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Halting generative AI advancements may slow down progress in climate research
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics and Engineering Acoustics. KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, School of Industrial Engineering and Management (ITM), Centres, KTH Climate Action Centre, CAC.ORCID iD: 0000-0002-4350-8790
Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Valencia, Spain.
Departamento de Química Inorgánica, Universidad de Alicante, Alicante, Spain.
Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Valencia, Spain.
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Number of Authors: 82023 (English)In: Nature Climate Change, ISSN 1758-678X, E-ISSN 1758-6798, Vol. 13, no 6, p. 497-499Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Springer Nature , 2023. Vol. 13, no 6, p. 497-499
National Category
Climate Science Environmental Sciences Computer graphics and computer vision
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URN: urn:nbn:se:kth:diva-333032DOI: 10.1038/s41558-023-01686-5ISI: 000997023000001Scopus ID: 2-s2.0-85160409828OAI: oai:DiVA.org:kth-333032DiVA, id: diva2:1784237
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QC 20230725

Available from: 2023-07-25 Created: 2023-07-25 Last updated: 2025-02-01Bibliographically approved

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Larosa, FrancescaNerini, Francesco FusoVinuesa, Ricardo

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Climate ScienceEnvironmental SciencesComputer graphics and computer vision

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