Topic: Computer Vision

A team led by LLNL developed a new kind of prior—a characterization of the space of natural images—for compressive image recovery that is trained on patches of images instead of full-sized images.

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LLNL’s Center for Applied Scientific Computing looks back at 2018 papers, presentations, and other activities recognizing research and innovation in data science.

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Rushil Anirudh describes the machine learning field as undergoing a “gold rush.”

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