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I would be interested in seeing how different branding terms evolve in the literature; e.g., "machine learning" vs "artificial intelligence" vs "neural net" or "surrogate model" vs "digital twin" vs "response surface". There a number of terms of art that have substantial overlap, but which term ends up being used depends on the audience, which often includes grant providers. I suspect the popularity of these terms evolves according to what terms appeal the most to funding agencies.


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