Researchers get humans to think like computers

Medical Xpress | March 22, 2019

Computers, like those that power self-driving cars, can be tricked into mistaking random scribbles for trains, fences and even school busses. People aren't supposed to be able to see how those images trip up computers but in a new study, Johns Hopkins University researchers show most people actually can. The findings suggest modern computers may not be as different from humans as we think and demonstrate how advances in artificial intelligence continue to narrow the gap between the visual abilities of people and machines. The research appears today in the journal Nature Communications. "Most of the time, research in our field is about getting computers to think like people," says senior author Chaz Firestone, an assistant professor in Johns Hopkins' Department of Psychological and Brain Sciences. "Our project does the opposite we're asking whether people can think like computers."

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An industry workgroup has identified the benefits of a new class of instrumentation for real-time water bioburden analysis, noting its “potential to improve pharmaceutical water system operations, reduce costs, and ensure water quality.” The instrumentation complements existing methods and, more importantly, helps users attain a better understanding of the health of their water system in order to predictively and proactively manage it.

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An industry workgroup has identified the benefits of a new class of instrumentation for real-time water bioburden analysis, noting its “potential to improve pharmaceutical water system operations, reduce costs, and ensure water quality.” The instrumentation complements existing methods and, more importantly, helps users attain a better understanding of the health of their water system in order to predictively and proactively manage it.

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