Tackling Climate Change with Machine Learning

198Citations
Citations of this article
2.5kReaders
Mendeley users who have this article in their library.

Abstract

Climate 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 changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by ML, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the ML community to join the global effort against climate change.

Cite

CITATION STYLE

APA

Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., … Bengio, Y. (2023, March 1). Tackling Climate Change with Machine Learning. ACM Computing Surveys. Association for Computing Machinery. https://doi.org/10.1145/3485128

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free