The Data Is Your Palette

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While powerful compute muscle in the form of workstations, acceleration hardware, and sophisticated algorithms continues to help crunch data sets that seem to multiply at turbo-charged rates, it isn't becoming any easier for researchers to make sense of it all. "With the vast amounts of data out there, if we rely solely on traditional science and technology methodologies, scientific problems are going to become more and more difficult to solve," says Haesun Park, a professor of computer science at Georgia Institute of Technology.

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