气候变化领域集成服务门户(CCPortal): Tackling Climate Change with Machine Learning

CCPortal

DOI	10.1145/3485128
	Tackling Climate Change with Machine Learning
	Rolnick, David; 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
发表日期	2023
ISSN	0360-0300
EISSN	1557-7341
卷号	55 期号:2
英文摘要	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.
英文关键词	Climate change; mitigation; adaptation; machine learning; artificial intelligence
语种	英语
WOS研究方向	Computer Science, Theory & Methods
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000778458900019
来源期刊	ACM COMPUTING SURVEYS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/280331
作者单位	McGill University; Carnegie Mellon University; Swiss Federal Institutes of Technology Domain; ETH Zurich; University of Colorado System; University of Colorado Boulder; University of Wisconsin System; University of Wisconsin Madison; Universite de Montreal; New York University; Harvard University; Technical University of Berlin; Google Incorporated; University of California System; University of California Berkeley; Massachusetts Institute of Technology (MIT); Universite de Montreal; Polytechnique Montreal; Stanford University; University of California System; University of California Berkeley; United States Department of Energy (DOE); Lawrence Berkeley National Laboratory; University of Pennsylvania; Cornell University
推荐引用方式 GB/T 7714	Rolnick, David,Donti, Priya L.,Kaack, Lynn H.,et al. Tackling Climate Change with Machine Learning[J],2023,55(2).
APA	Rolnick, David.,Donti, Priya L..,Kaack, Lynn H..,Kochanski, Kelly.,Lacoste, Alexandre.,...&Bengio, Yoshua.(2023).Tackling Climate Change with Machine Learning.ACM COMPUTING SURVEYS,55(2).
MLA	Rolnick, David,et al."Tackling Climate Change with Machine Learning".ACM COMPUTING SURVEYS 55.2(2023).