Journal ArticleOPEN ACCESS

The environmental consequence of deep learning

ITNOW (2021) 63(4) 10-11
DOI: 10.1093/itnow/bwab099
3Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Borowiec, D., Harper, R. R., & Garraghan, P. (2021). The environmental consequence of deep learning. ITNOW, 63(4), 10–11. https://doi.org/10.1093/itnow/bwab099

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free