单选题 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 robo-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.
单选题 Human ingenuity was initially demonstrated in______.
【正确答案】 C
【答案解析】解析:细节题。本题主要考查考生是否看懂了第一段,尤其是文章首句的意思。文章在首句指出了人们为了要处理那些危险的、枯燥的、繁重的或者只是一般肮脏的工作而进行某些智慧性的发明。这句话换个意思就是说人们在一些危险的、枯燥的、繁重的或者只是一般肮脏的工作中体现出了他们的智慧。因此C选项“发明针对困难和危险工作的工具”是正确的。
单选题 The word "gizmos"(paragraph 2)most probably means______.
【正确答案】 C
【答案解析】解析:猜词题。根据第二段中出现的“robot assembly arms”,“automated tellerterminals”,“tireless robot—drivers”等信息,而且先后出现了tools,machines之类的关键词。因此考生可以猜出“gizmos”是“设备,装置”的意思。C选项“设备”是正确答案。
单选题 According to the text, what is beyond man's ability now is to design a robot that can______.
【正确答案】 D
【答案解析】解析:细节题。答案在第三段中Dave Lavery的第二句话,即“we can’t yet give a robotenough‘common sense’to reliably interact with a dynamic world.”该句中的“dynamic”就是“动态的,变化的”意思。同时定位到第三段的首句:goals that posea real challenge,是题目what is beyond man’s ability now,的同义表达。也就是说,原文所说的be able to make at least a few decisions for themselves(独立自我判断),是人们要迎接的新的挑战,换句话也就是说人们目前没法做到这点。因此D选项“独立的应对环境变化”是正确答案。
单选题 Besides reducing human labor, robots can also______.
【正确答案】 B
【答案解析】解析:细节题。本题的答题依据是第三段中Dave Lavery说的第一句话,即“While weknow how to tell a robot to handle a specific error,”即我们知道如何告诉机器人去处理一个具体的错误。同时定位到第三段的第二句:how to tell a robot to handle a specificerror,以及第五段的第二句:robots that can recognize the error of a machine panel,均可以看出,机器人能够在人的指导下处理一下错误。所有回现都指向B选项“在人的指导下处理差错”。