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题型:阅读理解-阅读单选 难度:0.65 引用次数:63 题号:20724278

Dunhuang Academy together with Huawei launched a brand-new technology-driven tour experience at the Mogao Grottoes on the evening of April 8. Using Huawei’s newly-released Hetu artificial intelligence platform, coupled with the output of the Digital Dunhuang project, visitors to the Mogao Grottoes can enjoy a fantasy experience prior to entering the attraction.

Zhao Shengliang, director of the Dunhuang Acadcmy, said that it has been cooperating with Huawei since March 2019. Using Huawei’s latest Hetu technology, visitors are able to see the detailed contents of the Dunhuang Art Murals (壁画) outside the caves, through their Huawei mobile phones. This will reduce the time tourists spend inside the cave, aiding the protection of the cultural relics, while at the same time helping to increase the amount of information visitors can obtain. It is also considered to be a new way of promoting Dunhuang Art.

The Dunhuang Academy has used digital technology to preserve the research and exploration of Dunhuang Grottoes since the early 1990s. It has collected a wealth of data and has realized the goal of sharing of digital Dunhuang globally. It has played an important role in the protection and research of cultural site, as well as promoting the development and progress of related work.

The Huawei Hetu platform unites Dunhuang’s study findings, high-resolution images of the site’s murals and virtual, three-dimensional models with the real Mogao Grottoes. It has not only re-created the real tour of the scenic spot, but also developed a new way of digitally experiencing the grottoes. When people visit the site, they not only have the experience of seeing the real grottoes, but they can appreciate the admirable artworks more clearly and in greater detail.

In the future, Dunhuang Academy will continue to cooperate with Huawei to create more colorful virtual content to enrich the experience of Mogao Art on the platform, helping people around the world get to know Dunhuang Art better.

1. Which is NOT the advantage of the Hetu technology?
A.Help to protect the cultural relics.B.Reduce the time visitors spend inside the cave.
C.Decrease the cost of the visitors.D.Provide more information for tourists.
2. How long has the Dunhuang Academy used digital technology?
A.About a year.B.10 years.C.More than 30 years.D.90 years.
3. What does the underlined word “it” in the third paragraph refer to?
A.The Dunhuang Academy.B.The digital technology.
C.Dunhuang Grottoes.D.The development and progress of related work.
4. What’s the author’s attitude towards the cooperation between Dunhuang and Huawei?
A.Hopeful.B.Opposed.
C.Indifferent.D.Doubtful.
5. What is the best title for the text?
A.Huawei Newly Released Hetu Al.
B.Dunhuang Grottoes Attract Tourists.
C.Dunhuang Academy Preserves Grottoes Well.
D.Al Tech Helps Tourists Enjoy Dunhuang’s Art.

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文章大意:本文是一篇说明文,介绍了芬兰食品技术公司Solar Foods推出的空气蛋白Solein的生产过程及其应用的好处,并指出Solein可能是解决相关环境问题的最佳方法。

【推荐1】Farming is destroying the planet, but there could be a much more environmentally friendly way to feed ourselves: using renewable energy to turn carbon dioxide into food. “This is becoming a reality,” says Pasi Vainikka at Solar Foods, a company that is building the first commercial-scale factory that will be able to make food directly from CO2.

There can be no doubt that immediate attention to find greener ways to grow food is required. Conventional agriculture, including organic farming, causes damage to the environment in many ways. It requires a lot of land, leading to habitat loss and deforestation. It is also the source of a third of all greenhouse gas emissions and releases other pollutants. It isn’t very efficient, either. Crops typically transform less than 1 percent of light energy into usable biomass (生物量).

Instead, Solar Foods plans to avoid photosynthesis (光合作用) altogether, and grow bacteria that use hydrogen as their source of energy. At the factory, renewable electricity will be used to split water to produce hydrogen and oxygen. The hydrogen will be added to large containers, where the bacteria grow, along with CO2 and ammonia (氨气). The end result will be a yellow powder called Solein.

Solein is made of bacterial cells and is up to 70 percent protein. It can be used as an ingredient in all kinds of foods. “We are aiming at replacing animal-sourced proteins, which we think have the highest environmental impact,” says Vainikka.

Compared with plant crops, Solein will use 100 times less water per kilogram of protein produced, 20 times less land and emit a fifth as much CO2, according to Solar Foods. There are other benefits, too: factories could be situated anywhere in the world and production won’t be affected by weather conditions.

“With Solar Foods and other companies scaling up their systems, this is truly beginning a new era of agriculture,” says Dorian Leger at Connectomix Bio in Germany. “I think these trends are exciting and will help bend the carbon curve as well as lead to improved global food supply security.”

1. What is the author’s purpose in mentioning conventional agriculture in paragraph 2?
A.To demonstrate its influence on crops.
B.To compare different farming methods.
C.To provide an example of agricultural types.
D.To highlight the urgent need for alternatives.
2. What is mainly presented in paragraph 3 concerning Solein?
A.Its storage condition.B.Its production process.
C.Its ingredient materials.D.Its investment potential.
3. All of the following are the features of Solein except         .
A.it is protein-rich
B.it is resource-efficient
C.its production is weather sensitive
D.its production is location-independent
4. Which statement would Dorian Leger probably agree with?
A.The prospect of Solein remains to be seen,
B.Solein can help achieve global food safely.
C.Solein will dominate the agricultural development.
D.The use of Solein may help reduce carbon emissions.
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【推荐2】Do you need a human to create a beautiful scent (气味)? That’s the question being asked as artificial intelligence (AI) starts to enter the perfume(香水) industry.

Companies are increasingly turning to technology in order to create more bestselling, unique fragrances that can be produced in just minutes. Last year, Swiss-based fragrance developer Givaudan Fragrances launched Carto, an artificial intelligence-powered tool to help perfumers(调香师). Through machine learning (a way computers improve outcomes automatically by learning from past results) Carto can suggest combinations of ingredients.

Using a touch screen, the perfumer can pull together different scents using data from the brand’s vast library of fragrance formulas (配方) — a much more efficient process than using traditional forms. A small robot immediately processes the fragrances into perfumes, making it easier for perfumers to test their new scents.

German fragrance house Symrise has gone one step further and teamed up with IBM Research to create an AI called Philyra. Like Carto, Philyra can’t actually sniff anything. But it is not designed to replace perfumers.

“It’s machine-learning and sometimes the results have been wrong,” says Claire Viola, vice president of digital strategy fragrance at Symrise. “It’s still a project, the more we test, the more it continues to improve. It constantly needs training.”

1. What is Carto according to the passage?
A.a bestselling unique fragrance.B.a Swiss-based fragrance developer.
C.an AI-powered tool.D.combinations of ingredients.
2. What’s the main idea of para. 3?
A.The process of making fragrance.B.Two ways of making fragrance.
C.The importance of a small robot.D.The popularity of a small robot.
3. What can we infer from Claire Viola’s opinion on Philyra?
A.It will replace perfumers in the near future.
B.It’s the most effective technology to produce perfume.
C.The results will be perfect when using it.
D.We should train and improve it, because it’s machine-learning.
4. In which section of the newspaper can you probably read this passage?
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C.AdvertisementD.Science & technology
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【推荐3】It’s possible that your phone’s face-unlock might finally be able to work while you’re wearing a mask. Researchers have found that facial recognition algorithms (算法) are getting better at recognizing faces in masks, according to data published on Tuesday by the National Institute for Standards and Technology (NIST). Using independent testing of more than 150 separate facial recognition algorithms, the news report suggests masks may not be as big a problem for facial recognition systems as initially thought.

When NIST first examined masks’ effect on facial recognition in July 2020, it found that algorithms weren’t great at identifying faces with masks. “Face recognition can make errors, which can implicate people for crimes they haven’t committed,” writes the Electronic Frontier Foundation (EFF). “It is particularly bad at recognizing African Americans and other ethnic minorities, women, and young people.” But the pandemic has given developers plenty of time to focus on the mask problem, and NIST’s data shows that facial recognition algorithms are getting better at working with masked faces. “After the pandemic, some developers have submitted algorithms which show significantly improved accuracy and are now among the most accurate in our test,” the report reads. NIST’s public ranking for facial recognition tests bears out this report. Eight different algorithms now hold false rates below 0.05 percent.

Nevertheless, there remain a number of limitations to the study. NIST researchers did not employ actual images of masked faces. Instead, they applied masks digitally to ensure consistency across the sample. As a result, “We were not able to get a thorough simulation of the endless variations in color, design, shape, texture, and ways masks can be worn,” the report states. The digital mask was a blue surgical mask covering the full width of the face, but testers noted that performance varied considerably depending on how high the mask was placed on the face.

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A.Effective.B.Impossible.C.Easy.D.Unreliable.
2. What does the underlined phrase “bear out” in Paragraph 3 mean?
A.Make.B.Prove.C.Deny.D.Oppose.
3. What can be learned about the study?
A.The way to wear masks may affect recognition accuracy.
B.The design of a mask makes no difference to facial recognition.
C.Facial recognition failure rates were quite low at the beginning.
D.The researchers adopted real surgical masks to ensure the accuracy.
4. Which of the following is a suitable title for the text?
A.Limitations of Facial Recognition Software
B.The Challenge of Recognizing Masked Faces
C.The improvement in Facial Recognition Algorithms
D.Different Applications of Facial Recognition Technology
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