Sustainable practices in AI and big data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F24%3A00060648" target="_blank" >RIV/61384399:31140/24:00060648 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-3-031-73110-5_9" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-73110-5_9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-73110-5_9" target="_blank" >10.1007/978-3-031-73110-5_9</a>

Result language

angličtina

Original language name

Sustainable practices in AI and big data

Original language description

Main topics of the document: sustainable AI; big data; energy efficiency; best practices environmental impact

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the Future Technologies Conference (FTC) 2024, Volume 1

ISBN

978-3-031-73109-9

ISSN

2367-3370

e-ISSN

2367-3389

Number of pages

10

Pages from-to

118-127

Publisher name

Springer Nature

Place of publication

Switzerland

Event location

London

Event date

Nov 14, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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