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November 12, 2019 
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AI training pollutes a lot more than previously thought

Posted on Friday, June 07 2019 @ 11:59:35 CEST by


MIT took a look at the pollution generated by AI and concludes that deep learning has a terrible carbon footprint. In a new article, Karen Hao explains the training of a single, large AI model can result in as much carbon dioxide emissions as five cars in their lifetimes. To be more specific, a Transformer neural net with 213 million parameters with neural architecture search can emit over 626,000 pounds of CO2 equivalent.
It’s a jarring quantification of something AI researchers have suspected for a long time. “While probably many of us have thought of this in an abstract, vague level, the figures really show the magnitude of the problem,” says Carlos Gómez-Rodríguez, a computer scientist at the University of A Coruña in Spain, who was not involved in the research. “Neither I nor other researchers I’ve discussed them with thought the environmental impact was that substantial.”




 



 

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