In a lab next to the river on New York's Upper West Side a computer will soon start reading. It is part of a cadre of computers that are learning to read mote like humans, helping us digest and understand society's huge volumes of text on a large scale. Called the Declassification Engine, it will comb through 4.5 million US State Department cables from the 19305 to the 1980s--everything the department has declassified so far. It's more than any human could read, but the software will analyze the lot, mapping social connections and looking for new narratives about the behavior of US diplomats and officials abroad in the 20th century, says Owen Rainbow, a computer scientist at Columbia University which runs the Declassification Engine.
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