Tackling Climate Change with Machine Learning
Mila - Quebec Artificial Intelligence Institute · McGill University · +20 more institutions
Abstract
Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning 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 machine learning, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the machine learning community to join the global effort against climate change.
Citation impact
826
total citations
- FWCI
- 62.31
- Percentile
- 100%
- References
- 722
Citations per year
Authors
22Topics & keywords
Topics
Keywords
- Climate change
- Wonder
- Computer science
- Greenhouse gas
- Join (topology)
- Humanity
- Global warming
- Data science
UN Sustainable Development Goals
- Climate action
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