1. 利用本单元所学知识完成句子;
2. 使用恰当的过渡衔接词连句成篇。
①1986年美国“挑战者号”航天飞机发生解体,机上7名机组人员丧命,给人类太空探索蒙上了阴影。(现在分词短语作结果状语+非限制性定语从句)
②尽管这项工作危险且困难重重,但人类对宇宙和银河系的探索从来没有停下脚步。(though引导倒装的让步状语从句)
③以中国为例,中国在贵州省建成了世界上最大的射电望远镜,把看不见的太空微粒收入眼中。
④人类已经步入了新时代,对太空的探索会越走越远。(with复合结构)
⑤无论遇到什么样的困难,中国人民会继续和平利用太空,参与到为人类谋福利的活动中。 (no matter what引导让步状语从句)
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Clair mentioned that she
Bing Dwen Dwen, the mascot (吉祥物) of the Beijing Winter Olympics, is a cute panda whose
Have you ever wondered why it is called Bing Dwen Dwen? In Mandarin (普通话) bing has several meanings, though the most common is “ice”. The character also symbolizes purity (纯洁) and strength, while dwen dwen means “strong and lively”.
Do you know why the mascot wasn’t named Bing Dundun in English? To read Bing Dundun correctly, you would have to be familiar with the pinyin system, which is
There are some immediate advantages. The biggest is that the tone has been mixed into the spelling of each syllable (音节). The transliteration (音译) of Bing Dwen Dwen this time does work and is
4 . Nick Verel, a 53-year-old kidney transplant (肾脏移植) recipient in Ohio, should have been near the top of the list to receive a COVID-19 vaccine (疫苗). Yet like millions of others, he wasn’t having any luck scheduling an appointment. Nick would sit with computers on his lap trying for hours to book an appointment on different sites, which ended up in vain no matter how concentrated he was. “I felt hopeless,” Nick says.
Then he heard about Zwinggi, a 40-year-old mother of three who was helping to secure appointments for vulnerable individuals like Nick. So he messaged Zwinggi on Facebook: Can you help? Thirty-five minutes later, Zwinggi reported back — Nick successfully had an appointment to get the vaccine.
The underlined words “vulnerable individuals” in paragraph 2 refer to those ______.A.who are too old to book an appointment | B.who need vaccine badly with serious disease |
C.who have little experience with computers | D.who have little spare time with many kids |
5 . When you think about it, food is an important part of our lives. Family gatherings center around food and the celebration of major life events and milestones involves food in one way or another. The same holds true for us here on the Space Station. Food is important and ends up usually being a topic of discussion for almost every crew.
......
Our food also comes packaged in many ways. But no matter what the form of the food though, you still have the same problem eating it- - you do not want it flying away from you and making a mess when you open it up. In this case a little bit of extra water is extremely helpful. It keeps the food kind of sticking together and to the package and to your spoon. Small things do escape from time to time, but we really try hard to minimize the random flying food problem. That is enough for now! Next time I will write about how to cook in space.
Where is the text most probably taken from?A.A food magazine. | B.An astronaut’s journal. |
C.A sci-fi handbook. | D.A space history website. |
1. What is the main idea of the text?
A.The advantages of robots. |
B.Robots in the future. |
C.The good and bad sides of robots. |
A.She doesn’t care much about robots. |
B.Robots are taking place of human beings. |
C.Robots have more advantages than disadvantages. |
A.In industry. | B.In agriculture. | C.In education. |
A.Two. | B.Three. | C.Four. |
A blogger from Sichuan, nicknamed “AI Crazy House,”
Through deep learning and innovative techniques, AI reinterpreted this Chinese literary masterpiece,
The blogger, Mr. Feng, has 15 years of art experience. He stated that the video,
He also explained the steps
He mentioned using ChatGPT to analyze the original text, complete storyboard planning, use AI painting software for drawing,
These processes
8 . Recently, as a journalist, I have published many stories about social media, privacy and artificial intelligence (AI), among other things. So when ChatGPT told me that my output may have influenced its responses to other people’s prompts (提示), I rushed to wipe my data from its memory. As I quickly discovered, however, there is no delete button. AI-powered chatbots never forget what they have learned, because they are trained on data sets including vast numbers of websites and online articles. As long as they exist on the Internet, they get to be remembered.
That means the likes of ChatGPT are possible to let out sensitive personal information, if it has appeared online, and that the companies behind these AIs will struggle to make good on “right-to-be-forgotten” regulations, which force organizations to remove personal data on request. It also means we are powerless to stop hackers (黑客) controlling AI outputs by planting misinformation or ill instructions in training data. All of these explain why many computer scientists are busy to teach AIs to forget. While they are finding that it is extremely difficult, “machine unlearning” solutions are beginning to appear. And the work could prove vital beyond addressing concerns over privacy and misinformation.
The new generation of AI-powered chatbots like ChatGPT, which produce text in response to our prompts, are underpinned by large language models. These are trained on mountains of data, most of which is scraped from the Internet. From this, they learn to spot statistical patterns, which means they can predict the likeliest next word in a sentence, producing fluent answers to our every question.
The trouble is that the way AI chatbots work means that when they learn something, it can’t be unlearned. This creates a significant problem when it comes to privacy, as Dr. Zhang made clear in recent research. He highlighted how difficult it will be for AI companies to obey the “right to be forgotten”, which the European Union declared a human right back in 2014.
1. Why can chatbots store what it has learned forever?A.Lack of a delete button. | B.Manual code entry. |
C.Strong review ability. | D.The way they are trained. |
A.Because AI has many security risks. | B.Because AI stores limited information. |
C.Because AI needs to be updated regularly. | D.Because AI imitates humans completely. |
A.Chatbots can answer 90% of the questions. |
B.Chatbots’ data comes from the designer’s software. |
C.Chatbots produce the answers based on the prompts. |
D.Chatbots can predict your problems in advance. |
A.Controlled. | B.Adjusted. | C.Boosted. | D.Supported. |
1. What can ChatGPT do?
A.Write long articles. |
B.Give proper responses. |
C.Reply to emails interestingly. |
A.Your satisfaction is guaranteed by the policy. |
B.Your refund will be back within 10 days. |
C.You can get your refund after you’ve used 17, 000 words. |
A.To criticize ChatGPT. |
B.To advertise KoalaChat. |
C.To introduce KoalaChat. |
10 . Researchers in China have developed a robotic chemist powered by AI that might be able to obtain oxygen from water on Mars. The robot uses materials found on the red planet to produce catalysts (催化剂) that break down water, releasing oxygen.
“If you think about the challenge of going to Mars, you have to work with local material,” says Andy Cooper, a chemist at the University of Liverpool. “So I can see the logic behind it.”
The study was led by Jun Jiang at the University of Science and Technology of China Jiang and his team used a mobile machine the size of a refrigerator with a robotic arm to analyse five meteorites (陨石) that had come from Mars. The team’s goal was to investigate whether the machine could produce useful catalysts from the material.
The AI-powered system used some chemicals to dissolve (溶解) and separate the material, then analysed the resulting substances that consists of two or more elements. These then formed the basis of a search of more than 3.7 million formulae (公式) for a chemical that could break down water—known to exist as ice at Mars’ poles and under the planet’s surface-a process the team said would have taken a human researcher 2, 000 years. The result was a catalyst that could release oxygen from water, with the potential for use on a future Mars mission.
If a catalyst that can produce oxygen from water can be made on Mars, this would remove the need for missions to carry such a catalyst from Earth. Jiang says that for every square metre of Martian material, his group’s system could make nearly 60 grams of oxygen per hour, potentially removing the need for astronauts on future missions to the planet to carry oxygen from Earth to use when they get there. “The robot can work continuously for years, ” says Jiang.
Jiang points out that his group’s robotic chemist could also be used to produce other useful catalysts on Mars, for processes like fertilizing (施肥) plants. “Different chemicals can be made by this robot,” he says. And Mars isn’t the only place where it could be used. “Maybe lunar soil is another direction,” Jiang says.
1. What can we learn about the study?A.A chemist with a robotic arm is involved. |
B.Researchers aim to purify the water on Mars. |
C.Oxygen is of vital importance in space travels. |
D.Materials from Mars are analysed to produce catalysts. |
A.Approving. | B.Unclear. | C.Dismissive. | D.Doubtful. |
A.Precise calculation. | B.Integration of materials. |
C.High-speed operation. | D.Flexibility of movement. |
A.The robot can stand endless working time. |
B.Martian catalysts can produce more oxygen. |
C.The system can make 60 grams of oxygen per day. |
D.The robotic chemist can be applied in a broader way. |