Climate Research Based on GANs Machine Learning Algorithms

Computers are already using artificial intelligence to enhance fuzzy image resolution. The fundamental method depends on the so-called GANs (Generative Adversarial Networks). A group headed by Niklas Boers, Professor for Earth System Modelling at the Technical University of Munich (TUM) and Researcher at the Potsdam Institute for Climate Impact Research (PIK) is now using these machine learning algorithms to research climate. The study team recently published its results in the Nature Machine Intelligence journal. Climate models differ from the models used to make weather forecasts, especially in terms of their broader time horizon.