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Journal Article

Tackling Climate Change with Machine Learning

Authors

Rolnick,  David
External Organizations;

Donti,  Priya L.

Kaack,  Lynn H.

Kochanski,  Kelly

Lacoste,  Alexandre

Sankaran,  Kris

Ross,  Andrew Slavin

Milojevic-Dupont,  Nikola

Jaques,  Natasha

Waldman-Brown,  Anna

Luccioni,  Alexandra Sasha

Maharaj,  Tegan

Sherwin,  Evan D.

Mukkavilli,  S. Karthik

Kording,  Konrad P.

Gomes,  Carla P.

Ng,  Andrew Y.

Hassabis,  Demis

Platt,  John C.

Creutzig,  Felix

Chayes,  Jennifer

Bengio,  Yoshua

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Citation

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


Cite as: https://publications.pik-potsdam.de/pubman/item/item_31187
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