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- surveyFebruary 2022
Tackling Climate Change with Machine Learning
- David Rolnick,
- Priya L. Donti,
- Lynn H. Kaack,
- Kelly Kochanski,
- Alexandre Lacoste,
- Kris Sankaran,
- Andrew Slavin Ross,
- Nikola Milojevic-Dupont,
- Natasha Jaques,
- Anna Waldman-Brown,
- Alexandra Sasha Luccioni,
- Tegan Maharaj,
- Evan D. Sherwin,
- S. Karthik Mukkavilli,
- Konrad P. Kording,
- Carla P. Gomes,
- Andrew Y. Ng,
- Demis Hassabis,
- John C. Platt,
- Felix Creutzig,
- Jennifer Chayes,
- Yoshua Bengio
ACM Computing Surveys (CSUR), Volume 55, Issue 2February 2023, Article No.: 42, pp 1–96https://doi.org/10.1145/3485128Climate change is one of the greatest challenges facing humanity, and we, as machine learning (ML) experts, may wonder how we can help. Here we describe how ML can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a ...
