When a search engine guesses what you want before you finish typing it, or helpfully ignores your bad spelling, that is the resu

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问题     When a search engine guesses what you want before you finish typing it, or helpfully ignores your bad spelling, that is the result of machine learning, a branch of artificial intelligence. Although AI has been through cycles of hype and disappointment before, big technology companies have recently been scrambling to hire experts in the field, in the hope of building machines that can learn even more sophisticated tasks.
    IBM said this month it would invest $ 1 billion in a new division to develop uses for Watson, its computer that understands human language. But this week Google enhanced its lead in this field by paying around $ 660 m for DeepMind Technologies, a startup in London that has yet to announce a product. The boss of DeepMind, Demis Hassabis, previously created video games such as " Evil Genius" and "Theme Park".
    DeepMind’s 75 geniuses will join the world’s leading group of machine-learning experts, which Google has been assembling in the past few years. Google’s main source of income, its search engine and the accompanying ad-placement system, is driven by machine learning. The firm’s self-driving cars rely on it, as do the intelligent thermostats made by Nest, a firm it has just taken over, and the robots made by Boston Dynamics and other robotics outfits it has been buying.
    The technology is already the backbone of many other internet firms. It is why Facebook and Linkedln have that slightly creepy ability to find people you know, and why Amazon and Netflix are good at suggesting books and films you might like. It also helps intelligence agencies to identify terrorist networks.
    As machine learning leaves the lab and goes into practice, it will threaten white-collar, knowledge-worker jobs just as machines, automation and assembly lines destroyed factory jobs in the 19th and 20th centuries. For example, the technique has been applied by researchers at Stanford University to tell whether a biopsy of breast cells is highly cancerous, something that until now has required a human expert to assess.
    Another of DeepMind’s founders, Shane Legg, has predicted that artificial intelligence running wildly will be the biggest existential risk to humans in this century. Its founders have asked Google to set up an "ethics board" to consider the appropriate use of machine learning in its products. The creator of "Evil Genius" is ensuring that his new overlord sticks to its motto, "Don’t be evil".
Google has done the following EXCEPT______.

选项 A、gathering talents on machine-learning
B、earning money from its search engine
C、purchasing large number of automatic devices
D、taking over firms like Nest and Boston Dynamics

答案D

解析 根据Google和选项[D]中的Nest and Boston Dynamics这些大写词共同定位到第三段。选项[A]对应该段首句:DeepMind’s 75 geniuses will join the world’s leading group of ma—chihe—learning experts,which Google has been assembling in the past few years.由此可见选项[A]表述正确,其中gathering对应assembling;talents on machine—learning对应machine—learning ex—perts。即该项不是该题的答案。选项[B]对应第二句:Google’s main source of income,itssearch engine and the accompanying ad—placement system…其中该项的earning money from对应原文中的source of income。故该项表述正确,非答案。选项[C]中的purchasing让我们定位到最后一句的buying,该句的“other robotics outfits it has been buying它(Google)一直以来购进的其他自动化装备”对应[C]项“purchasing large number of automatic devices”,其中buying对应purchasing;has been buying(一直购买)对应purchasing large number of(大量购买);robotics out—fits(机器人设备,自动化设备)对应automatic devices(自动化设备),故该项表述也正确,非答案。选项[D]对应最后一句:…made by Nest,a firm it has just taken over,and the robots madeby Boston Dynamics…该句指出,Nest被Google接管,但是Boston Dynamics则没有提到,故该项的taking over firms like Nest and Boston Dynamics是错误的,故答案为[D]。
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