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  Tackling Climate Change with Machine Learning

Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., Luccioni, A. S., Maharaj, T., Sherwin, E. D., Mukkavilli, S. K., Kording, K. P., Gomes, C. P., Ng, A. Y., Hassabis, D., Platt, J. C., Creutzig, F., Chayes, J., Bengio, Y. (2023): Tackling Climate Change with Machine Learning. - ACM Computing Surveys, 55, 2, 42.
https://doi.org/10.1145/3485128

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 Creators:
Rolnick, David1, Author
Donti, Priya L., Author
Kaack, Lynn H., Author
Kochanski, Kelly, Author
Lacoste, Alexandre, Author
Sankaran, Kris, Author
Ross, Andrew Slavin, Author
Milojevic-Dupont, Nikola, Author
Jaques, Natasha, Author
Waldman-Brown, Anna, Author
Luccioni, Alexandra Sasha, Author
Maharaj, Tegan, Author
Sherwin, Evan D., Author
Mukkavilli, S. Karthik, Author
Kording, Konrad P., Author
Gomes, Carla P., Author
Ng, Andrew Y., Author
Hassabis, Demis, Author
Platt, John C., Author
Creutzig, Felix, Author
Chayes, Jennifer, AuthorBengio, Yoshua, Author more..
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1External Organizations, ou_persistent22              

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 Dates: 2023
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1145/3485128
BibTex Citekey: RN1218
 Degree: -

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Title: ACM Computing Surveys
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 55 (2) Sequence Number: - Start / End Page: 42 Identifier: PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
Working Group: Cities: Data Science and Sustainable Planning