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What dark data is, and how bringing it to light will impact society

​A Stanford computer scientist uses machine learning to build computers that can read for us.

Illustration by iStock/David Goh

The world’s scientific knowledge is accessible in a way it’s never been before. Unfortunately, much of it cannot be read or summarized efficiently, so important data remains untapped. Stanford computer scientist Chris Re is building a system that will change that. In his talk at the 2016 Global Entrepreneurship Summit partner event, “The Future of Artificial Intelligence,” Re asks, “Can we build machines to read for us?”


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