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“I’m absolutely convinced that knowledge is a big chain starting from … the neolithic times, even earlier, and reaching our times.” Skiptracing People who are thinking deeply about the future of search tend to agree that this sort of machine inference will be possible, yet there’s still no straightforward path to such a system. For all the promise and sophistication of machine learning systems, inference computing is only in its infancy. Computers can carry out massive contextualization tasks like facial recognition, but there are still many limitations to even the most impressive systems. Nevertheless, once machines can help process and catalogue huge troves of text—a not-too-distant inevitability in machine learning, many computer scientists say—it seems likely that a flood of previously forgotten artifacts will emerge from the depths of various archives. Consider a discovery that occurred in 2012, for example, when a crucial document from American history surfaced after having been lost for nearly 150 years. It was a medical report on President Abraham Lincoln’s condition, written by the first doctor to arrive at Ford’s Theatre after Lincoln was shot. The document had been sent to the surgeon general shortly after Lincoln’s death. It had the potential to change the way scholars understood one of the darkest moments in American history. It wasn’t actually lost, though.

For the original version including any supplementary images or video, visit https://www.theatlantic.com/technology/archive/2016/12/the-search-for-lost-knowledge/506879/