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题型:阅读理解-阅读单选 难度:0.4 引用次数:155 题号:12764656

Chinese scientists applied a specially developed new technology to laser-ranging (激光测距) telescopes, which enabled them to identify space waste more effectively than previous techniques, according to a study published in the Journal of Laser Applications. “After improving the pointing accuracy of the telescope through a neural (神经的) network , space debris (碎片) with a cross sectional area of one square meter ( 10 square feet) and a distance of 1 ,500 kilometers (932 miles ) can be identified," Tianming Ma, an author of the study from the Chinese Academy of Surveying and Mapping, Beijing and Liaoning Technical University, Fuxin, said in a statement.

Debris can include non-functional spacecraft, abandoned launch vehicle stages, and other mission-related space waste. It is very dangerous for astronauts and spacecraft in orbit above the Earth as they travel very fast — up to 18,000 miles per hour. Worryingly, there are probably many millions of tiny debris pieces in low-Earth orbit, and tens of thousands larger than a softball, NASA said. Fortunately, there have been surprisingly few collisions.

Laser-ranging technology has previously been used to find space waste. However, these systems have their limitations when it comes to accurately identifying small, fast-moving pieces. In fact, previous laser-ranging methods have only been accurate to within about 0. 6miles.

In an attempt to overcome the inaccuracies in laser-ranging techniques, the Chinese team used so-called neural networks to improve the effectiveness of their telescope system. Neural networks are computing systems which are inspired by biological networks in the brain. They can learn to become better at tasks without being given a specific set of rules to follow. Ma and his team tested this method against more traditional techniques at the Beijing Fangshen laser range telescope station. According to the team, this is the first time that neural network has been used to significantly improve the pointing accuracy of a laser-ranging telescope. They say that the latest findings could have significant meaning for guiding spacecraft in orbit.

1. What are laser-ranging telescopes designed to do?
A.Set up a neural network in space.
B.Find out the precise position of space waste.
C.Help the telescopes work more accurately.
D.Confirm the amount and size of space waste.
2. Which can be regarded as space debris according to the text?
A.Useless man-made objects in space.B.Fast-travelling softballs.
C.Launch vehicle stages in low-Earth orbit.D.Satellites moving too fast.
3. What can be used to describe the function of neural networks?
A.Rule followers.B.Biological computing.
C.Machine learning.D.Spacecraft guidance
4. What can be the best title of the text?
A.New Technology Used to Find Space Waste
B.The First Telescope to Handle Space Debris
C.An Invention for Astronauts and Spacecraft
D.The Substitute for Laser-ranging Telescopes

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【推荐1】Americans are worried about new technology. They are concerned that machines, including robots, will take over work now done by humans. These findings come from a new report by the Pew Research Center of Washington DC.

About 75 percent of Americans questioned by Pew said automation will increase income inequality between the rich and the middle class and the poor. And 64 percent of people expect automation to be so common in America that people will face difficulty finding things to do with their lives.

Some of the concerns about technology come from a distrust about whether machines will always make the right decision. Many Americans believe humans have better judgment in dealing with complex matters. One example is selecting a person for a job. Three quarters of Americans said they would not want to apply for a job that uses a computer program to choose the most qualified person.

Most Americans want the government to limit automation. For example, 87 percent support a requirement that all driverless vehicles have a human in the driver seat who can take control when needed. And 85 percent want to limit machines to mostly doing jobs that are dangerous or unhealthy for humans. And only 25 percent expect more jobs to come from automation, Pew said.

Mark Zuckerberg, the co-founder of Facebook, spoke last May to graduating seniors from Harvard University in Massachusetts. His talk centered on the uncertain future facing young people. “Our generation will have to deal with tens of millions of jobs replaced by automation like self-driving cars and trucks,” Zuckerberg told the graduates.

Zuckerberg said young people will have to find projects that will bring both jobs and direct benefits to the people of the world. He said in his speech that 300,000 people worked to put a man on the moon, and millions of people built, the Hoover Dam as well as other great projects over the last 100 years.

1. What do Americans think of technology?
A.Useful.
B.Effective
C.Dangerous.
D.Undependable.
2. Which of the following do the majority of Americans want the government to do?
A.Use machines to do dangerous and harmful jobs.
B.Increase job chances by introducing machines
C.Select a person for a job by computer.
D.Get rid of all driverless vehicles.
3. What did Zuckerberg encourage the students to do?
A.Refuse self-driving vehicles.
B.Create new job chances.
C.Consider large projects.
D.Fight against robots.
4. Which of the following can be the best title for the text?
A.New Technology Creates More Jobs
B.New Technology Makes New Unfairness
C.Americans Worry Robots Will Take Jobs
D.Robots Make Work Easy to Do for Workers.
2018-05-25更新 | 196次组卷
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文章大意:本文是一篇说明文。文章主要介绍了Puerto Rico遭台风袭击后对能源的思考与解决。

【推荐2】Much of Puerto Rico is still without power after Hurricane Fiona struck the island on Sept. 19. The storm laid it in darkness and thousands of people in trouble, even some missing.

Yet some see signs of hope. Over the past five years, around 50,000 solar and battery power systems have been installed on homes in Puerto Rico, says Chris Rauscher, senior director of public policy at Sunrun, the biggest residential solar company in the United States. And almost all that equipment appears to have continued supplying electricity while the island’s central power system went dark, according to market participants and industry observers.

Climate change is making hurricanes wetter and more powerful, increasing the risks to electric reliability in places like Puerto Rico. That strengthens the case for more investment in home solar set-ups, Rauscher says.

“It’s showing that renewables paired with storage ... are really the fundamental building blocks of a clean recovery that we need to really focus on on the island and elsewhere,” he says.

John Berger, chief manager of Sunnova, another big solar company, agrees, calling Puerto Rico “a window into the future.” “The technology’s just physically and fundamentally better,” than the traditional power system, Berger says. “And that’s not going to change.”

But big challenges are still hanging over the island. Lots of reconstruction is still needed. And now on top of that, the hurricane season is not over yet. “The next storm after this — and it will come, I don’t know if it’s next week or next year or two years from now, but it will come — we’ll be in even better shape than we are right now,” Berger says.

1. What did the Hurricane Fiona result in?
A.The newly-built island’s central power system.B.Power failure in much of Puerto Rico.
C.The loss of thousands of people.D.Losing eyesight of some people.
2. Why is John Berger mentioned by the author?
A.To make the point convincing.B.To give more choices for the islanders.
C.To state the status of Puerto Rico.D.To make comparisons between the two companies.
3. What is the top challenge of Puerto Rico now?
A.The reconstruction work.B.The coming hurricane.
C.The shortage of money.D.The need for a safe shelter.
4. What is the best title for the text?
A.A Severe HurricaneB.Natural Disasters Are Approaching
C.Renewable Energy Give Puerto Rico LightD.A Newly-rebuilt Island
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【推荐3】This year marks exactly two centuries since the publication of “Frankenstein; or, The Modern Prometheus,” by Mary Shelley. Even before the invention of the electric light bulb, the author produced a remarkable work of speculative fiction that would foreshadow (预示) many ethical questions to be raised by technologies yet to come.

Today the rapid growth of artificial intelligence (Al) raises fundamental questions: “What is intelligence, identity, or consciousness? What makes humans humans?” What is being called artificial general intelligence, machines that would imitate the way humans think, continue to puzzle scientists. Yet humans remain fascinated by the idea of robots that would look, move and respond like humans, similar to those depicted on sci-fi TV series such as “Humans”. Just how people think is still far too complex to be understood, let alone reproduced, says David Eagleman, a Stanford University neuroscientist. “We are just in a situation where there are no good theories explaining what consciousness actually is and how you could ever build a machine to get there.”

But that doesn’t mean crucial ethical issues involving AI aren’t at hand. The coming use of autonomous vehicles, for example, poses thorny (棘手的) ethical questions. Human drivers sometimes must make split-second decisions. Their reactions may be a complex combination of instant reflexes, input from past driving experiences, and what their eyes and ears tell them in that moment. AI “vision” today is not nearly as sophisticated as that of humans. And to anticipate every imaginable driving situation is a difficult programming problem.   

Whenever decisions are based on masses of data, “you quickly get into a lot of ethical questions,” notes Tan Kiat How, chief executive of a Singapore-based agency that is helping the government develop a voluntary code for the ethical use of Al. Along with Singapore, other governments and mega-corporations are beginning to establish their own guidelines. Britain is setting up a data ethics center India released its Al ethics strategy this spring.

On June 7 Google promised not to design or employ Al that would cause “overall harm,” or to develop Al-directed weapons or use AI for surveillance (监视) that would break international norms (规则). It also promised not to employ AI whose use would violate international laws or human rights.

While the statement is vague, it represents one starting point. So does the idea that decisions made by Al systems should be explainable, transparent, and fair.

To put it another way: How can we make sure that the thinking of intelligent machines reflects humanity’s highest values? Only then will they be useful servants and not Frankenstein’s out-of-control monster.

1. Mary Shelley’s novel Frankenstein is mentioned because it________.
A.fascinates AI scientists all over the world
B.has remained popular for as long as 200 years
C.involves some concerns raised by Al today
D.has sparked serious ethical controversies
2. In David Eagleman’s opinion, our current knowledge of consciousness________.
A.helps explain artificial intelligenceB.can be misleading to robot making
C.inspires popular sci-fi TV seriesD.is too limited for us to reproduce it
3. The solution to the ethical issues brought by autonomous vehicles________.
A.can hardly ever be foundB.is still beyond our capacity
C.causes little public concernD.has aroused much curiosity
4. Which of the following would be the best title for the text?
A.AI’s Future: In the Hands of Tech Giants
B.Frankenstein, the Novel Predicting the Age of AI
C.The Conscience of AI: Complex but Inevitable
D.AI Shall Be Killers Once Out of Control
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