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  • ITNOW-BCS-Environmental-consequence-dl-borowiec

    Rights statement: This is a pre-copy-editing, author-produced PDF of an article accepted for publication in ITNow following peer review. The definitive publisher-authenticated versionDamian Borowiec, Richard R Harper, Peter Garraghan, The environmental consequence of deep learning, ITNOW, Volume 63, Issue 4, Winter 2021, Pages 10–11, https://doi.org/10.1093/itnow/bwab099 is available online at: https://academic.oup.com/itnow/article-abstract/63/4/10/6503628

    Accepted author manuscript, 214 KB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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Environmental Consequence of Deep Learning

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published
<mark>Journal publication date</mark>11/01/2022
<mark>Journal</mark>ITNOW
Issue number4
Volume63
Number of pages2
Pages (from-to)10-11
Publication StatusPublished
<mark>Original language</mark>English

Abstract

Deep learning and artificial intelligence are often viewed as panacea technologies — ones which can decarbonise many industries. But what is the carbon cost of these systems? Damian Borowiec, Richard R. Harper and Peter Garraghan discuss.

Bibliographic note

This is a pre-copy-editing, author-produced PDF of an article accepted for publication in ITNow following peer review. The definitive publisher-authenticated versionDamian Borowiec, Richard R Harper, Peter Garraghan, The environmental consequence of deep learning, ITNOW, Volume 63, Issue 4, Winter 2021, Pages 10–11, https://doi.org/10.1093/itnow/bwab099 is available online at: https://academic.oup.com/itnow/article-abstract/63/4/10/6503628

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