University of Birmingham experts examine the implications of ‘climate AI’ - can machine learning outperform traditional climate models?
University of Birmingham experts examine the implications of ‘climate AI’ - can machine learning outperform traditional climate models?
As we approach COP30, in Brazil, ‘climate AI’ will be a buzzword in discussions on how to slow the advance of global warming. In this race against time, it is tempting to think of climate AI as a competition: can machine learning outperform traditional climate models?
This is the wrong contest: physics-based models remain the only way to explore futures we have never observed and guarantee that basic laws—mass, momentum, energy—are respected. AI, in turn, excels at finding patterns and links between different variables, accelerating computation, and turning torrents of observations into usable signals. The prize is combining the two so society gets understandable, reliable answers to critical questions.
Read More: University of Birmingham
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