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010   $a3-031-67419-7
024 7 $a10.1007/978-3-031-67419-8
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035   $a(Au-PeEL)EBL31661199
035   $a(CKB)35068241400041
035   $a(OCoLC)1455759743
035   $a(DE-He213)978-3-031-67419-8
035   $a(EXLCZ)9935068241400041
100   $a20240912d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aArtificial Intelligence for Science (AI4S) $eFrontiers and Perspectives Based on Parallel Intelligence /$fby Qinghai Miao, Fei-Yue Wang
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (118 pages)
225 1 $aSpringerBriefs in Service Science,$x2731-3751
311 08$a3-031-67418-9 
327   $aAI4S 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.
330   $aThis book presents a comprehensive framework for analyzing, evaluating, and guiding AI for Sciences (AI4Sci) research, offering a unified approach that facilitates analysis across various academic fields through a shared set of dimensions and indicators. It provides a systematic overview of recent AI4Sci advances in various disciplines and offers insights into the latest issues in and prospects of AI4Sci. The book is based on the theory of Parallel Intelligence (PI), which forms the foundation for the general AI4Sci framework. By analyzing multiple cases in various academic fields, this framework integrates key elements of AI4Sci, such as real scientific problems, datasets, virtual systems, AI methods, human roles, and organizational mechanisms, from a multidimensional perspective. It also assesses and summarizes the limitations of AI4Sci, incorporating the latest advances in AI for fundamental models. Lastly, it explores the impact of DeSci and DAO, as well as TAO, on AI4Sci ecosystem development and prospects. Through its balanced approach, the book offers readers a goal-oriented perspective, focusing on a concise presentation of the core ideas and reducing detailed descriptions of specific AI4Sci cases to a minimum.
410  0$aSpringerBriefs in Service Science,$x2731-3751
606   $aTechnological innovations
606   $aArtificial intelligence
606   $aMachine learning
606   $aService industries
606   $aInnovation and Technology Management
606   $aArtificial Intelligence
606   $aMachine Learning
606   $aServices
615  0$aTechnological innovations.
615  0$aArtificial intelligence.
615  0$aMachine learning.
615  0$aService industries.
615 14$aInnovation and Technology Management.
615 24$aArtificial Intelligence.
615 24$aMachine Learning.
615 24$aServices.
676   $a658.4062
676   $a658.514
700   $aMiao$b Qinghai$01769644
701   $aWang$b Fei-Yue$01624359
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910887889603321
996   $aArtificial Intelligence for Science (AI4S)$94241408
997   $aUNINA