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".
The underlined word "hype"(Para 1, Line 3)may be closest to______.

选项 A、confusion
B、surprise
C、excitement
D、despair

答案C

解析 文章背景的cycles of hype and disappointment(——和失望的循环)中出现了“cycle循环”一词,因此可以判断hype应该与disappointment的意思相反。故四个选项中我们应该选择与“disappointment失望”意思相反的词。四个选项分别是:困惑、惊奇、激动和绝望。显然“失望”是否定词,四项中唯一一个表示肯定的词是excitement,故答案为[C]。
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