Green AI

@article{Schwartz2019GreenA,
  title={Green AI},
  author={Roy Schwartz and Jesse Dodge and Noah A. Smith and Oren Etzioni},
  journal={ArXiv},
  year={2019},
  volume={abs/1907.10597}
}
The computations required for deep learning research have been doubling every few months, resulting in an estimated 300,000x increase from 2012 to 2018 [2]. These computations have a surprisingly large carbon footprint [38]. Ironically, deep learning was inspired by the human brain, which is remarkably energy efficient. Moreover, the financial cost of the computations can make it difficult for academics, students, and researchers, in particular those from emerging economies, to engage in deep… CONTINUE READING

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