EP17: Tackling Climate Change with Machine Learning by David Rolnick, Priya L. Donti and Other

Disclaimer: This podcast is completely AI generated by ⁠⁠⁠NoteBookLM⁠⁠⁠ 🤖 Summary In this episode we chat about this paper that explores how machine learning can help tackle climate change. It recommends applying ML techniques in areas like electricity systems, transportation, buildings, industry, agriculture, and carbon dioxide removal. The authors present specific examples of how ML could be used to optimise these systems and reduce greenhouse gas emissions. The paper also discusses the use of ML in climate modelling and forecasting, as well as for supporting ecological conservation and infrastructure development. The authors stress the importance of collaboration between ML practitioners and domain experts to ensure the effective and impactful implementation of ML solutions to address climate change.

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