Journal
ACM COMPUTING SURVEYS
Volume 55, Issue 2, Pages -Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3485128
Keywords
Climate change; mitigation; adaptation; machine learning; artificial intelligence
Categories
Ask authors/readers for more resources
This article discusses the importance of machine learning in reducing greenhouse gas emissions and helping society adapt to climate change. It identifies existing gaps and proposes solutions and opportunities.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available