[1906.05433] Tackling Climate Change with Machine Learning

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.

38 mentions: @david_rolnick@hardmaru@johnplattml@tegan_maharaj@priyald17@efesce@rmaestrem@jack_kelly
Date: 2019/06/14 02:18

Referring Tweets

@david_rolnick Want to help solve #ClimateChange? Here’s what #MachineLearning can do. Detailed recommendations for researchers, entrepreneurs, and public/private stakeholders. #ClimateChangeAI Full paper: https://t.co/7mCSnHbaUy https://t.co/V4YocLJqMG
@hardmaru Tackling Climate Change with Machine Learning A 54-page paper consisting of 12 articles written by @david_rolnick and many other collaborators on this important topic. https://t.co/7TnbqrXDij https://t.co/O1dHFirrLq
@johnplattml Learn how AI and ML can help ameliorate #climatechange --- review paper by many skilled people https://t.co/GUN2ZN2Gzq

Related Entries

Read more COTA: Improving Uber Customer Care with NLP & Machine Learning
Read more GitHub - asavinov/lambdo: Feature engineering and machine learning: together at last!
Read more GitHub - slundberg/shap: A unified approach to explain the output of any machine learning model.
Read more Variational Autoencoder in Tensorflow - facial expression low dimensional embedding - Machine learni...
Read more Proceedings of Machine Learning Research