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April 5, 2018 08:40 pm

Google Turns To Users To Improve Its AI Chops Outside the US

Google is betting that algorithms that understand images and text will draw business to its cloud services, make augmented reality popular, and prompt us to search using our smartphone cameras. From a report: The search company's machine learning systems work best on material from a few rich parts of the world, like the US. They stumble more frequently on data from less affluent countries -- particularly emerging economies like India that Google is counting on to maintain its growth. "We have a very sparse training data set from parts of the world that are not the United States and Western Europe," says Anurag Batra, a researcher at Google. When Batra travels to his native Delhi, he says Google's AI systems become less smart. Now, he leads a project trying to change that. "We can understand pasta very well, but if you ask about pesarattu dosa, or anything from Korea or Vietnam, we're not very good," Batra says. To fix the problem, Batra is tapping the brains and phones of some of Google's billions of users. His team built an app called Crowdsource that asks people to perform quick tasks like checking the accuracy of Google's image-recognition and translation algorithms. Starting this week, the Crowdsource app also asks users to take and upload photos of nearby objects.

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