This is all just research, but it points to a near future where the types of crime-fighting, or surveillance-enhancing, computers we often see on network television and blockbuster movies will be much more attainable. Or perhaps a world where online dating is even simpler (and shallower) than swiping left or right on Tinder.

目前这还仅仅是研究而已，但它预示着，在不远的将来，我们经常在网上视频或大片里看到的那种能惩治犯罪、加强监控的电脑将更加触手可及。比起在交友应用Tinder上划来划去，它可能会使网上交友更加简单（也更停留于表面）。

Have a thing for Brad Pitt circa 1998? Here are the 500 profiles that look the most like him.

很喜欢1998年左右时的布拉德o皮特？这个数据库里有500张看起来很像他的脸。

At first we’ll see systems like Google’s FaceNet and Facebook’s aforementioned system (dubbed “DeepFace”) make their way onto those company’s web platforms. They will make it easier, or more automatic, for users to tag photos and search for people, because the algorithms will know who’s in a picture even when they’re not labeled. These types of systems will also make it easier for web companies to analyze their users’ social networks and to assess global trends and celebrity popularity based on who’s appearing in pictures.

一开始，我们会看到谷歌的FaceNet及Facebook的DeepFace系统在各自的网络平台上运行。它们会让用户更加方便地（或者说更加自动化地）给照片贴上标签，找到要找的人，因为这些算法知道照片中的这个人是谁，即使这些照片并没有姓名标记。此外，这类系统还能让网络公司更加方便地基于照片人物的身份，来分析它们的用户社交网络，评判全球流行趋势及名人的受欢迎程度。

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