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题型:阅读理解-阅读单选 难度:0.4 引用次数:127 题号:6773677

Since the 1970s, scientists have been searching for ways to connect the brain with computers. Brain-computer Interface (BCI) technology could help people with disabilities send commands to machines.

Recently, two scientists, Jose Millan and Michele Tavella from the Federal Polytehnic School in Lausanne, Switzerland, showed a small robotic wheelchair directed by a person’s thoughts. In the laboratory, Tavella operated the wheelchair just by thinking about moving his left or right hand. He could even talk as he watched the vehicle and guided it with his thoughts.

“Our brain has billions of body cells (细胞). These send signals through the spinal cord (脊髓) to the body part to give us the ability to move. But spinal cord injuries or other conditions can prevent these weak electrical signals from reaching the body part.” Tavella says. “Our system allows disabled people to communicate with outer world and also to control machines.”

The scientists designed a special cap for the user. This head cover picks up the signals from the scalp (头皮) and sends them to a computer. The computer finds meanings of the signals and commands the wheelchair with an engine. The wheelchair also has two cameras that tell objects in its path. They help the computer react to commands from the brain.

Prof. Millan, the team leader, says “Scientists keep improving the computer software that finds meanings of brain signals and turns them into simple commands. The practical possibilities that BCI technology offers to disabled people can be grouped in two kinds: communication, and controlling objects. One example is this wheelchair.”

He says his team has set two goals. One is testing with real patients, so as to prove that this is a technology they can get advantages from. And the other is to ensure that they can use the technology over a long period of time.

1. BCI is a technology that can _______.
A.help to update computer systemsB.control a person’s thoughts
C.help the disabled to recoverD.connect the human brain with computers
2. How did Tavella operate the wheelchair in the laboratory?
A.By controlling his muscles.B.By using his mind.
C.By moving his hand.D.By talking to the machine.
3. Which of the following shows the path of the signals described in Paragraph 4?
A.scalp→cap→computer→wheelchairB.computer→cap→scalp→wheelchair
C.scalp→computer→cap→wheelchairD.cap→computer→scalp→wheelchair
4. The team will test with real patients to_______.
A.make money from themB.prove the technology useful to them
C.make them live longerD.learn about their physical condition
5. Which of the following statements is FALSE?
A.Scientists have been looking for ways to link the brain with computers.
B.The wheelchair designed by Millan and Tavella is directed by a person’s thoughts.
C.Spinal cord injuries can prevent these weak electrical signals from reaching the body part.
D.The wheelchair has been put in use and benefited real patients.

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【推荐1】Oh, the places you’ll go!

When it comes to habitat, human beings are creatures of habit. It has been known for a long time that, whether his habitat is a village, a city or, for real globe-trotters (周游世界者), the planet itself, an individual person generally visits the same places regularly. The details, though, have been surprisingly obscure. Now, thanks to an analysis of data collected from 40,000 smartphone users around the world, a new property of humanity’s locomotive (移动的) habits has been revealed.

It turns out that someone’s “location capacity”, the number of places which he or she visits regularly, remains constant over periods of months and years. What constitutes a “place” depends on what distance between two places makes them separate. But analyzing movement patterns helps illuminate the distinction and the researchers found that the average location capacity was 25. If a new location does make its way into the set of places an individual tends to visit, an old one drops out in response. People do not, in other words, gather places like collector cards. Rather, they cycle through them. Their geographical behavior is limited and predictable, not fancy-free.

The study demonstrating this, just published in Nature Human Behavior, does not offer any explanation for the limited location capacity it measures. But a statistical analysis carried out by the authors shows that it cannot be explained solely by constraints on time. Some other factor is at work. One of the researchers draws an analogy. He suggests that people’s cognitive capacity limits the number of places they can visit routinely, just as it limits the number of other people an individual can routinely socialize with. That socialization figure, about 150 for most people, is known as the Dunbar number, after its discoverer, Robin Dunbar.

Lehmann says his group is now in search of similar data from other primates (灵长目动物), in an attempt to work out where human patterns of mobility have their roots. For those, though, they will have to rely on old-fashioned methods of zoological observation unless they can work out a way to get chimpanzees to carry smartphones.

1. The underlined word “obscure” in paragraph 1 can be replaced by .
A.clearB.little known
C.accurateD.long forgotten
2. How can the researchers get similar data from other primates?
A.Observe the primates or let them carry smartphones.
B.Work together with Robin Dunbar.
C.Carry out statistical analysis.
D.Publish essays in Nature Human Behavior.
2018-10-26更新 | 85次组卷
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【推荐2】An online supermarket company—Ocado in the UK, has recently displayed a robotic hand that can pick fruits and vegetables!

When an embryo is in the womb (子宫), the very first sense it develops is touch. The sense of touch is also the one that lasts the longest—as we get older and our vision and hearing begins to weaken, touch still remains. Humans use their touch to protect themselves, to create emotional relationships with other people and to experience pleasure. Can you imagine life without it?

The sense of touch comes from a net work of nerve endings (神经末梢) and special touch receptors on the surface of the skin. While there are different kinds of touch receptors, they help us judge pressure, texture and vibrations (震动). They are located in our fingertips, palms, soles of our feet, face, lips and tongue.

When we touch something, the mechano-receptors feel the touch and through a network of nerves send signals to the brain. This informs the brain about the location of the touch, the amount of force used, and the speed at which it was used.

Several different techniques have been tried in the past few years to create such a robotic hand—using three fingers. But this latest design by Soma copies the human hand. The gripper (钳子) is made up of flexible materials which grasp the thing based on its size and shape. Then air pressure is used to control the movement of the robotic fingers to pick objects safely and without causing damage.

The next step would be for the robot to judge how ripe the fruits and vegetables are, and apply pressure accordingly. Members of the research team are currently working on adding computerized vision to the robots, so that they can see what they are grasping.

Does all this mean robots can replace people? According to Ocado, it helps improve productivity by removing some of the repetitive tasks done by humans.

1. What is focused on in the second paragraph?
A.The origin of touch.
B.The importance of touch.
C.The development of touch.
D.The process of transporting touch.
2. What does the underlined word "it" in Paragraph 4 refer to?
A.The brain.B.The touch.
C.The nerve.D.The signal.
3. What is the typical feature of the latest robots?
A.They can see what they're taking hold of.
B.They can take the place of people in work places.
C.They can tell whether the fruits and vegetables are ripe.
D.They can hold things firmly according to their outer features.
4. What can be a suitable title for the text?
A.A Sense of Touch for Robots
B.A Robotic Hand for Classifying Fruits
C.A Robotic Hand with a Gentle Touch
D.A Robot Made of Flexible Materials
2019-05-14更新 | 170次组卷
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文章大意:这是一篇说明文。主要介绍了机器学习是人工智能的一个分支,可以带来非常准确的预测。它通过咀嚼大量数据来寻找模式,从而可以更好地服务与社会。

【推荐3】In “minority report”, a policeman played by Tom Cruise, gathers information from three psychics (通灵者) and arrests future criminals before they break the law. In the real world, prediction is more difficult. But it may no longer be science fiction, thanks to the growing predictive power of computers. That prospect scares some, but it could be a force for good-if it is done right.

Machine learning, a branch of artificial intelligence, can lead to remarkably accurate predictions. It works by chewing vast quantities of data in search of patterns. Take, for example, restaurant hygiene (卫生). The system learns which combinations of sometimes vague factors are most suggestive of a problem. Once trained, it can assess the risk that a restaurant is dirty. The Boston mayor’s office is testing just such an approach, using data from online reviews.This has led to a 25% rise in the number of spot inspections that uncover offences.

Governments are taking notice, A London district is developing an algorithm (运算法则) to predict who might become homeless. In India Microsoft is helping schools predict which students are at risk of dropping out. Machine-learning predictions can mean government services arrive earlier and are better targeted. Researchers behind an algorithm designed to help judges make bail (保释) decisions claim it can predict likelihood of committing crimes again so effectively that the same number of people could be bailed as are at present by judges, but with 20% less crime.To get a similar reduction in crime across America, they say, would require an extra 20,000 police officers at a cost of $2.6 billion.

But computer-based predictions are sometimes debatable. ProPublica, an investigative-journalism outfit, claims that a risk assessment in Bmoward County, Florida, wrongly labelled black people as future criminals nearly twice as often as it wrongly labelled whites. Citizens complain that decisions which affect them are taken on incomprehensible grounds.

These problems are real, but they should not spell the end for machine learning as a policy tool. Instead, the priority should be to establish some ground rules and to win public confidence.The first step is to focus machine learning on applications where people stand to gain extra help at school, say, rather than extra time in jail.

1. The example of restaurants is used in paragraph 2 in order to _________.
A.illustrate how accurate the predictions are
B.urge that the government should take action
C.stress that vague factors can make a difference
D.show how machine learning changes people’s lifestyle
2. What can be inferred about the bail decisions based on the algorithm?
A.More money would be spent to uncover offences.
B.More policemen would be required to reduce crime.
C.Less crime has been reported since the algorithm was applied.
D.Fewer people that are likely to commit crimes would be bailed.
3. What conclusion does the writer draw from the risk assessment in Broward County?
A.In which area machine learning is applied matters.
B.Machine learning as a policy tool is coming to a dead end.
C.Public confidence in computer-based predictions is increasing.
D.The government should not rely on computer-based predictions.
4. Which of the following can be the best title of this passage?
A.Clever computersB.The power of learning
C.The government that depends on AID.Decisions that contribute to better algorithm
2022-06-21更新 | 130次组卷
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