Penn postdoc publishes paper on artificial intelligence and climate change

The paper argues machine learning can be used in many climate change related areas including energy production, carbon dioxide removal, and solar geoengineering. Penn postdoctoral research fellow David Rolnick co-authored a paper on artificial intelligence's ability to help combat climate change. The paper, titled "Tackling Climate Change with Machine Learning," argues that machine learning can be used in many climate change related areas including energy production, carbon dioxide removal, and solar geoengineering, according to National Geographic. The paper was originally submitted in June and revised earlier this month. In the paper, the researchers wrote that artificial intelligence could help assess damage after disasters, select new materials to use for batteries or carbon capture technology, and reduce food waste.