返回
Tackling Climate Change with Machine Learning
DOI:10.1145/3485128.png)
摘要
En 中文
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.
Keyword:
Climate change
mitigation
adaptation
machine learning
artificial intelligence
期刊
IF:
28
论文数:
2.5K
被引数:
3.5W
机构
引用论文
Coniochaeta polymorpha, a new species from endotracheal aspirate of a preterm neonate, and transfer of Lecythophora species to ConiochaetaConiochaeta polymorpha,一种来自早产新生儿气管内吸出的新物种,并将Lecythophora物种转移到Coniochaeta
Sonic hedgehog synergizes with the extracellular matrix protein Vitronectin to induce spinal motor neuron differentiation
Development
IF0


