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Article: ChatGPT: tackle the growing carbon footprint of generative AI

TitleChatGPT: tackle the growing carbon footprint of generative AI
Authors
KeywordsEnergy
Machine learning
Renewable energy
Issue Date2023
Citation
Nature, 2023, v. 615, n. 7953, p. 586 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/342805
ISSN
2023 Impact Factor: 50.5
2023 SCImago Journal Rankings: 18.509
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorAn, Jiafu-
dc.contributor.authorDing, Wenzhi-
dc.contributor.authorLin, Chen-
dc.date.accessioned2024-04-26T02:27:32Z-
dc.date.available2024-04-26T02:27:32Z-
dc.date.issued2023-
dc.identifier.citationNature, 2023, v. 615, n. 7953, p. 586-
dc.identifier.issn0028-0836-
dc.identifier.urihttp://hdl.handle.net/10722/342805-
dc.languageeng-
dc.relation.ispartofNature-
dc.subjectEnergy-
dc.subjectMachine learning-
dc.subjectRenewable energy-
dc.titleChatGPT: tackle the growing carbon footprint of generative AI-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1038/d41586-023-00843-2-
dc.identifier.pmid36944743-
dc.identifier.scopuseid_2-s2.0-85150672657-
dc.identifier.volume615-
dc.identifier.issue7953-
dc.identifier.spage586-
dc.identifier.epage-
dc.identifier.eissn1476-4687-
dc.identifier.isiWOS:000961443400015-

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