组卷网 > 高中英语综合库 > 主题 > 人与社会 > 科普与现代技术 > 科普知识
题型:阅读理解-阅读单选 难度:0.4 引用次数:179 题号:13449775

A sensational new scientific discovery in the ocean near Australia may explain the most massive extinction of living things in Earth’s history. For years, scholars have been frustrated in trying to analyze why 90 to 95 percent of sea life and 75 percent of and life vanished about 250 million years ago. The extinctions were so enormous that they are called The Great Dying. To date, some authorities on ancient life thought that a volcanic eruption or a sudden change in the environment affected all life on Earth. Other specialists have doubted these theories, maintaining that it was not plausible that a solo volcano could bring about such chaos. From the outset, critics believed these claims were exaggerated.

By contrast, there is wide acceptance of the idea that a meteor (流星)which hit Mexico’s Yucatan peninsula 65 million years ago was the primary cause of the dinosaurs’ extinction. Nevertheless, until now they had no evidence of an intense meteor impact 185 mill on years earlier. Now they do.

American geologists have been examining rock samples from a deep sea crater (火山口)near the northwest coast of Australia. The samples were initially collected and preserved by petroleum technicians seeking oil. Now the geologists and their colleagues believe that the precise splits in the rock’s structure show a typical pattern for meteors. There is a clear distinction from volcanic patterns. In fact, a spokesperson went so far as to say that these rocks completely revise the way scientists perceive the mass extinctions from the ancient era. Academics say that the meteor’s crater s the size of Mount Qomolangma, the highest mountain on Earth! Literally, the meteor made a mark on Earth as it drowned in the sea. The Earth could not absorb such a harsh blow without sustaining global devastation. Things must have come to a standstill. Evidently, the blow was fatal for many forms of life.

Bear in mind that all this was long before mammals---including humans--emerged in Earth’s history. Still, we would be wise to pay attention to the damage a meteor can cause. Fortunately, meteor strikes on Earth are few and far between.

1. The word “plausible” (paragraph 1) is closest in meaning to “______”.
A.availableB.incredible
C.reasonableD.ridiculous
2. Why didn’t the meteor affect human beings?
A.Because they were very resistantB.Because there weren’t any then
C.Because they lived in isolated areasD.Because they hid themselves in the caves
3. Which of the following is TRUE according to the passage?
A.Scholars agreed that a single volcano caused The Great Dying
B.75 percent of land life continued 250 million years ago
C.Volcanic rocks and meteors have different patterns
D.When the meteor hit land Mount Qomolangma sprang up.
4. What is the best title for the passage?
A.The Dinosaurs’ EndB.Crater on Qomolangma
C.Contradictory ClaimsD.A Meteor’s Impact

相似题推荐

阅读理解-阅读单选(约390词) | 较难 (0.4)
名校
文章大意:这是一篇说明文。短文介绍了心理人工智能可以让人工智能变得更聪明。

【推荐1】Machine learning sees reasoning as a categorization task with a fixed set of predetermined labels. It views the world as a fixed space of possibilities, calculating and weighing them all. This approach, of course, has achieved notable successes when applied to stable and well-defined situations such as chess or computer games. When such conditions are absent, however, machines struggle.

In 2008, Google launched Flu Trends, a web service that aimed to predict flu-related doctor visits using big data. The project, however, failed to predict the 2009 HINI flu outbreak. After several unsuccessful adjustments to its algorithm (算法), Google finally stopped the project in2015.

In such unstable situations, the human brain behaves differently. Sometimes, it simply forgets. Instead of getting trapped in irrelevant data, it relies only on the most recent information and makes creative decisions. This is a feature called intelligent forgetting. Adopting this approach, an algorithm that relies on a single data point would have reduced Google Flu Trends' prediction error by half.

Intelligent forgetting is just one dimension of psychological AI, an approach to machine intelligence that also includes other features of human intelligence such as causal reasoning, intuitive (直觉) psychology, and physics. Soon, this approach to Al will finally be recognized as fundamental for solving poorly-defined problems. Exploring these amazing features of the human brain will finally allow us to make machine learning smart.

One feature of psychological Al is that it is explainable. Until recently, researchers assumed that the more transparent an AI system was, the less accurate its predictions were. This mirrored the widespread but incorrect belief that complex problems always need complex solutions. Now, this idea will be laid to rest. As the case of flu predictions illustrates, powerful and simple psychological algorithms can often give more accurate predictions than complex algorithms. Psychological AI opens up a new vision for explainable AI: Instead of trying to explain complex systems, we can check first if psychological Al offers a simple and equally accurate solution.

Without the help of human psychology, it will become clearer that the application of this type of machine learning to unstable situations eventually runs up against impassable limitations. We will finally recognize that more computing power makes machines faster. Not smarter.

1. Why is Flu Trends mentioned?
A.To clarify a concept.B.To tell the serious outbreak.
C.To support the author's idea.D.To provide readers with the truth.
2. What is the advantage of human brain according to the passage?
A.It can think outside the box.B.It can avoid unclear problems.
C.It is capable of learning over time.D.It is good at following instructions.
3. Which has the similar meaning with the underlined word “transparent” in paragraph 5?
A.Similar.B.Unique.C.Complete.D.Clear.
4. What does the author intend to tell us?
A.AI speeds up the computing greatly.
B.Psychological Al can make smarter AI.
C.AI system works well in stable situations.
D.AI will outperform the human brain someday.
2023-04-15更新 | 346次组卷
阅读理解-阅读单选(约360词) | 较难 (0.4)
名校
文章大意:这是一篇说明文。文章主要讲了你通过改进机器人的软件来改进它的软设备。然而,斯坦福大学的阿格里姆•古普塔却不这么认为。他认为还可以通过改进硬件来改进机器人的软件。他和他的同事们发明了一种方法来验证这个想法。

【推荐2】You improve your robot’s software by improving its software. Agrim Gupta of Stanford University, however, begs to differ. He thinks you can also improve a robot’s software by improving its hardware. He and his colleagues have invented a way of testing this idea.

They brought to their robots, unimals, the principles of evolution (进化) by natural selection. Unimals, with globes for heads and sticks for arms and legs, are software beings interacting with a virtual environment. The environments where they wandered were in three varieties: flat grounds, grounds with hills and steps, and ones that had the complexities of the second sort, but with added objects.

To begin with, the unimals were randomly assigned various shapes, but with identical software— derl. Newly created unimals learned to face the challenges in a virtual bootcamp. They were then entered into tournaments in groups. Each group winner was awarded one mutation (变异) —one extra arm or leg, or one extra turning in a joint. The new replaced the oldest unimal and then was assigned to a new group, and the process repeated. About 4,000 varieties of them underwent training.

The team were surprised by the diversity of shapes that evolved. Crucially, though, the researchers found the most successful unimals learned tasks in half the time their oldest ancestors had taken, and that those evolving in the toughest grounds were the most successful.

In this evolution of unimals’ morphology (形态) to promote the ability to learn, Dr Gupta sees a version of something called the Baldwin effect. In 1896 James Baldwin, a psychologist, argued that minds evolve to make the best use of the morphologies of the bodies. What Dr Gupta has shown, though in software, is that the opposite can also be true — changes in body morphology can improve the way minds work. Even though he held the software constant, it became more efficient at learning as the unimals’ bodies evolved.

Whether that discovery can be turned to account in the way robots are developed remains to be seen. But the way of testing is certainly an out-of-the-box idea.

1. How was the test conducted?
A.By promoting Unimals’ learning.B.By adjusting the environments.
C.By proving the evolution theory.D.By stimulating unimals’ mutation.
2. What turned out to be surprising in the test?
A.The number of trained unimals.B.The decline in time for learning tasks.
C.The variety of evolved shapes.D.The replacement of old unimals.
3. What can be concluded from the test?
A.Mind evolution affects body shaping.
B.Body changes better mind work.
C.Hardware changes do not impact software.
D.The discovery is useful in robot development.
4. What’s the author’s attitude to the finding?
A.Negative.B.Objective.
C.Indifferent.D.Approving.
2022-03-04更新 | 283次组卷
阅读理解-任务型阅读(约510词) | 较难 (0.4)
【推荐3】请认真阅读下面短文,并根据所读内容在文章后表格中的空格里填入一个最恰当的单词。

Do a country’s inhabitants get happier as it gets richer?

Most governments seem to believe so, given their continuous focus on increasing GDP year by year. Reliable, long-term evidence linking wealth and happiness is, however, lacking. And measuring well-being is itself full of problems, since it often relies on surveys that ask participants to assess their own levels of happiness subjectively.

Previous research has shown that people's underlying levels of happiness are reflected in what they say or write. Dr Sgroi and Dr Proto therefore consulted newspaper archives and Google Books, a collection of more than 8m titles that constitute around 6% of all books physically published. They searched these texts for words that had been assigned a psychological “valence”(效价)—a value representing how emotionally positive or negative a word is—while controlling for the changing meanings of words such as “gay” and “awful”(which once most commonly meant “to inspire awe”). The result is the National Valence Index, published this week in Nature Human Behaviour.

Placed alongside the timeline of history, the valence indices(the plural of index) for the places under study, show how changes in national happiness reflect important events. In Britain, for example, happiness fell sharply during the two world wars. It began to rise again after 1945, peaked in 1950, and then fell gradually, including through the so-called Swinging Sixties, until it reached a nadir(最低点)around 1980. America’s national happiness, too, fell during the world wars. It also fell in the 1860s, during and after the country's civil war. The lowest point of all came in 1975, at the end of a long decline during the Vietnam war, with the fall of Saigon and America's humiliating defeat.

In Germany and Italy the first world war also caused dips in happiness. By contrast, during the second world war these countries both got happier as the war continued. Initially, that might be put down to their early successes, but this can hardly explain German happiness when the Red Army was at the gates of Berlin.

The researchers assume that what is being measured here is the result of propaganda (宣传) and censorship(审查), rather than honest opinion. But they cannot prove this. Earlier in Italian history, though, there was a clear and explicable(可解释的) crash in happiness in 1848, with the failure of revolutions intended to unite into a single nation that was then half a dozen disparate states. Surprisingly, however, successful unification in the 1860s also saw a fall in happiness.

Does Wealth Ensure Happiness?

Passage outline

Supporting details

General information* The majority of governments think it does, continuously concentrating their     1     on growing annual GDP.
* More reliable, long-term evidence    2     to be explored.
* Participants of surveys give a    3     assessment on levels of happiness.
    4    of research* You can judge whether people are happy according to their    5       and writing.
* Some words usually represent positive emotions while “gay” and “awful” often mean    6    .
Typical     7    * In Britain and America, the level of happiness    8     with the start and the end of various wars.
*     9     the above two countries, German and Italy experienced a different situation.
A strange truth* Whether unification succeeds or not doesn’t necessarily     10     the high level of happiness.
2020-01-20更新 | 57次组卷
共计 平均难度:一般