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The Science of Conferring Human Capabilities on Machines Since the dawn of human ingenuity, people have devised ever more cu
The Science of Conferring Human Capabilities on Machines Since the dawn of human ingenuity, people have devised ever more cu
admin
2011-05-14
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问题
The Science of Conferring Human Capabilities on Machines
Since the dawn of human ingenuity, people have devised ever more cunning tools to cope with work that is dangerous, boring, burdensome, or just plain nasty. That compulsion has resulted in robotics—the science of conferring various human capabilities on machines. And if scientists have yet to create the mechanical version of science fiction, they have begun to come close.
As a result, the modern world is increasingly populated by intelligent gizmos whose presence we barely notice but whose universal existence has removed much human labor. Our factories hum to the rhythm of robot assembly arms. Our banking is done at automated teller terminals that thank us with mechanical politeness for the transaction. Our subway trains are controlled by tireless robot -drivers. And thanks to the continual miniaturization of electronics and micro -mechanics, there are already robot systems that can perform some kinds of brain and bone surgery with submillimeter accuracy—far greater precision than highly skilled physicians can achieve with their hands alone.
But if robots are to reach the next stage of laborsaving utility, they will have to operate with less human supervision and be able to make at least a few decisions for themselves— goals that pose a real challenge. "While we know how to tell a robot to handle a specific error," says Dave Lavery, manager of a robotics program at NASA, "we can’t yet give a robot enough ’common sense’ to reliably interact with a dynamic world. "
Indeed the quest for true artificial intelligence has produced very mixed results. Despite a spell of initial optimism in the 1960s and 1970s when it appeared that transistor circuits and microprocessors might be able to copy the action of the human brain by the year 2010, researchers lately have begun to extend that forecast by decades if not centuries.
What they found, in attempting to model thought, is that the human brain’s roughly one hundred billion nerve cells are much more talented—and human perception far more complicated—than previously imagined. They have built robots that can recognize the error of a machine panel by a fraction of a millimeter in a controlled factory environment. But the human mind can glimpse a rapidly changing scene and immediately disregard the 98 percent that is irrelevant, instantaneously focusing on the monkey at the side of a winding forest road or the single suspicious face in a big crowd. The most advanced computer systems on Earth can’t approach that kind of ability, and neuroscientists still don’t know quite how we do it.
The word "gizmos" (paragraph 2) most probably means______.
选项
A、programs
B、experts
C、devices
D、creatures
答案
C
解析
本题是词义题,难度适中。根据文章第一段第二句“That compulsion has resulted in robotics—the science of conferring various human capabilities on machines.”和第二段第二句“As a result,the modem world is increasingly populated by intelligent gizmos whose presence we barely notice but whose universal existence has,removed much human labor”,可以判断出machines和intelligent gizmos应是近义替换,而且下文列举的机器手,自动出纳机,机器人司机等都应是gizmos,所以正确答案应是C项。A、B、D项都与文章不符,是干扰项。
转载请注明原文地址:https://kaotiyun.com/show/PvQd777K
本试题收录于:
职称英语理工类B级题库职称英语分类
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职称英语理工类B级
职称英语
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