Google could soon tell you which restaurants are more likely to give you food poisoning, thanks to an algorithm that can identify lapses in food safety in near real time. Working with researchers from Harvard University, Google tested a machine-learned model in Chicago and Las Vegas to identify user search queries such as “stomach cramps” or “diarrhea”, and then cross-referenced them with saved location history data — in particular recently-visited food establishments — from the smartphones used to make those searches.
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