Will AI accelerate or delay the race to net-zero emissions?

成果类型:
Editorial Material
署名作者:
Luers, Amy; Koomey, Jonathan; Masanet, Eric; Gaffney, Owen; Creutzig, Felix; Ferres, Juan Lavista; Horvitz, Eric
署名单位:
Microsoft; University of California System; University of California Santa Barbara; United States Department of Energy (DOE); Lawrence Berkeley National Laboratory; Technical University of Berlin; Technical University of Berlin; Microsoft
刊物名称:
Nature
ISSN/ISSBN:
0028-4846
DOI:
10.1038/d41586-024-01137-x
发表日期:
2024-04-25
页码:
718-720
关键词:
energy
摘要:
As artificial intelligence transforms the global economy, researchers need to explore scenarios to assess how it can help, rather than harm, the climate.