![]() Google is not the only company exploring that idea. Embedding the intelligence that artificial neural networks can provide into gadgets so they don’t have to link to the Internet for tasks has clear benefits. It’s the first time Google has used that trick, but it likely won’t be the last. ( This blog post has more details on how.) Then they carefully shrank them down without compromising their accuracy too much. Google’s engineers first trained much larger and more powerful neural networks to find and recognize different letters. They live inside the translation app and recognize the characters used by the different languages, even when they’re not crisp and appear against the clutter of everyday life. That’s possible because Google’s engineers created slimmed-down versions of the artificial neural networks it uses in a technique called deep learning (see “ 10 Breakthrough Technologies 2013: Deep Learning”).
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