Though Google and Facebook’s advances in facial recognition are relatively new, computer systems like this can be found all around us today. They incorporate an artificial intelligence technique called deep learning, which has proven remarkably effective at so-called machine perception tasks such as recognizing objects (by some metrics, machines are now better at this than are people), recognizing voices, and understanding the content of written text.

尽管谷歌和Facebook在人脸识别技术上最近才取得这类进步，但与之类似的电脑系统早就无处不在。它们都含有一种名为“深度学习”的人工智能技术。事实证明，这种技术能够极其有效地完成识别物体（按照某些标准来看，机器在这方面已经比人类要强了）、识别语音及理解书面文字等机器辨别任务。

Aside from Google and Facebook, companies including Microsoft MSFT 0.32% , Baidu, and Yahoo YHOO 0.63% are also investing heavily in deep learning research. The algorithms already power everyday features such as voice control on smartphones, Skype Translate, predictive text-messaging applications, and advanced image-searching. (If you have images uploaded to a Google+ account, go ahead and search them for specific objects.) Spotify and Netflix NFLX -0.82% are investigating deep learning to power smarter media recommendations. PayPal EBAY -0.13% is using it to fight fraud.

除了谷歌和Facebook外，微软、百度和雅虎也在“深度学习”研究上投入重金。这种算法已经应用在一些我们常用的功能上了，比如智能手机语音控制、Skype实时翻译、短信预测输入法及先进的图像搜索等（如果你已经将一些图片上传至Google+账户里，你就可以试试用它们来搜索特定目标）。Spotify和Netflix公司正在研究如何利用深度学习技术更智能地推荐视频。贝宝公司则将其用于打击欺诈。

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