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Google AI Experts on Automation Challenge

More than 200 attendees filled Beaux Arts Ballroom on Nob Hill, San Francisco, for an eight-and-a-half-hour data-crunching challenge. 

After grouping into pairs and trios, entrants were given data from an anonymous auto parts maker and asked to predict bad batches in factory output. 

Google researchers, Quoc Le, Ming Chen and Yieng Lu,were pretty confident to lead the competition using the testing artificial intelligence software called AutoML.

Did they win?

The answer on Wired.

(Image Credit: Ian Catindig)

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