organizational mechanisms, from a multidimensional perspective. It also assesses and summarizes the limitations of AI4Sci, incorporating the latest advances in AI for fundamental models. Lastly, it explores the impact of DeSci and DAO, as well as TAO, on AI4Sci ecosystem development and prospects. Through its balanced approach, the book offers readers a goal-oriented perspective, focusing on a concise presentation of the core ideas and reducing detailed descriptions of specific AI4Sci cases to a minimum. Technological innovations. 59244 Artificial intelligence. 58441 Machine learning. 55059 Service industries. 68307 Innovation and Technology Management. 66187 Artificial Intelligence. 58441 Machine Learning. 55059 Services. 68308 Wang, Fei-Yue. author. aut http://id.loc.gov/vocabulary/relators/aut 84148 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031674181 Printed edition: 9783031674204 SpringerBriefs in Service Science, 2731-3751 81892 https://doi.org/10.1007/978-3-031-67419-8 ZDB-2-BUM ZDB-2-SXBM 63302 63302