Artificial intelligence（AI，人工智能）can help us m...

Artificial intelligence（AI，人工智能）can help us make phone calls, guide us to where we want to go, or play games. 1. Researchers from Microsoft recently created the first machine translation system that can translate news articles from Chinese to English, Business Standard reported.

According to Microsoft’s official website, researchers tested the system by asking it to translate hundreds of sentences taken from news stories. 2. They concluded that the system’s translations were as good as the human translations. 3. This is partly because different words can be used to express the same meaning. It can be hard to say which word is more “correct”.

4. “Much of our research is really inspired by how we humans do things,” lead researcher Liu Tieyan said.

One method is called dual learning（对偶学习）. In this method, the system translates every sentence from Chinese to English, as well as translating the sentences back from English into Chinese. 5. This is similar to what humans do to make sure their translations are accurate.

Another method makes use of deliberation networks. This is when the system is made to translate the same sentence over and over. Gradually, the system improves the quality of its translation, like humans who would improve their own writing by going over it again and again.

A. Machine translation is always challenging.

B. However, experts used several methods to improve the system’s translation abilities.

C. Then, language experts compared the results to two translations that were done by humans.

D. Researchers collected a lot of data to help the system learn and improve.

E. And now, AI can do even more things.

F. Researchers have worked on machine translation for decades.

G. This way, the system can improve itself and learn from its own mistakes.

高二英语阅读理解中等难度题查看答案及解析

Artificial intelligence (AI人工智能) technology may soon be a useful tool for doctors. It may help them better understand and treat diseases like breast cancer in ways that were never before possible.

Rishi Rawat teaches AI at the University of Southern California’s (USC) Clinical Science Center in Los Angeles. He is part of a team of scientists who are researching how AI and machine learning can more easily recognize cancerous growths in the breast. Rawat provides information about cancer cells to a computer. He says this data helps the machine learn. “You can put the data into them and they will learn the patterns and the pattern recognition that’s important to making decisions.”

David Agus is another USC researcher. He believes that “machines are not going to take the place of doctors.” “Computers will not treat patients, but they will help make certain decisions and look for things that the human brain can’t recognize these patterns by itself.”

Once a cancerous growth is removed, doctors still have to treat the patient to reduce the risk of cancer returning. The form of treatment depends on the kind of cancer. Currently, researchers take a thin piece of tissue (组织), put it on a small piece of glass and add color to better see the cells. That process could take days or even longer. Scientists say artificial intelligence can do something better than just count cells. Through machine learning, it can recognize complex patterns, or structures, and learn how the cells are organized.

The hope is that machines will soon be able to make a quick identification of cancer that is free of human mistakes. The University of Southern California researchers are now only studying breast cancer. But doctors predict artificial intelligence will one day make a difference in all forms of cancer.

1.What can we infer from the passage?

A.Computers will replace doctors one day.

B.AI technology help doctors treat diseases mainly through counting cells.

C.Cancer once cured will not come back again.

D.Breast cancer patients will benefit a lot from the AI technology application.

2.Where can you most probably see the article?

A.Medical instructions. B.Textbook.

C.Newspaper. D.Science fiction.

3.What does the passage mainly talk about?

A.Artificial intelligence to make doctors better.

B.Great benefits from artificial intelligence.

C.New discoveries about cancer.

D.The process to recognize cancer cells.

高二英语阅读理解中等难度题查看答案及解析

Rapid progress in artificial intelligence, also called AI, and the wide use of robots across different industries are causing the worry about the growth in joblessness. People have different opinions on this development, and they mainly have focused on what to do to make sure that robots don't steal jobs.

Bill Cates, for example, have called for taxing(对…征税)robots that take away jobs. This has led to disagreement from other leading figures, such as Larry Summers, who thinks that robots are job creators and that it is totally wrong. Another idea is to use a basic income for all-the ides that everyone receives the lowest income-to pay for influence of technological unemployment. This idea also causes disagreement.

However, jobs are not created or lost because of a single technology, but because of the business system designed to make use of the power of the technology.

We have seen a similar example in history, with recorded music in the last century. It wasn't the 1930s recording technology itself that affected the jobs of the live musicians. It was its connection with radio broadcasting，jukeboxes(自动唱机)and the way businesses operated that led to the job losses. Hotels, restaurants and bars replaced live musicians with jukeboxes. A single recording could be placed over and over without requiring the appearance of the musicians.

The early recording of music destroyed the jobs of some live musicians and made them earn less money than before. The social dissatisfaction was largely about monopoly power(垄断势力)and less about the technology itself.

Job creation or loss has to be considered with everything considered. This is the best explained by looking at the difference between recorded music in the last century and robots now.

1.What's people's main attention according to the first paragraph?

A.Artificial intelligence. B.The growing opportunities.

C.Not letting robots take away jobs. D.Stopping the wide use of robots.

2.What does the underlined word "it" in paragraph 2 refer to?

A.The idea of taxing robots. B.The belief that robots steal jobs.

C.Rapid progress in artificial intelligence. D.Disagreement between leading figures.

3.What can we know about Larry Summers?

A.He agrees with Bill Gates' opinion. B.He thinks robots can create jobs.

C.He supports the idea of taxing robots. D.He praises using a basic income for all

4.What can we infer from the last two paragraphs?

A.There will be more social dissatisfaction in the future.

B.Monopoly power is a terrible social phenomenon.

C.We should tell job creation or loss with full consideration.

D.Recorded music is completely different from robots.

高二英语阅读理解困难题查看答案及解析

Artificial intelligence keeps defeating human, it is making countless victories against human in different fields of life and trying to push human to the corner.

Google’s DeepMind has defeated the world’s number one player Ke Jie. Human brain somehow has been replaced by a machine and scientists are working very hard on developing a human brain by implanting a chip and connecting it to the thick neuron that connects the two hemispheres of the brain. Well, who doesn’t want to get his brain upgraded to be as smart as the brain of Albert Einstein or Charles Darwin?

Humans will probably one day invent a brain that can be implanted in the human skull and reprogram all the human thoughts, but this invention doesn’t seems to be happening in the foreseeable future since human brain took millions of years to evolve. Some scientists believe that human will defeat death in the next twenty hundred years but they can’t really predict how long it’s going to take to develop a human brain that can completely replace the natural brain.

Despite of this accomplishment in the field of artificial intelligence, it couldn’t crease people from believing that science can’t stand alone. For instance, AI can imitate human brain and most of the time outperforms it, but there are still a lot of hidden secrets. AI outsmarted Ke Jie has consciousness unlike the AI, Ke Jie felt sad when he was defeated and buried his face in his hands but the AI didn’t feel happy and celebrate his victory.

The computer of 1960 is the same as the computer of 2017 in terms of consciousness, there is no signs so far telling us that there is an algorithm(运算)that can make a conscious computer and decipher (译解) its feelings. We can predict what the future will look like according to the past, especially from scientific point of view but the development of human brain seems unpredictable and unknown.

1.What is the possible meaning of the underlined word “neuron” in Para. 2?

A. The tube through which blood flows in your brain.

B. The kind of cell that carries information.

C. The soft fatty substance in the hollow center of bones.

D. The bony part of one’s head which encloses his/her brain.

2.What is Paragraph 3 mainly about?

A. It took millions of years for human brain to evolve.

B. Humans wish to get their brains upgraded to be as smart as possible.

C. Humans will probably invent a brain that can reprogram all the human thoughts.

D. It is hard to develop a human brain that can completely replace the natural brain.

3.“Ke Jie felt sad when he was defeated” is mentioned in Para. 4 to ________.

A. show that the AI has no human emotions

B. explain that AlphaGo is virtually unbeatable in the board game

C. tell us the accomplishment in the field of artificial intelligence

D. analyze Ke Jie’s psychological characteristics when playing the game

4.What can be the best title for the passage?

A. World Top Go Player Ke Jie Challenges AlphaGo

B. AlphaGo Teaches To use AI To benefit Humans

C. Google AI Defeats Human Go Champion

D. AI Can Imitate Human Brain And Most Of the Time Outperforms It

高二英语阅读理解中等难度题查看答案及解析

Artificial intelligence (AI) technology may soon be a useful tool for doctors. It may help them better understand and treat diseases like breast cancer in ways that were never before possible.

Rishi Rawat teaches AI at the University of Southern California’s (USC) Clinical Science Center in Los Angeles. He is part of a team of scientists who are researching how AI and machine learning can more easily recognize cancerous growths in the breast. Rawat provides information about cancer cells to a computer. He says this data helps the machine learn. “...You can put the data into them and they will learn the patterns and the pattern recognition that’s important to making decisions.”

David Agus is another USC researcher. He believes that “machines are not going to take the place of doctors.” He adds, “Computers will not treat patients, but they will help make certain decisions and look for things that the human brain can’t recognize these patterns by itself.”

Once a confirmed cancerous growth is removed, doctors still have to treat the patient to reduce the risk of cancer returning. The form of treatment depends on the kind of cancer. Currently, researchers take a thin piece of tissue, put it on a small piece of glass and add color to better see the cells. This process could take days or even longer. Scientists say artificial intelligence can do something better than just count cells. Through machine learning, it can recognize complex patterns, or structures, and learn how the cells are organized. The hope is that machines will soon be able to make a quick diagnosis（诊断）of cancer that is free of human mistakes.

“All of a sudden, we have the computing power to really do it in real time...We couldn’t have done this, we didn’t have the computing power to do this several years ago, but now it’s all changed.” Agus adds that the process could be done “for almost no cost in the developing world.” He says that having a large amount of information about patients is important for a machine to effectively do its job in medicine.

A doctor faces a series of critical decisions every day. The best a doctor can do is to make those decisions as informed as possible. Some of them are still hard to make. A doctor can ask people of whom he values their opinions and that’s it. Imagine discussing these with an AI system that is even more rational（理性的）than anyone else.

The University of Southern California researchers are now only studying breast cancer. But doctors predict artificial intelligence will one day make a difference in all forms of cancer.

1.According to Rawat and David Agus, AI can be used to ___________.

A. take the place of doctors　　 B. treat all forms of cancer

C. remove doctors’ mistakes　　 D. help doctors diagnose cancer

2.From the passage, we learn that doctors may benefit from AI because it can ___________.

A. use data to recognize patterns of cancer

B. decide on the form of cancer treatment

C. reduce the risk of cancer returning

D. monitor the medical procedure

3.What does the underlined word “critical” in Paragraph 6 mean?

A. reliable　　 B. important

C. evident　　 D. doubtful

4.What’s the best title for the passage?

A. How Do AI Systems Work?　　 B. Can AI Cure Cancer?

C. Can AI Make Doctors Better?　　 D. How Can Doctors Use AI?

高二英语阅读理解中等难度题查看答案及解析

Let us all raise a glass to AlphaGo and the advance of artificial　 intelligence. AlphaGo，

DeepMind’s Go-playing AI，just defeated the best Go-playing human，Lee Sedol. But as we drink to its success. we should also begin trying to understand what it means for the future.

The number of possible moves in a game of Go is so huge that. in order to win against a player like Lee. AlphaGo was designed to adopt a human—like style of gameplay by using a relatively recent development--deep learning. Deep learning uses large data sets，“machine learning”algorithms （计算程序） and deep neural networks to teach the AI how to perform a particular set of tasks. Rather than programming complex Go rules and strategies into AlphaGo，DeepMind designers taught AlphaGo to play the game by feeding it data based on typical Go moves. Then，AlphaGo played against itself, tirelessly learning from its own mistakes and improving its gameplay over time. The results speak for themselves.

Deep learning represents a shift in the relationship humans have with their technological creations. It results in AI that displays surprising and unpredictable behaviour. Commenting after his first loss，Lee described being shocked by an unconventional move he claimed no human would ever have made. Demis Hassabis. one of DeepMind's founders，echoed this comment：“We're very pleased that AlphaGo played some quite surprising and beautiful moves. ”

Unpredictability and surprises are—or can be—a good thing. They can indicate that a system is working well，perhaps better than the humans that came before it. Such is the case with AlphaGo. However，unpredictability also indicates a loss of human control. That Hassabis is surprised at his creation's behaviour suggests a lack of control in the design. And though some loss of control might be fine in the context of a game such as Go，it raises urgent questions elsewhere.

How much and what kind of control should we give up to AI machines? How should we design appropriate human control into AI that requires us to give up some of that very control? Is there some AI that we should just not develop if it means any loss of human control? How much of a say should corporations，governments，experts or citizens have in these matters? These important questions, and many others like them，have emerged in response，but remain unanswered. They require human，not human - like，solutions.

So as we drink to the milestone in AI, let's also drink to the understanding that the time to answer deeply human questions about deep learning and AI is now.

1.What contributes most to the unconventional move of AlphaGo in the game?

A. The capability of self-improvement.

B. The constant input of large data sets.

C. The installation of deep neutral networks.

D. The knowledge of Go rules and strategies.

2.A potential danger of Al is _____.

A. the loss of human control　　 B. the friendly relationship

C. the fierce competition　　 D. the lack of challenge

3.How should we deal with the unpredictability of AI?

A. We should stop AI machines from developing even further.

B. We should call on the government to solve these problems for us.

C. We should rely on ourselves and come up with effective solutions.

D. We should invent even more intelligent machines to solve everything.

4.What's the author’s attitude towards this remarkable advance in AI?

A. Supportive.　　 B. Optimistic.

C. Doubtful.　　 D. Cautious.

高二英语阅读理解中等难度题查看答案及解析

Let us all raise a glass to AlphaGo and the advance of artificial　 intelligence. AlphaGo，

DeepMind’s Go-playing AI，just defeated the best Go-playing human，Lee Sedol. But as we drink to its success. we should also begin trying to understand what it means for the future.

The number of possible moves in a game of Go is so huge that. in order to win against a player like Lee. AlphaGo was designed to adopt a human—like style of gameplay by using a relatively recent development--deep learning. Deep learning uses large data sets，“machine learning”algorithms （计算程序） and deep neural networks to teach the AI how to perform a particular set of tasks. Rather than programming complex Go rules and strategies into AlphaGo，DeepMind designers taught AlphaGo to play the game by feeding it data based on typical Go moves. Then，AlphaGo played against itself, tirelessly learning from its own mistakes and improving its gameplay over time. The results speak for themselves.

Deep learning represents a shift in the relationship humans have with their technological creations. It results in AI that displays surprising and unpredictable behaviour. Commenting after his first loss，Lee described being shocked by an unconventional move he claimed no human would ever have made. Demis Hassabis. one of DeepMind's founders，echoed this comment：“We're very pleased that AlphaGo played some quite surprising and beautiful moves. ”

Unpredictability and surprises are—or can be—a good thing. They can indicate that a system is working well，perhaps better than the humans that came before it. Such is the case with AlphaGo. However，unpredictability also indicates a loss of human control. That Hassabis is surprised at his creation's behaviour suggests a lack of control in the design. And though some loss of control might be fine in the context of a game such as Go，it raises urgent questions elsewhere.

How much and what kind of control should we give up to AI machines? How should we design appropriate human control into AI that requires us to give up some of that very control? Is there some AI that we should just not develop if it means any loss of human control? How much of a say should corporations，governments，experts or citizens have in these matters? These important questions, and many others like them，have emerged in response，but remain unanswered. They require human，not human - like，solutions.

So as we drink to the milestone in AI, let's also drink to the understanding that the time to answer deeply human questions about deep learning and AI is now.

1.What contributes most to the unconventional move of AlphaGo in the game?

A. The capability of self-improvement.

B. The constant input of large data sets.

C. The installation of deep neutral networks.

D. The knowledge of Go rules and strategies.

2.A potential danger of Al is _____.

A. the loss of human control　　 B. the friendly relationship

C. the fierce competition　　 D. the lack of challenge

3.How should we deal with the unpredictability of AI?

A. We should stop AI machines from developing even further.

B. We should call on the government to solve these problems for us.

C. We should rely on ourselves and come up with effective solutions.

D. We should invent even more intelligent machines to solve everything.

4.What's the author’s attitude towards this remarkable advance in AI?

A. Supportive.　　 B. Optimistic.

C. Doubtful.　　 D. Cautious.

高二英语阅读理解困难题查看答案及解析

China's largest search engine Baidu has said it will make its latest artificial intelligence (AI) technology accessible to developers and businesses as part of the company's latest move into AI, big data and cloud computing.

AI solution "Tianzhi" was launched at a cloud-computing summit held in Beijing Wednesday. It includes services in three fields: sensing technology, such as image and voice processing, machine learning, and deep learning, an advanced form of machine learning, said Zhang Yaqin, CEO of the Nasdaq-listed company, at the summit.

Developers can access facial or voice recognition, algorithms（演算法） for data analysis and projections, and deep learning applications, Zhang said, adding that the technology could help users innovate in their sectors.

"With more devices connected to the cloud, enterprises will use cloud computing and AI more frequently," said Wu Hequan, an academician at the Chinese Academy of Engineering, "Open AI technology can play a bigger role."

The company also revealed a plan to invest 10 billion yuan (1.45 billion U.S. dollars) in cloud computing in the next five years and establish an innovation center, which will serve 10 million enterprises.

1.What is the main idea of paragraph one?

A. Baidu will further develop its latest AI technology.

B. Baidu has attracted developers’ and businesses’ attention.

C. Users will be able to access Baidu’s latest AI technology.

D. A company will move to AI, big data and cloud computing.

2.“Tianzhi” includes services in the following fields EXCEPT _____.

A. sensing technology

B. voice processing

C. machine learning

D. deep learning

3.What does the underlined sentence in paragraph four probably mean?

A. It’s important for AI technology to be open.

B. AI technology is more important than the cloud.

C. People aren’t aware of the importance of AI technology.

D. Enterprises will hardly benefit from open AI technology.

4.What is Baidu’s next move according to the last paragraph?

A. Reveal a plan to invest in cloud computing.

B. Invest 10 billion yuan to serve enterprises.

C. Get invested from enterprises in the next five years.

D. Invest in computing and build an innovation center.

高二英语阅读理解中等难度题查看答案及解析

II. 语法填空：(10×2)

People can call 911 when they need help. The police   1  (come) quickly. This phone number should be used only   2  an emergency. 3 there have been some problems with people using the 911 phone number. More than half of the calls made to it are an accident. These accidental calls are not real emergencies.

Calling 911 when you do not need  4  can be very bad. It wastes the time of the people answering the calls. It can even force someone  5  has a real emergency to wait before getting the help they need.

Many accidental 911 calls come from cellphones. Sometimes keys on the phones  6  (push) and  the call goes through without the owner of the phone 7  (know) that he has called an emergency number. People are trying to find a way to solve this problem.

They are testing  8  new program that might help solve the problem of accidental 911 calls. This program will make  9  (call) of 911 push another key on the phone 10  it is a real emergency. People hope that this change will reduce the number of accidental 911 calls going through.

高二英语填空题简单题查看答案及解析

Clothes can make phone calls, play music, dial your pal's number, keep you warm during cold weather and operate your computer.

This is not a fantasy. A British company, called Electrotextiles, has created a wide range of clothes—clothes that have minds of their own! Scientists, working for the company, have invented a kind of fabric that can be blended (混合) with flexible electronic materials to create intelligent clothing. The results are electronic garments.

If you think the wearer has to be wired to different devices, think again. These designer clothes are wire-­free, soft to touch and washable! Like any electronic device, these high-­tech clothes have to be powered. Currently, a tiny nine-­volt battery serves the purpose. But the researchers hope that in the near future the clothes will generate electricity by using body heat. These clothes are 100% shock ­proof, they say.

The Electrotextiles team has also created the world's first cloth keyboard. This keyboard can be sewn into your trousers or skirt. To use this device, you will have to sit down and tap on your lap! These “lap-­tap” gadgets (器具)are all set to take over laptop computers!

Another useful garment is the shirt­-cum-­mobile phone. This handy invention enables drivers to chat comfortably with others at the wheel! Other popular electronic wear include the denim(牛仔布) jacket with flexible earphones sewn into the hood(风帽) and the electronic ski jacket with a built-­in heater. The ski jacket is also programmed to send signals to a satellite. This technology is known as global positioning system and can be used to track lost skiers and wandering kids.

Having completed the cloth keyboard, scientists have already started to work on a new project—a necktie that can be used as a computer mouse. What is the next? Do you have any idea?

1.The electronic garments are similar to other electronic devices in that________.

A．they use electricity to generate power

B．they feel smooth and soft

C．they can be washed in water

D．they are made from flexible materials

2.How will researchers improve these high­-tech clothes?

A．A tiny nine­-volt battery will work.

B．The wearer will not get shocked.

C． Body heat will be used to generate electricity

D．They will get charged automatically.

3.What does the underlined phrase “This handy invention” in Paragraph 5 refer to?

A．The laptop computer.

B．The electronic ski jacket.

C．The shirt-­cum-­mobile phone.

D．The world's first cloth keyboard.

4.If you are going on a ski adventure, which device do you need?

A．The cloth keyboard.

B．The electronic ski jacket.

C．The necktie to be used as a mouse.

D．The denim jacket with earphones.

5.The main purpose of the text is________.

A．to advertise for an English company

B．to predict the future trend of science

C．to show how rapidly science develops

D．to introduce some intelligent clothing

高二英语阅读理解中等难度题查看答案及解析