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  3. In a former leather factory just off Euston Road in London, a hopeful firm is starting up. BenevolentAI’s main room is large and

In a former leather factory just off Euston Road in London, a hopeful firm is starting up. BenevolentAI’s main room is large and

admin2018-06-28  16
问题    In a former leather factory just off Euston Road in London, a hopeful firm is starting up. BenevolentAI’s main room is large and open-plan. In it, scientists and coders sit busily on benches, plying their various trades. The firm’s star, though, has a private, temperature-controlled office. That star is a powerful computer that runs the software which sits at the heart of BenevolentAI’s business. This software is an artificial-intelligence system.
   AI, as it is known for short, comes in several forms. But BenevolentAI’s version of it is a form of machine learning that can draw inferences about what it has learned. In particular, it can process natural language and formulate new ideas from what it reads. Its job is to sift through vast chemical libraries, medical databases and conventionally presented scientific papers, looking for potential drug molecules.
   Nor is BenevolentAI a one-off. More and more people and firms believe that AI is well placed to help unpick biology and advance human health. Indeed, as Chris Bishop of Microsoft Research, in Cambridge, England, observes, one way of thinking about living organisms is to recognize that they are, in essence, complex systems which process information using a combination of hardware and software.
   That thought has consequences. Whether it is the new Chan Zuckerberg Initiative (CZI) , from the founder of Facebook and his wife, or the biological subsidiaries being set up by firms such as Alphabet (Google’s parent company), IBM and Microsoft, the new Big Idea in Silicon Valley is that in the worlds of biology and disease there are problems its software engineers can solve.
   The discovery of new drugs is an early test of the belief that AI has much to offer biology and medicine. Pharmaceutical companies are finding it increasingly difficult to make headway in their search for novel products. The conventional approach is to screen large numbers of molecules for signs of relative biological effect, and then weed out the useless partin a series of more and more expensive tests and trials, in the hope of coming up with a golden nugget at the end. This way of doing things is, however, declining in productivity and rising in cost.
A growing number of companies believe that AI can be used to ______.
选项 A、exploit human potential
B、impair physical health
C、solve social problems
D、benefit human beings
答案D
解析 观点题。定位到第三段。其中a growing number of companies=more and more people and firms；AI can be used to=AI is well placed to，故该题答案句为：to help unpick biology and advance human health“有助于破解生物学的奥秘，促进人类健康”。选项[A]exploit human potential“开发人类潜力”，该项的human potential一词属于无中生有，故排除。选项[B]impair physical health“损害身体健康”，该项与原文advance human health“促进人类健康”完全相反，故排除。选项[C]solve social problems“解决社会问题”，该项同样属于无中生有，可以排除。选项[D]benefit human beings“对人类有益”与原文advance human health“促进人类健康”是同义替换关系，故[D]项为正确答案。
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