June 30, 2022, 11:18 p.m. | Allen Institute for AI

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The success of large AI models in challenging (yet conceptually simple) perception and comprehension tasks (e.g., generating images from a text description) is motivating new applications of these methods in areas previously considered to require human expertise. For example, deep learning has shown promise in replacing physics-based models to predict the weather, simultaneously learning the physics and the parameters directly from observations, ignoring hundreds of years of research in fluid dynamics. We have been considering AI applications in small-scale, high-value, …

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