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题型:阅读理解 题类:模拟题 难易度:普通

北京市延庆区2020届高三英语模拟试卷

阅读理解

Learning, Fast and Deep

    Over the past five years researchers in artificial intelligence have become the rock stars of the technology world. A branch of AI known as deep learning, which uses neural(神经的) networks to scan through large volumes of data looking for patterns, has proven so useful that skilled practitioners can command high six-figure salaries to build software for Amazon, Apple, Facebook and Google.

    The standard route into these jobs has been a PhD in computer science from one of America's top universities. Earning one takes years and requires a personality suited to academia, which is rare among more normal folk.

    That is changing.

    Last month fast.ai, a non-profit education organization based in San Francisco, kicked off the third year of its course in deep learning. Since its foundation it has attracted more than 100, 000 students around the globe from India to Nigeria. The course and others like it, come with a simple idea: there is no need to spend years obtaining a PhD in order to practise deep learning. Creating software that learns can be taught as a craft, not as a high intellectual pursuit to be undertaken only in an ivory tower. Fast. ai's course can be completed in just seven weeks.

    To make it accessible to anyone who wants to learn how to build AI software is the aim of Jeremy Howard, who founded fast.ai with Rachel Thomas, a mathematician. He says school mathematics is sufficient. "No. Greek. Letters," Mr. Howard intones, pounding the table with his fist for punctuation.

    Some experts worry that this will serve only to create a flood of unreliable AI systems which will be useless at best and dangerous at worst. In the earliest days of the Internet, only a select few nerds, namely computer holies with specific skills, could build applications. Not many people used them. Then the invention of the World Wide Web led to an explosion of web pages, both good and bad. But it was only by opening up to all that the Internet gave birth to online shopping, instant global communications and search. If Mr. Howard and others have their way, making the development of AI software easier will bring forth a new crop of fruit of a different kind.

(1)、What can we learn about deep learning?
A、It replaces artificial intelligence. B、It attracts rock stars to practice. C、It scans patterns for large companies. D、It helps technicians to create software.
(2)、Fast. ai is an organization that         .
A、ensures one to obtain a PhD B、teaches craft in ivory tower C、offers a course in deep learning D、requires weeks to apply
(3)、The underlined words "No. Greek. Letters"in Paragraph 5 means doing fast.ai course is      .
A、easy B、difficult C、interesting D、boring
(4)、It can be inferred from the last paragraph that     .
A、it is quite reliable for anyone to grasp artificial intelligence B、the Internet has brought forth a flood of useless AI systems C、opening up to all leads to instant global search and online shopping D、simplifying software development may result in unexpected outcomes
举一反三
根据短文内容,从短文后的选项中选出能填入空白处的最佳选项。选项中有两项为多余选项。

Do you dream?

    Have you ever visited some strange places in your dreams? In fact people have wondered about these strange places for long.{#blank#}1{#/blank#} However, they have been valued as necessary to a person's health and happiness.

    Historically, people thought dreams contained messages from God. It was only in the twentieth century that people started to study dreams scientifically, believing that they tell about a person's character.{#blank#}2{#/blank#} He believed that dreams allow a person to express fantasies or fears, which would be socially unacceptable in real life.

    The second theory to become popular was Carl Jung's compensation theory. Jung, a former student of Freud, said that the purpose of a dream is not to hide something, but rather to communicate it to the dreamer.{#blank#}3{#/blank#} Thus, people who think too highly of themselves may dream about falling; those who think too little of themselves dream of being heroes.

    Using more recent research, William Domhoff from the University of California found that dreaming is a mental skill that needs time to develop in humans.{#blank#}4{#/blank#} Until they reach the age of five, they can not express very well what their dreams are about. Once people become adults, there is little or no change in their dreams. The dreams of men and women differ. For instance, the characters that appear in the dreams of men are often other men, and often involve physical aggression.

    The meaning of dreams continues to be difficult to understand. {#blank#}5{#/blank#} If you dream that a loved one is going to die, do not panic. The dream may have meaning, but it does not mean that your loved one is going to die.

A. Dreams make up for what is lacking in waking life.

B. But anyway, people should not take their dreams as reality.

C. It gives scientists chances to better understand human mind.

D. They have been considered as meaningless nighttime journeys.

E. First, there was Sigmund Freud's theory.

F. They think their mind is trying to tell them something.

G. Children do not dream as much as adults.

阅读理解

    The FBI is investigating the disappearance of a visiting Chinese scholar from a central Illinois university town as a kidnapping(绑架)as her whereabouts(下落)have remained unknown since Friday.

    Zhang Yingying, 26, was last seen on June 9 near the north end of the campus of the University of Illinois at Urbana-Champaign(UIUC), wearing a charcoal-colored baseball cap, a pink and white top, jeans and white tennis shoes and carrying a black backpack. She boarded a Champaign-Urbana Mass Transit District bus and exited the West Springfield and North Mathews avenues at 1:52 pm local time(1852 GMT), police said.

    The FBI has labeled the case as a kidnapping but isn't ruling out anything, said Campus police spokesman Patrick Wade. The suspect appears to be a white male who was in a car and stopped to talk to Zhang on Friday afternoon, the FBI said. Almost one month into a yearlong appointment at the UIUC campus, Zhang's friends told police that she was heading to an apartment complex in Urbana to sign a lease(租约).

    Security camera footage(连续镜头)on Monday released by university police showed that Zhang talked to the driver of a black Saturn Astra, about five blocks from where she got off a bus in Urbana on Friday afternoon. She entered the car shortly thereafter. Zhang has not been seen or heard from since then and attempts to contact her by phone remain unsuccessful. Authorities have asked the public to help identify that vehicle.

    A massive search has been launched in Urbana in the US state of Illinois since Zhang's disappearance. Police are interviewing with her colleagues, checking local hospitals and coordinating with ride-hailing(打车)companies as part of their investigative efforts.

    In an interview with Xinhua through Wechat on Thursday, Zhang Ronggao, father of the missing visiting scholar from China's Fujian Province, expressed gratitude to all the people involved in the search and asked US police to accelerate the search.

阅读理解

    Running is often tiring and a lot of hard work, but nothing beats the feeling you get after finishing a long workout around the track.

    But while it's long been believed that endorphins (脑内啡)—chemicals in the body that cause happiness — are behind the so-called “runner's high”,a study suggested that there may be more to this phenomenon than we previously knew.

    According to a recent study published by a group of scientists from several German universities, a group of chemicals called endocannabinoids (内源性大麻素)may actually be responsible for this familiar great feeling.

    To test this theory, the scientists turned to mice.

    Both mice and humans release high levels of endorphins and endocannabinoids after exercise, along with many other chemicals. After exercising on running wheels, the mice seemed happy and relaxed and displayed no signs of anxiety.

    But after being given a drug to block their endorphins the change. However, when their endocannabinoids were block with a different drug, their runner's high symptoms seemed to fade.

    “The long-held notion of endorphins being responsible for the runner's high is false. Endorphins are effective pain relievers, but only when it comes to the pain in your body and muscles you feel after working out,”Patrick Lucas Austin wrote on science blog Lifchacker.

    Similar studies are yet to be carried out on humans, but it's already well known that exercise is a highly effective way to get rid of stress or anxiety.

    The UK's National Health Service even prescribes (开药方)exercise to patients who are suffering from depression.

    “Being depressed can leave you feeling low in energy, which might put you off being more active. Regular exercise can boost your mood if you have depression, and it's especially useful for people with mild to moderate (中等的)depression,” it wrote on its website.

    It seems like nothing can beat that feeling we get after a good workout, even if we don t fully understand where it comes from. At least if we're feeling down, we know that all we have to do is put on our running shoes.

阅读理解

With more recognition than Halloween and less than Christmas, Valentine's Day as an imported festival faces a dangerous situation in China, where it's caught between forces of tradition and fashion. Valentine's Day has a natural enemy in China. And it is not the Chinese equivalent, which falls on the seventh day of the seventh month on the lunar calendar, usually around half a year away from Feb. 14. It is the Spring Festival, also known as the Chinese New Year, that will influence the Feast of Saint Valentine.

The real disagreement between East and West probably took place over a century ago, when China's door was forced open by Western powers and Chinese scholars supported westernization as a means to strengthen our nation's ability to compete.

The introduction of the solar calendar and Western measurements was both an acknowledgment of their influence and an effort to be accepted by the world order.

For a full century, we have had two systems running in parallel. When it comes to the eventual outcome, practicality usually beats all other concerns. Laws can help, such as the three traditional festivals of Tomb Sweeping, Dragon Boat and Mid­Autumn gaining legal status in 2008 and giving every Chinese citizen a day off, but laws cannot push what people have no feelings for. So, the celebration or boycott of imported holidays or homegrown ones should be no cause for worry. If they are irrelevant, no social media will change the public's mind; and if they are accepted, there must be a need which they happen to satisfy.

Since we have no global Qin Shihuang to force one system on every country, we can always rely on a dual (双重的) approach by which we share with the outside world on the one hand but preserve our own ways of life on the other.

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