國立高雄大學圖資館 |

Language: English

Back

Artificial intelligence and sustainability

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence and sustainabilityby Mohamed Ahmed Alloghani.
Author:	Alloghani, Mohamed Ahmed.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xx, 212 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligenceEnvironmental aspects.
Online resource:	https://doi.org/10.1007/978-3-031-45214-7
ISBN:	9783031452147$q(electronic bk.)

Artificial intelligence and sustainability
Alloghani, Mohamed Ahmed.

Artificial intelligence and sustainability[electronic resource] /by Mohamed Ahmed Alloghani. - Cham :Springer Nature Switzerland :2024. - xx, 212 p. :ill. (some col.), digital ;24 cm. - Signals and communication technology,1860-4870. - Signals and communication technology..

Introduction -- Introduction to AI and Sustainability -- Challenges surrounding AI software development -- Strategies for building efficient AI systems -- Ethical considerations in AI development -- AI and Energy -- AI and Climate Change -- AI and Natural Resource Management -- AI and Sustainable Agriculture -- AI and Sustainable Transport -- AI and Sustainable Cities -- AI and Sustainable Business -- Methods for ensuring data privacy and security in AI software -- Case studies -- Future directions for sustainable AI software development -- Conclusion.

This book gives readers the tools to craft AI systems that don't just thrive today, but endure sustainably into the future. Whether a trailblazer or an aspiring innovator, this book enables readers to resonate with the ambitions of software developers, data scientists, and AI practitioners. The author covers the latest techniques and best practices for energy efficiency, reducing carbon footprints, and ensuring fair and ethical AI. The book also addresses important issues such as AI governance, managing risks, and ensuring transparency. Topics covered include understanding the relationship between AI and sustainable development, strategies for building efficient AI systems, and ethical considerations in AI development, among others. The author includes case studies of companies and organizations that have successfully implemented sustainable AI software development practices. Therefore, this book will be of interest to AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.

ISBN: 9783031452147$q(electronic bk.)

Standard No.: 10.1007/978-3-031-45214-7doiSubjects--Topical Terms:

921961
Artificial intelligence
--Environmental aspects.

LC Class. No.: Q335

Dewey Class. No.: 006.3

Artificial intelligence and sustainability
LDR:02652nmm a2200337 a 4500 001 660902
003 DE-He213
005 20231125074012.0
006 m d
007 cr nn 008maaau
008 241106s2024 sz s 0 eng d
020 $a 9783031452147$q(electronic bk.)
020 $a 9783031452130$q(paper)
024 7 $a 10.1007/978-3-031-45214-7 $2 doi
035 $a 978-3-031-45214-7
040 $a GP $c GP
041 0 $a eng
050 4 $a Q335
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q335 $b .A441 2024
100 1 $a Alloghani, Mohamed Ahmed. $3 972219
245 1 0 $a Artificial intelligence and sustainability $h [electronic resource] / $c by Mohamed Ahmed Alloghani.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xx, 212 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Signals and communication technology, $x 1860-4870
505 0 $a Introduction -- Introduction to AI and Sustainability -- Challenges surrounding AI software development -- Strategies for building efficient AI systems -- Ethical considerations in AI development -- AI and Energy -- AI and Climate Change -- AI and Natural Resource Management -- AI and Sustainable Agriculture -- AI and Sustainable Transport -- AI and Sustainable Cities -- AI and Sustainable Business -- Methods for ensuring data privacy and security in AI software -- Case studies -- Future directions for sustainable AI software development -- Conclusion.
520 $a This book gives readers the tools to craft AI systems that don't just thrive today, but endure sustainably into the future. Whether a trailblazer or an aspiring innovator, this book enables readers to resonate with the ambitions of software developers, data scientists, and AI practitioners. The author covers the latest techniques and best practices for energy efficiency, reducing carbon footprints, and ensuring fair and ethical AI. The book also addresses important issues such as AI governance, managing risks, and ensuring transparency. Topics covered include understanding the relationship between AI and sustainable development, strategies for building efficient AI systems, and ethical considerations in AI development, among others. The author includes case studies of companies and organizations that have successfully implemented sustainable AI software development practices. Therefore, this book will be of interest to AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.
650 0 $a Artificial intelligence $x Environmental aspects. $3 921961
650 0 $a Sustainable development $x Data processing. $3 850666
650 1 4 $a Communications Engineering, Networks. $3 273745
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Sustainability. $3 376755
650 2 4 $a Cyber-Physical Systems. $3 919034
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Signals and communication technology. $3 557664
856 4 0 $u https://doi.org/10.1007/978-3-031-45214-7
950 $a Engineering (SpringerNature-11647)