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题型:阅读理解-阅读单选 难度:0.65 引用次数:81 题号:16357531

Did you know that 9 out of 10 Americans check the weather more than three times a day? Weather forecasting certainly plays a major role in our daily lives. DeepMind, a Google artificial intelligence company, has developed the Nowcasting, a new AI system that can calculate the chances of rain within the next 90 minutes!

DeepMind aims to find solutions to real-life science problems. In December 2020, for example, the company successfully used AI to predict the shapes of virtually every protein in the human body, as well as in twenty of the most studied animals This will aid scientists in developing drugs to cure diseases.

Now, DeepMind has used Al technology to create a system that can accurately predict rainfall within the hour. Engineers at DeepMind worked with researchers at the University of Exeter and the Met Office, the UK’s national weather service.

The researchers “trained” their AI model to predict the time and location of rainfall by feeding it radar data that represents the formation and movement of clouds across the country. Once “trained”, the AI system can generate (生成), its own data from the patterns. To understand this better, imagine that you pause a movie halfway. Having watched enough of the movie to follow the story, you might form your own predictions of what could happen next. Similarly, the AI can make a conclusion based on the radar patterns it has analyzed thus far.

Current forecasting techniques use weather prediction systems based on equations. Even though they are extremely powerful, these systems perform better with long-term forecasts. Since the AI system draws on real-time radar data, it has proven useful in forecasting weather in the short term. It is especially accurate in forecasting location, movement, and amount of rainfall. This was confirmed by 56 professional weather forecasters who tested the system. By predicting storms quickly and efficiently, the system could help save lives, by enabling local populations to prepare for extreme weather events.

Researchers are currently seeking to improve the AI system’s accuracy. Nowcasting presents an exciting opportunity to effectively predict weather events, especially rare or intense ones caused by our changing environment.

1. What can we know about DeepMind?
A.It works on developing drugs to cure diseases.
B.It has developed the Nowcasting on its own.
C.It focuses on addressing real-life science problems.
D.It has predicted the shapes of almost every animal’s protein.
2. Why “a movie” is mentioned in Paragraph 4?
A.To explain what the radar data represents.
B.To show the Al in the movie has come true.
C.To highlight radar data is of great significance.
D.To illustrate how the system can predict rainfall.
3. What can we learn from Paragraph 5?
A.The Nowcasting performs well with long-term forecasts
B.The Nowcasting’s real-time radar data is based on equations.
C.The Nowcasting’s accuracy has been confirmed by professionals.
D.The Nowcasting can save people trapped in extreme weather events.
4. Which of the following is the researchers’ present goal?
A.To improve Nowcasting’s reliability.B.To record the changing environment.
C.To expand Nowcasting’s market share.D.To do research on rare weather events.
【知识点】 科学技术 说明文

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【推荐1】Whether in the home or the workplace, social robots are going to become a lot more common in the next few years. Social robots are about to bring technology to the everyday world in a more humanized way, said Cynthia Breazeal, chief scientist at the robot company Jibo.

While household robots today do the normal housework, social robots will be much mow like companions than mere tools. For example, these robots will be able to distinguish when someone is happy or sad. This allows them to respond more appropriately to the user.

The Jibo robot, arranged to ship later this year, is designed to be a personalized assistant. You can talk to the robot, ask it questions, and make requests for it to perform different tasks. The robot doesn’t just deliver general answers to questions; it responds bawd on what it learns about each individual in the household. It can do things such as reminding an elderly family member to take medicine or taking family photos.

Social robots are not just finding their way into the home. They have potential applications in everything from education to health care and are already finding their way into some of these spaces.

Fellow Robots is one company bringing social robots to the market. The company’s “Oshbot” robot is built to assist customers in a store, which can help the customers find items and help guide them to the product’s location in the store. It can also speak different languages and make recommendations for different items based on what the customer is shopping for.

The more interaction the robot has with humans, the more it learns. But Oshbot, like other social robots, is not intended to replace workers, but to work alongside other employees. “We have technologies to train social robots to do things not for us, but with us,” said Breazeal.

1. How are social robots different from household robots?
A.They can control their emotions.B.They are more like humans.
C.They do the normal housework.D.They respond to users more slowly.
2. What can Oshbot work as?
A.A language teacher.B.A tour guide.
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3. We can learn from the last paragraph that social robots will          .
A.train employeesB.be our workmates
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4. What does the passage mainly present?
A.A new design idea of household robots.B.Marketing strategies for social robots.
C.Information on household robots.D.An introduction to social robots.
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Now, tech companies have updated their software. Facial recognition technology can now identify people even if they are wearing a mask.

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Huang admits one big weakness of this technology: It fails when people wear both a mask and sunglasses. “In this situation, all of the key facial information is lost,” Huang said to E&T.

1. What does the underlined word “hassle” in paragraph 1 probably mean ?
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B.China’s moon exploration is much later than the US’s.
C.China’s moon exploration is developed to compete with the US’s.
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