| 000 | 03664nam a22005775i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-67419-8 | ||
| 003 | DE-He213 | ||
| 005 | 20251030113036.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240912s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031674198 _9978-3-031-67419-8 |
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| 024 | 7 |
_a10.1007/978-3-031-67419-8 _2doi |
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| 050 | 4 | _aHD45 | |
| 072 | 7 |
_aKJD _2bicssc |
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_aBUS041000 _2bisacsh |
|
| 072 | 7 |
_aKJD _2thema |
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| 100 | 1 |
_aMiao, Qinghai. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _984147 |
|
| 245 | 1 | 0 |
_aArtificial Intelligence for Science (AI4S) _h[electronic resource] : _bFrontiers and Perspectives Based on Parallel Intelligence / _cby Qinghai Miao, Fei-Yue Wang. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
|
| 300 |
_aX, 113 p. 36 illus., 35 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringerBriefs in Service Science, _x2731-3751 |
|
| 505 | 0 | _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. | |
| 520 | _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. | ||
| 650 | 0 |
_aTechnological innovations. _959244 |
|
| 650 | 0 |
_aArtificial intelligence. _958441 |
|
| 650 | 0 |
_aMachine learning. _955059 |
|
| 650 | 0 |
_aService industries. _968307 |
|
| 650 | 1 | 4 |
_aInnovation and Technology Management. _966187 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _958441 |
| 650 | 2 | 4 |
_aMachine Learning. _955059 |
| 650 | 2 | 4 |
_aServices. _968308 |
| 700 | 1 |
_aWang, Fei-Yue. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _984148 |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031674181 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031674204 |
| 830 | 0 |
_aSpringerBriefs in Service Science, _x2731-3751 _981892 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-67419-8 |
| 912 | _aZDB-2-BUM | ||
| 912 | _aZDB-2-SXBM | ||
| 999 |
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