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题型:阅读理解-阅读单选 难度:0.15 引用次数:1021 题号:9498949

To move visual technology into the future, sometimes it helps to make a little noise. Researchers have used sound waves to produce floating 3-D images, create a sense of touch and even supply a soundtrack.

Since the 1940s, scientists have toyed with the concept of acoustic levitation(声悬浮), the use of soundwave vibrations to trap tiny things in midair. The technology has gained greater capabilities in the past decade. Some researchers believe this improvement could lead to applications such as contributing to novel 3-D printing methods, or creating displays that would be visible from any angle without requiring a screen.

Other researchers have also worked on visual displays that use acoustic levitation. In addition to visuals, the system can also produce audible noise to give the display a soundtrack. And the ultrasound speakers can also concentrate vibrations in one spot so that a finger might feel a sense pushing back—a little like the object shown by the floating image is really there. Soundwaves create a 3-D display!

Display without a screen is remarkably useful. It means that everybody in the room can see the image—any angle, location—and that’s extremely helpful. As a communications system, such a display might one day allow users to chat with a 3-D projection(投影) of a person who can turn his or her head to follow as they move around a room.

The display will require a lot more work before you can install it in your living room, however. So far, this has been done in the research laboratory. We need to push it a little bit harder. We need to do more analysis to see if it would make sense to create a real display that people would have at home. The current system can only show simple graphics, such as a smiley face or figure eight, in real time.

Still, we are optimistic about the potential for this type of technology. If the system had only one speaker-covered surface instead of two, it could generate images that are bigger than the device itself. We can’t make a TV image that’s bigger than the TV—even a projector has to have a projection screen that’s bigger than the image itself. But with a volumetric(容积的) display, a small, portable device might produce a much larger picture. We can imagine, in the future, having volumetric displays in watches, for example, that create large images that just project out of your watch.

1. From the first two paragraphs soundwave vibrations can be used to _________.
A.catch very small objects in midair
B.develop 3-D printer’s capabilities
C.replace a creative display screen
D.compose soundtracks by making no noise
2. What do we know about display without a screen?
A.It has resulted in visual technology.
B.It is possible to see the image from any direction.
C.It is already ripe to create a real one at home.
D.It has yet to be tested in the research laboratory.
3. What does the last paragraph mainly talk about?
A.Outlooks for the new technology.
B.Situations of the modern technology.
C.Praise for the cutting-edge technology.
D.Room for the technical improvement.
4. What can be a suitable title for the passage?
A.Hearing Is Seeing—Sound Waves Create a 3-D Display
B.Seeing is Believing—3-D Printing Methods Arrive
C.Advancing Sense of Touch—3-D Images Float in the Air
D.Promoting TV Technology—Chat with 3-D Projections

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【推荐1】Hollywood’s theory that machines with evil(邪恶) minds will drive armies of killer robots is just silly. The real problem relates to the possibility that artificial intelligence(AI) may become extremely good at achieving something other than what we really want. In 1960 a well-known mathematician Norbert Wiener, who founded the field of cybernetics(控制论), put it this way: “If we use, to achieve our purposes, a mechanical agency with whose operation we cannot effectively interfere(干预), we had better be quite sure that the purpose put into the machine is the purpose which we really desire.”

A machine with a specific purpose has another quality, one that we usually associate with living things: a wish to preserve its own existence. For the machine, this quality is not in-born, nor is it something introduced by humans; it is a logical consequence of the simple fact that the machine cannot achieve its original purpose if it is dead. So if we send out a robot with the single instruction of fetching coffee, it will have a strong desire to secure success by disabling its own off switch or even killing anyone who might interfere with its task. If we are not careful, then, we could face a kind of global chess match against very determined, super intelligent machines whose objectives conflict with our own, with the real world as the chessboard.

The possibility of entering into and losing such a match should concentrate the minds of computer scientists. Some researchers argue that we can seal the machines inside a kind of firewall, using them to answer difficult questions but never allowing them to affect the real world. Unfortunately, that plan seems unlikely to work: we have yet to invent a firewall that is secure against ordinary humans, let alone super intelligent machines.

Solving the safety problem well enough to move forward in AI seems to be possible but not easy. There are probably decades in which to plan for the arrival of super intelligent machines. But the problem should not be dismissed out of hand, as it has been by some AI researchers. Some argue that humans and machines can coexist as long as they work in teams—yet that is not possible unless machines share the goals of humans. Others say we can just “switch them off” as if super intelligent machines are too stupid to think of that possibility. Still others think that super intelligent AI will never happen. On September 11, 1933, famous physicist Ernest Rutherford stated, with confidence, “Anyone who expects a source of power in the transformation of these atoms is talking moonshine.” However, on September 12, 1933, physicist Leo Szilard invented the neutron-induced(中子诱导) nuclear chain reaction.

1. Paragraph 1 mainly tells us that artificial intelligence may         .
A.run out of human control
B.satisfy human’s real desires
C.command armies of killer robots
D.work faster than a mathematician
2. Machines with specific purposes are associated with living things partly because they might be able to        .
A.prevent themselves from being destroyed
B.achieve their original goals independently
C.do anything successfully with given orders
D.beat humans in international chess matches
3. According to some researchers, we can use firewalls to           .
A.help super intelligent machines work better
B.be secure against evil human beings
C.keep machines from being harmed
D.avoid robots’ affecting the world
4. What does the author think of the safety problem of super intelligent machines?
A.It will disappear with the development of AI.
B.It will get worse with human interference.
C.It will be solved but with difficulty.
D.It will stay for a decade.
2017-08-09更新 | 2845次组卷
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【推荐2】Imagine looking at a view of mountaintops and wondering about the name of each peak. Suddenly, above each mountaintop, a name appears on the sky. The words are not written in smoke by skywriting planes. The words are actually not in the sky at all. They come from tiny computers in contact lenses (隐形眼镜).

Computers have become smaller and smaller over the decades. The first computers filled houses. Transistors (晶体管) and then chips allowed computers to become small enough to fit on a desktop, then a laptop, and finally a phone. When experimenting with further contraction in size, developers often have to deal with the limits of human eyesight, which control how small the computers can be and still present visible information.

One new solution employs microprojectors (微型投影机) to create a readable display (显示) for tiny computers. These machines project computer information onto any surface. Though an impressive breakthrough, there are potential problems. Such public displays can lead to privacy concerns; most people do not want their information displayed on a wall for everyone to see. Besides, these projectors are extremely expensive, and their screens give users headaches.

Babak Parviz, a researcher at the University of Washington, created another solution: inventing a screen visible only to a person wearing a contact lens. Parviz created a computer in a contact lens that uses the wearer’s field of vision as the display. To create the display, Parviz took ordinary soft contact lenses with a wirelessly controlled system. At some point, Parviz says, it will be possible to connect the lens to a remote personal computer device such as a cellphone or a laptop. By looking in a certain direction, the wearer sends the computer visual information about what he or she sees. The device then uses this information to point out the names of peaks.

These contact lenses are inserted and removed in much the same way as ordinary contact lenses. In addition, the computers in the lenses won’t block the wearer’s sight at all. Although now the computers are not on lenses treating eyesight problems, Parviz hopes that someday the technology will progress to that level.

1. The contact lenses in the text can ________.
A.treat eyesight problemsB.offer beautiful views of nature
C.project information on wall surfaceD.show information about what wearers see
2. The underlined word “contraction” in Paragraph 2 can be replaced by________.
A.expansionB.spread
C.reductionD.revolution
3. According to Paragraph 3, the microprojectors ________.
A.put people’s privacy at riskB.save computer information
C.cause serious illnessesD.support users’ needs
4. According to the passage, these contact lenses contribute to ________.
A.saving users’ expensesB.reducing computers’ size
C.limiting the field of visionD.guarding remote computers
5. What might be the best title for the passage?
A.Tiny Computers, Amazing SightsB.Smaller Lenses, Closer Views
C.Progress towards ClearnessD.Road to the Small World
2019-12-26更新 | 514次组卷
阅读理解-六选四(约280词) | 困难 (0.15)
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【推荐3】AI that Sees like Humans

For most of the past 30 years computer-vision technologies have struggled to perform well, even in tasks as boring as accurately recognizing faces in photographs.     1    . Companies are already selling products that exploit the technology, which is likely to take over or assist in a wide range of jobs that people now perform.


Recent progress in a deep- learning approach known as a convolutional neural network(CNN) is key to the latest progress.     2     While human can easily distinguish between a cat and a dog, CNNS allow machines to categorize specific breeds more successfully than people can.

CNNS do not need to be programmed to recognized specific features in images--- for example, the shape and size of an animal’s ears.     3     To train a CNN to separate an English springer spaniel (斯柏林格斯班尼犬) from a Welsh one, for instance , you start with thousands of images of animals, including examples of both breeds. Like most deep-learning networks, CNNS are organized in layers. In the lower layers, they learn simple shapes and edges from the images. In the higher layers, they learn complex and abstract concepts--- in this case, the more detailed aspects of ears, tails, tongues, fur textures, and so on.

CNNS were made possible by the tremendous progress in graphic processing units and parallel processing in the past decade. But the Internet has made a big difference as well by feeding CNNs’ appetite for digitized images.     4     The technology is making self-driving cars safer by enhancing the ability to recognize pedestrians. Insurers are starting to apply these tools to assess damage to cars. In the security camera industry, CNNS are making it possible to understanding crowd behavior, which will make public places and airport safer.

A.Once trained, a CNN can easily decide whether a new image of an animal shows a breed of interest.
B.Instead, they are taught to spot features such as these on their own.
C.Recently, though, breakthroughs in deep learning have finally enabled computers to interpret many kinds of images as successfully as, or better than, people do.
D.To give a simple example of its power, consider image of animals.
E.Computers-vision systems powered by deep learning are being developed for range of applications.
F.It excels because it is better able to learn, and draw inferences from telling patterns in the images
2019-08-24更新 | 233次组卷
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