Environmental Consequence of Deep Learning

Borowiec, Damian and Harper, R.H.R. and Garraghan, Peter (2022) Environmental Consequence of Deep Learning. ITNOW, 63 (4). pp. 10-11. ISSN 1746-5702

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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.

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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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21 Oct 2021 07:55
Last Modified:
25 Aug 2022 14:00