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Imagining and preparing for the future in order to guide research and public policy is the very purpose of foresight. A perilous exercise, scientists point out. And one that requires dialogue between disciplines, along with solid models accounting for multiple uncertainties.
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Whether it is performed by humans or computers, matrix multiplication is a tiresome task. Researchers are striving to reduce the time and number of steps required to solve such operations.