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大学英语考试
大学英语考试
全国英语等级考试(PETS)
英语证书考试
英语翻译资格考试
全国职称英语等级考试
青少年及成人英语考试
小语种考试
汉语考试
专业英语四级TEM4
大学英语三级A
大学英语三级B
大学英语四级CET4
大学英语六级CET6
专业英语四级TEM4
专业英语八级TEM8
全国大学生英语竞赛(NECCS)
硕士研究生英语学位考试
单选题Silver is the best conductor of electricity, copper ______ it closely.
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单选题Delaying the problem too long won't help ______ it.
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单选题He told me part of the story and that was ______.
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单选题In ______ of expert help, we have to rely on our own efforts. A. default B. fault C. defense D. defiance
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单选题This model is ______ to all the others on the market.
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单选题In this section, you will hear several news items. Listen to them carefully and then answer the questions that follow. Questions 21 to 23 are based on the following news. At the end of the news item, you will be given 15 seconds to answer the questions. Now, listen to the news.
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单选题Which of the following sentences is INCORRECT?
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单选题42 He knows ______ a lot more than Wagner ______ be able to pick a hole in his work offhand.
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单选题 {{I}} Questions 23 ~ 25 are based on the following news from the BBC or the VOA. At the end of the news item, you will be given 15 seconds to answer the three questions. Now listen to the news.{{/I}}
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单选题Dr. Johnson ______ the patient of the safety of the operations. A.guaranteed B.confirmed C.assured D.committed
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单选题{{B}}TEXT D{{/B}} Early in the film "A Beautiful Mind," the mathematician John Nash is seen sitting in a Princeton court- yard, hunched over a playing board covered with small black and white pieces that look like pebbles. He was playing Go(围棋), an ancient Asian game. Frustration at losing that game inspired the real Nash to pursue the mathematics of game theory, research for which he eventually was awarded a Nobel Prize. In recent years, computer experts, particularly those specializing in artificial intelligence, have felt the same fascination and frustration. Programming other board games has been a relative snap. Even chess has succumbed to the power of the processor. Five years ago, a chess-playing computer called "Deep Blue" not only beat but thoroughly humbled Garry Kasparov, the world champion at that time. That is because chess, while tithe complex, can be reduced to a matter of brute force computation. Go is different. Deceptively easy to learn, either for a computer or a human, it is a game of such depth and complexity that it can take years for a person to become a strong player. Today, no computer has been able to achieve a skill level beyond that of the casual player. The game is played on a board divided into a grid of 19 horizontal and 19 vertical lines. Black and white pieces called stones are placed one at a time on the grid' s intersections. The object is to acquire and defend territory by surrounding it with stones. Programmers working on Go see it as more accurate than chess in reflecting the ways the human mind works. The challenge of proroguing a computer to mimic that process goes to the core of artificial intelligence, which involves the study of learning and decision-making, strategic think- Lug, knowledge representation, pattern recognition and perhaps most intriguingly, intuition. Along with intuition, pattern recognition is a large part of the game. While computers are good at process- ing numbers, people are naturally good at matching patterns. Humans can recognize an acquaintance at a glance, even from the back. Daniel Bump, a mathematics professor at Stanford, works on a program called GNU Go in his spare time. "You can very quickly look at a chess game and see if there's some major issue," he said. But to make a decision in Go, he said, players must learn to combine their pattern-matching abilities with the logic and knowledge they have accrued in years of playing. One measure of the challenge the game poses is the performance of Go computer programs. The past five years have yielded incremental improvements but no breakthroughs, said David Fotland, a programmer and chip designer in San Jose, California, who created and sells The Many Faces of Go, one of the few commercial Go programs. Part of the challenge has to do with processing speed. The typical chess program can evaluate about 500,000 positions in a second, and Deep Blue was able to evaluate some 200 million positions in a second. By mitigate, most Go programs can evaluate only a couple of dozen positions each second, said Anders Kiem if, who wrote a program called, Smart Go. In the course of a chess game, a player has an average of 25 to 35 moves available. In Go, on the other hand, a player can choose from an average of 240 moves. A Go-playing computer would need about 30,000 years to look as far ahead as Deep Blue can with chess in three seconds, said Michael Reiss, a computer scientist in London. But the obstacles go deeper than processing power. Not only do Go programs have trouble evaluafing positions quickly; they have trouble evaluating them correctly. Nonetheless, the allure of computer Go increases as the difficulties it poses encourages programmers to advance basic work in artificial intelligence. Reiss, an expert in neural networks, compared a human being's ability to recognize a strong or weak position in Go with the ability to distinguish between an image of a chair and one of a bicycle. Both tasks, he said are hugely difficult for a computer. For that reason, Fotland said, "writing a strong Go program will teach us more about making computers think like people than writing a strong chess program."
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单选题It was ______ of the Queen to speak to the elderly patients. A. gracious B. graceful C. grateful D. generous
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单选题If you want children to work hard you must ______ their interests instead of their sense of duty.A. appeal toB. look intoC. give rise toD. go in for
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单选题Language change is A. universal, continuous and to a large extent, regular and systematic. B. continuous, regular, systematic, but not universal. C. universal, continuous, but not regular and systematic. D. always regular and systematic, but not universal and continuous.
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单选题In doing experiments, you must be ______ the precision instruments.
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单选题NASA's Constellation Programme would be cancelled mainly because
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