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题型:阅读理解 题类:模拟题 难易度:普通

上海市崇明区2020届高三英语二模拟试卷

阅读理解

    Today's artificial intelligence may not be that clever, but it just got much quicker in understanding. A learning program designed by three researchers can now recognize and draw handwritten characters after seeing them only a few times, just as a human can. And the program can do it so well that people can't tell the difference.

    The findings, published in the journal Science, represent a major step forward in developing more powerful computer programs that learn in the ways that humans do.

    Although computers are excellent at storing and processing data, they're less-than-stellar students. Your average 3-year-olds could pick up basic concepts faster than the most advanced program.

    In short, "You can generalize," said coauthor Joshua Tenenbaum. But there's something else humans can do with just a little exposure—they can break an object down into its key parts and dream up something new. "To scientists like me who study the mind, the gap between machine-learning and human-learning capacities remains vast," Tenenbaum said. "We want to close that gap, and that's our long-term goal."

    Now, Tenenbaum and his colleagues have managed to build a different kind of machine learning algorithm (算法)—one that, like humans, can learn a simple concept from very few examples and can even apply it in new ways. The researchers tested the model on human handwriting, which can vary sharply from person to person, even when each produces the exact same character.

    The scientists built an algorithm with an approach called Bayesian program learning, or BPL, a probability-based program. This algorithm is actually able to build concepts as it goes.

    In a set of experiments, the scientists tested the program using many examples of 1,623 handwritten characters from 50 different writing systems from around the world. In a one-shot classification challenge, people were quite good at it, with an average error rate of 4.5 percent. But BPL, slightly edged them out, with a comparable error rate of 3.3 percent. The scientists also challenged the program and some human participants to draw new versions of various characters they presented. They then had human judges determine which ones were made by man and which were made by machine. As it turned out, the humans were barely as good as chance at figuring out which set of characters was machine-produced and which was created by humans.

    The findings could be used to improve a variety of technologies in the near term, including for other symbol-based systems such as gestures, dance moves and spoken and signed language. But the research could also shed fresh light on how learning happens in young humans, the scientists pointed out.

(1)、What is the passage mainly about?
A、An advance in artificial intelligence. B、A special learning program for students. C、The application of artificial intelligence    D、A new approach of developing programs.
(2)、By "less-than-stellar students" in Paragraph 3, the author means ________.
A、students are better at processing data B、computers are incomparable to students C、students are less smart than computers D、computers are less clever in some aspects
(3)、In the experiments testing BPL, what did the scientists find out?
A、Humans were slow at recognizing characters. B、BPL wrote characters in a quite different manner. C、BPL could identify and write characters as humans. D、Humans could create more characters than computers.
(4)、What can be inferred from the passage?
A、Computers learn in the same way as humans. B、The findings may help improve human-learning. C、Machine-learning is superior to human-learning. D、Young humans can understand algorithms quickly.
举一反三
阅读理解

    Anne LaBastille was born in New York City and grew up in New Jersey. Her first experience with the wilderness was in the Adirondacks in the northeast of New York, where she worked at a summer resort to earn money for college tuition by caring for the horses, giving riding lessons, and working as a waitress. And she has many chances to begin her adventure in the Adirondack wilderness.

    Anne returned to school in the fall, but she continued to spend as much time as she could in the Adirondacks. She grew to love her time alone in the mountains. Anne graduated from college with a bachelor's degree in conservation of natural resources and began working for the National Audubon Society in Florida as a wildlife tour leader.

    Although Anne took great pleasure in showing people the animals living in the Florida Keys and the Everglades National Park, she longed for the mountains in the northern parts of New York. Eventually, she decided to build a cabin near Black Bear Lake. Over the years, however, more and more tourists began hiking near her cabin. As a result, Anne decided to build another cabin deeper in the woods at Lily Pad Lake.

    Anne lived in the woods for most of her life. She enjoyed living alone in the woods, and her life was far too busy for her to be lonely. When she was not writing books, she wrote articles for National Geographic, Reader's Digest, and other magazines. In her later years, Anne conducted research in Guatemala on an endangered bird called the grebe. She also lectured nationwide about ecology. Besides, Anne worked with a number of organizations dedicated to conservation.

    As a respected guide, author, and conservationist, Anne not only loved the land but also had found a way to become part of it.

阅读理解

    For many of us, talking about money is embarrassing, especially revealing our income and spending habits in public. So it's no wonder that seeking investment advice from computer program is so popular.

    Consultancy firm Accenture found that 68% of global consumers would be happy to use robot-advice to plan for retirement, feeling it would be faster, cheaper, and fairer than human advice. “Many of our customers say they feel awkward in face-to-face meetings, preferring an online experience where they don't feel nervous,” says Lynn Smith, a director of robot-advice firm Wealth Wizards. So how does robot-advice work and is it really any better than traditional financial advice?

    Robot-adviser firms use algorithms (算法) to analyse your financial situation and goals and then work out an investment plan to suit you. Basically, you answer lots of questions online about your income, expenses, family situation, attitude to risk and so on, and then the algorithm allocates (分配) your savings to a series of investments, from index funds that aim to imitate a particular stock market index or sector, to fixed-income bonds.

    Robot-advice is certainly growing in popularity. But are we really happy to give up the human adviser completely? “No” is the short answer. Accenture finds that a significant proportion of us still want human interaction, particularly when our finances are complex. “When a customer needs advice surpassing a number of different regulatory regimes, human advice will be required, says John Perks, managing director of life and pensions at UK insurer LV, which launched its Retirement Wizard robot-advice service two years ago.

    The truth is that only about a quarter of funds managed by clever humans overcome the market as a whole, so when you take into account the much higher management fees you pay for that kind of service, the performance difference is likely to be marginal (微不足道的) for most of us.

    The robots may be coming, but in this case at least, they seem to be on the side of the small investor trying to save for a comfortable retirement.

阅读理解

    The best bikes for the beginners

    When it comes to purchasing your first bike, the choice is endless, making it tough to know what to go for. Here are the the best buys on the market right now.

⒈Boardman Cx Comp

    This is a cross country bike, and it's so multifunctional that you can handle any terrain(地势) on it , making it a great choice for those wanting to try various cycling subjects. If you leave on the thick tires it comes with, it can ride on various paths and can even handle some less demanding mountain bike routes. Alternatively, put on thin, smooth tires and treat it asa road bike. It has a basket and comes with Shimano Sora gears (变速器), which are outstanding for its price.

£650, Halfords

⒉Planet X RT-58 v2

    Planet X is based in Yorkshire, which means you'd probably have to buy this bike without seeing it. But it's worth it,because this is an excellent machine at a lower price, Planet X is a highly rated manufacturer and this model comes with Shimano Sora gearing.

£585, Planet X

⒊Specialized Allez E5

    Specialized is one of the biggest and most popular brands in cycling, and this is its hugely popular primary road bike. It comes with solid components from front to back and you'll look great out on the road.

£ 75, Evans Cycles

⒋Boardman Road Team Carbon

    If you can push your budget further still, this bike is worth the extra investment. The frame is made entirely from carbon, which is lighter, faster and more comfortable than the composition metal models above and gives you an all round and more enjoyable ride. It also means that if you get really serious about cycling, you don't have to upgrade as quickly as you would with a cheaper bike.

£800, Halfords

阅读理解

    Nearly 19 percent of teachers of color(有色人种教师) left their jobs after the 2014-2015 school year. Some left for personal reasons like taking care of their families. But 50 percent said they left because they were dissatisfied with their employment situation, such as poor working conditions, student discipline problems and large class sizes. Thus, taking immediate measures to improve it is our top priority.

    For years, researchers have proved the benefits of increasing the share of minority teachers in schools, especially as our public school system has turned to one that is made up mostly of minority students. Teachers of color, who are more likely than their white counterparts to choose to work in racially diverse( 多 种 多 样 的 ) schools, offer particular benefits to their students. Graduation rates increase among minority students when they are taught by racially similar educators, research shows. They can also serve as positive role models, and their presence reduces the chance of racial discrimination at school.

    The Shanker Institute report suggests that the rate of minority teacher hiring is not the whole problem. The problem is what happens after these teachers enter the classroom. These teachers often work in high-poverty rural schools. They are more likely to have less-desirable working conditions.

    Diversity is a key component to equality and opportunity. Where there's a diverse teaching workforce, all kids thrive. So solutions must be found at once to turn this trend around. Firstly, schools should develop mentorship programs that support minority teachers once they are in the classroom. Secondly, more money should be spent in improving working conditions in these schools. Of course, school headmasters should also be evaluated on their ability to retain teachers of color.

阅读理解

    The world is too big to take in all at once. To make sense and beauty of it, you have to look at a small part at a time.

    In using a camera, you choose a small part through he view finder. You move the camera, "framing" pictures until you see one that pleases you. Then-click! If you make a good choice, your picture will please others, as well as yourself.

    "Wherever you are," says photographer Ernst Haas, "you are surrounded by pictures. The trick is to recognize them." His photograph of a twist of barbed wire shows what he means.

    Mr. Haas tells us of ways to practice seeing. Make a simple frame of black cardboard. Take it out of the doors and look through it at everyday things, large or small, far away or near.

    At first you may see nothing to interest you. But soon pictures seem to leap (跳) at you through the frame. Oil floating on water makes a picture in rainbow colors. Three people on the steps of an old house form a picture that seems to tell a story.

    Did you notice such things before you used the frame? Perhaps not. But, with practice, you soon do not need its help. You see things as artists do. Everywhere, shapes and colors catch your eye. Your mind takes "snapshots (快照)" of their patterns. Then, if you wish, you can share what you see by taking a photograph or by making a drawing or a painting.

    Sometimes it's fun to "see small". Did you ever notice the design of the seeds in sliced bananas? Have you looked deep inside a lily? Or seen the starburst in the center of a wet ice cube?

    Do you see colors as they really are? When you paint tree trunks, you would make them brown or black. But tree trunks are really gray, purple, yellow-green—almost any color except brown or black!

    Do you notice detail? Doing so can be in many ways. Remembering what you see is often useful, too. Practice can help you.

    A trick for helping you to remember detail is the double take. Look—don't look—then look again.

阅读理解

    Judy Wright and her husband decided to move closer to their son, Chris, who lived in Georgia. About a month after the move, Judy fell ill, suffering from her ongoing (不间断的) battle against Parkinson disease.

    Her condition worsened rapidly and she required medical care at home. The family hired a nursing aid who canceled at the last minute. Instead, a woman named TunDe Hector showed up in her place.

    One day, TunDe shared a story with Judy and her family. She remembered a particularly difficult day in 2014, when a stranger had helped her with a kind gesture. She had run out of gas, and with only $5 in her pocket, was walking to a gas station. A man saw her walking and turned his car around. He paid for her gas and gave her all the cash left in his wallet. Upon hearing the story, Judy's son, Chris, took off his hat and said, "That was me!" He was the stranger that had helped TunDe on that difficult day.

    During the care of Judy, the Wright family learned about TunDe's family and her own dream. The nursing aid, TunDe hoped that one day she could become an OB-GYN nurse. Her tuition was past due (逾期) and she had a family to care for, but she was determined to achieve that goal for herself and her family.

    Judy died on July 9,2017. Instead of flowers, her family asked mourners (悼念者) to donate to TunDe's education, to assist her in paying for her nursing school. In less than a week, they raised more than $8,000 and presented her with the surprise check.

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