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题型:阅读理解-阅读单选 难度:0.65 引用次数:36 题号:14241173

The AI research arm of Alibaba created a machine learning model that received a higher score on the Stanford Question Answering Dataset than humans. The database consists of more than 100,000 questions to test reading comprehension.

In early January this year the Alibaba AI software machine scored 82.44 on the test while humans scored 82.304. Besides, computers and AI have already defeated humans, for example in games such as chess. However, it seemed that language skills were superior in humans as machines find languages hard to master.

A large number of call center employees, often in developing countries, may be out of work soon if the AI robots are cheaper and as effective as human labor. Soon when you phone a company for information the conversation will go like this: “ We are sorry but all our robots are busy right now. We value your call. Please stay on the line until a robot is free to serve you. There are just 12 callers ahead of you.” A robot will serve you some popular tunes while you wait.

Si Luo, who is a chief scientist of natural language processing at Alibaba’s AI research group noted that questions such as “What causes rain?” can now be answered with a high degree of accuracy by robots. Si Luo said, “ We believe the foundational technology can be gradually applied to a lot of applications such as customer service, museum tutorials, and online responses to inquiries from patients, freeing human efforts in a new way.”

Si Luo’s team is working closely with Ali Xiaomi, a mobile customer service chatbot. Ali Xiaomi can be customized to be used on Alibaba’s platforms such as Taobao and Tmall. The new AI robots could answer consumers’ questions as they did the Stanford questions. The robots would look for the answers from prepared information. However, there are limits to what the system will be able to do. If questions do not have clear-cut answers, or the questions asked are too unclear or ungrammatical, the robot may not be able to deal with them.

1. What can we learn about the Alibaba AI software machine?
A.It has been tested in some areas.B.It has become popular since January.
C.It has offered a special learning style.D.It has made people interested in reading.
2. What does the example in paragraph 3 show about the AI robots?
A.They should have better language skills.
B.They may replace humans in some fields.
C.They need to be customized to serve customers.
D.They will be widely used in developing countries.
3. How does Si Luo feel about the foundational technology?
A.Doubtful.B.Worried.C.Curious.D.Confident.
4. What can we infer from the last paragraph about Ali Xiaomi?
A.It needs to improve in some ways.B.It is connected with another system.
C.It is a platform to show good service.D.It can answer any questions accordingly.
【知识点】 科学技术 说明文

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【推荐1】The answer to traffic jams on the highways around airports could be electric air taxis. But this is not a futuristic dream. United Airlines is helping to make it a reality.

The carrier is ordering 200 electric air taxis, also called eVOTL planes, from Eve Air Mobility which designed vehicles for short distance-like going from city centers to airports-that can seat four passengers. The eVOTL planes take off and land like helicopters.

These vehicles that are due to be delivered in 2026 can fly from rooftop to rooftop. These types of vehicles are more environmental than using ground transportation. That’s because the air taxis use electric engines that have no carbon emissions(碳排放). This will reduce pollution and noise levels by 90 percent, according to United Airlines and Eve Air Mobility.

“Our agreement with Eve shows our confidence in the urban air mobility market and serves as another important step toward our goal of net zero carbon emissions by 2050,” said Michael Leskinen, president of United Airlines Ventures. “We’ll get there not with empty gestures, but by taking the harder path of actually reducing the emissions from flying.” If the company meets its goal of reducing its carbon footprint to net zero, it will be the first US airline to do so.

This isn’t United’s first try for environmental protection. The company started using bio-fuel(生物燃料) in flights from Los Angeles in 2016. It was the first airline in the US to promise to significantly use bio-fuel and this could cut emissions by 60 percent. From baby steps to flying ones, this airline is working on its commitment to the environment. Hopefully this is just one part of a global commitment to green the airline industry.

1. How does the author introduce the takeoff and landing of eVOTL planes?
A.By providing a long list.B.By using experts’ words.
C.By making a comparison.D.By referring to a news report.
2. What can we learn about the eVOTL planes?
A.They make no noise when flying.B.They each can hold eight passengers.
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3. What can be inferred about United Airlines?
A.It promises to use bio-fuel in 2050.B.It has a pioneering spirit.
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4. What might be the best title for the text?
A.The Promising Future of Air Travel Is Seen Now
B.More Companies Are Developing Green Technologies
C.Electric Air Taxis Will Make Getting to the Airport Easy
D.Electric Air Taxis Will Be Put Into Wide Use in the Future
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【推荐2】Have you ever wanted to see your dreams after you woke up? Artificial intelligence (AI) technology may help you do this in the near future!

Researchers from Osaka University in Japan have trained an AI system to recreate images in people’s heads. The pictures AI has created include a teddy bear, an airplane and a clock tower. The technology is 80 percent accurate, reported Science magazine.

Previously there have been AI models that can turn a word or phrase into images. The AI has studied lots of images and their text descriptions. Over time, the AI can find patterns and recreate pictures if you first input text.

This time, the researchers took a step further. They trained the AI to link people’s brain scan data with images. They asked four people to look at 10, 000 different images, and let the AI find patterns of blood flow in the brain. Then the patterns can be related to the images.

If people looked at an airplane, the AI would use the brain scan data to create an image of a very cloudy airplane. Then, it would turn on the previous “text - to - image” model. By feeding the keyword “airplane”, the AI would improve the image and make it more real.

“It’s a new method that combines textual and visual information to ‘decipher the brain’”, Ariel Goldstein from Princeton University told Science magazine.

Researchers said the technology could someday help people with paralysis to communicate. It might also help scientists understand dreams or even how other animals see the world.

1. What do we know about the AI system mentioned in Paragraph 2?
A.It can help train people’s minds.B.It can fully present people’s dreams.
C.It was created for drawing people’s heads.D.It can recreate pictures in people’s heads.
2. How did the previous AI models turn phrases into images?
A.By understanding the meaning of the words.
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3. What is the working process of the new AI system?
A.relate with image→scan blood flow→improve the text→turn into the image
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4. What is the last paragraph mainly about?
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C.What the new AI technology could be used for.
D.How AI technology affects people’s dreams,
5. Which part of a newspaper may this text appear?
A.Entertainment.B.Health.
C.Education.D.Science.
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Millions of smartphone-carrying people drive over bridges every day. If the new method is put into use, it will go a long way towards making bridges much safer.

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A.Smartphones can change people’s everyday life.
B.Smartphones can entertain people in many ways.
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D.Smartphones can detect the condition of bridges.
2. Why does the author mention “San Francisco” and “Ciampino” in paragraph 2?
A.To present the locations of the study.B.To tell how the study was carried out.
C.To stress the accuracy of the data.D.To make a comparison.
3. How did the researchers get the result of the study?
A.By fixing sensor apps on certain bridges.
B.By comparing data from two different sources.
C.By collecting information about bridge safety.
D.By referring to different drivers’ comments.
4. What do the researchers think of their bridge-detecting approach?
A.It’s time-consuming.B.It’s challenging.
C.It’s promising.D.It is far from satisfactory.
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