國立高雄大學圖資館 |

Language: English

Back

Artificial intelligence for science (AI4S)frontiers and perspectives based on parallel intelligence /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence for science (AI4S)by Qinghai Miao, Fei-Yue Wang.
Reminder of title:	frontiers and perspectives based on parallel intelligence /
Author:	Miao, Qinghai.
other author:	Wang, Fei-Yue.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	x, 113 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence.
Online resource:	https://doi.org/10.1007/978-3-031-67419-8
ISBN:	9783031674198$q(electronic bk.)

Artificial intelligence for science (AI4S)frontiers and perspectives based on parallel intelligence /
Miao, Qinghai.

Artificial intelligence for science (AI4S)frontiers and perspectives based on parallel intelligence /[electronic resource] :by Qinghai Miao, Fei-Yue Wang. - Cham :Springer Nature Switzerland :2024. - x, 113 p. :ill. (chiefly color), digital ;24 cm. - SpringerBriefs in service science,2731-3751. - SpringerBriefs in service science..

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.

ISBN: 9783031674198$q(electronic bk.)

Standard No.: 10.1007/978-3-031-67419-8doiSubjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.3

Artificial intelligence for science (AI4S)frontiers and perspectives based on parallel intelligence /
LDR:02568nmm a2200337 a 4500 001 669056
003 DE-He213
005 20240912130234.0
006 m d
007 cr nn 008maaau
008 250120s2024 sz s 0 eng d
020 $a 9783031674198$q(electronic bk.)
020 $a 9783031674181$q(paper)
024 7 $a 10.1007/978-3-031-67419-8 $2 doi
035 $a 978-3-031-67419-8
040 $a GP $c GP
041 0 $a eng
050 4 $a Q335
072 7 $a KJD $2 bicssc
072 7 $a BUS041000 $2 bisacsh
072 7 $a KJD $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q335 $b .M618 2024
100 1 $a Miao, Qinghai. $3 981997
245 1 0 $a Artificial intelligence for science (AI4S) $h [electronic resource] : $b frontiers and perspectives based on parallel intelligence / $c by Qinghai Miao, Fei-Yue Wang.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a x, 113 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a SpringerBriefs in service science, $x 2731-3751
505 0 $a 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.
520 $a 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.
650 0 $a Artificial intelligence. $3 194058
650 0 $a Science. $3 177564
650 1 4 $a Innovation and Technology Management. $3 913107
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Services. $3 675813
700 1 $a Wang, Fei-Yue. $3 284064
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in service science. $3 935332
856 4 0 $u https://doi.org/10.1007/978-3-031-67419-8
950 $a Business and Management (SpringerNature-41169)