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[D] AutoML/Neural Architecture Search has a giant CO2 footprint

Looks like AutoML has by far the biggest carbon footprint of most training processes (394,863 CO2e).

Emma Strubell:

Are you interested in deep learning for NLP but also concerned about the CO2 footprint of training? You should be! Excited to share our work “Energy and Policy Considerations for Deep Learning in NLP” at @ACL2019_Italy! With @ananya__g and @andrewmccallum. Preprint coming soon.

https://twitter.com/strubell/status/1129408199478661120/photo/1

https://pbs.twimg.com/media/D6x2xN6XsAUV3gU.png

submitted by /u/MoneyScore
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.