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- Publisher Website: 10.1038/d41586-023-00843-2
- Scopus: eid_2-s2.0-85150672657
- PMID: 36944743
- WOS: WOS:000961443400015
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Article: ChatGPT: tackle the growing carbon footprint of generative AI
Title | ChatGPT: tackle the growing carbon footprint of generative AI |
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Authors | |
Keywords | Energy Machine learning Renewable energy |
Issue Date | 2023 |
Citation | Nature, 2023, v. 615, n. 7953, p. 586 How to Cite? |
Persistent Identifier | http://hdl.handle.net/10722/342805 |
ISSN | 2023 Impact Factor: 50.5 2023 SCImago Journal Rankings: 18.509 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | An, Jiafu | - |
dc.contributor.author | Ding, Wenzhi | - |
dc.contributor.author | Lin, Chen | - |
dc.date.accessioned | 2024-04-26T02:27:32Z | - |
dc.date.available | 2024-04-26T02:27:32Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Nature, 2023, v. 615, n. 7953, p. 586 | - |
dc.identifier.issn | 0028-0836 | - |
dc.identifier.uri | http://hdl.handle.net/10722/342805 | - |
dc.language | eng | - |
dc.relation.ispartof | Nature | - |
dc.subject | Energy | - |
dc.subject | Machine learning | - |
dc.subject | Renewable energy | - |
dc.title | ChatGPT: tackle the growing carbon footprint of generative AI | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1038/d41586-023-00843-2 | - |
dc.identifier.pmid | 36944743 | - |
dc.identifier.scopus | eid_2-s2.0-85150672657 | - |
dc.identifier.volume | 615 | - |
dc.identifier.issue | 7953 | - |
dc.identifier.spage | 586 | - |
dc.identifier.epage | - | |
dc.identifier.eissn | 1476-4687 | - |
dc.identifier.isi | WOS:000961443400015 | - |