1 . One day, a girl came upon a cocoon, and she could tell that a butterfly was trying to
The girl still thought she had done the butterfly a
The
A.hatch | B.hang | C.swing | D.nest |
A.trap | B.release | C.extend | D.drag |
A.Even so | B.In the meanwhile | C.All of a sudden | D.As usual |
A.scared | B.sought | C.suspend | D.stuck |
A.readily | B.hardly | C.merely | D.slightly |
A.overestimated | B.underdeveloped | C.overgrown | D.underfed |
A.favor | B.applause | C.priority | D.guarantee |
A.tiny | B.skinny | C.moderate | D.large |
A.expansion | B.restriction | C.tension | D.variation |
A.make up | B.pull up | C.go through | D.take over |
A.dive | B.recover | C.withdraw | D.emerge |
A.adversities | B.adventures | C.prospects | D.guidelines |
A.diligent | B.sympathetic | C.superior | D.straightforward |
A.carefulness | B.strength | C.optimism | D.patience |
A.hold onto | B.turn down | C.take on | D.bring up |
DUJIANGYAN
Originally
内容包括:
1.写信背景和目的;
2.自身优势;
3.期待入选。
注意:
1.写作词数应为80左右;
2.可以适当增加行文细节,以使行文连贯。
Dear respected organizers,
____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
Sincerely,
Li Hua
4 . When people hear “artificial intelligence,” many envision “big data.” There’s a reason for that: some of the most important AI breakthroughs in the past decade have relied on enormous data sets. But AI is not only about large data sets, and research in “small data” approaches has grown extensively over the past decade—with so-called transfer learning as an especially promising example. Also known as “fine-tuning,” transfer learning is helpful in settings where you have little data on the task of interest but abundant data on a related problem. The way it works is that you first train a model using a big data set and then retrain slightly using a smaller data set related to your specific problem.
Research in transfer learning approaches has grown impressively over the past 10 years. In a new report for Georgetown University’s Center for Security and Emerging Technology (CSET), we examined current and projected progress in scientific research across “small data” approaches. Our analysis found that transfer learning stands out as a category that has experienced the most consistent and highest research growth on average since 2010. This growth has even outpaced the larger and more established field of reinforcement learning, which in recent years has attracted widespread attention.
Small data approaches such as transfer learning offer numerous advantages over more data-intensive methods. By enabling the use of AI with less data, they can bolster progress in areas where little or no data exist, such as in forecasting natural disasters that occur relatively rarely or in predicting the risk of disease for a population set that does not have digital health records.
Another way of thinking about the value of transfer learning is in terms of generalization. A recurring challenge in the use of AI is that models need to “generalize” beyond their training data. Because transfer learning models work by transferring knowledge from one task to another, they are very helpful in improving generalization in the new task, even if only limited data were available.
Moreover, by using pretrained models, transfer learning can speed up training time and could also reduce the amount of computational resources needed to train algorithms (算法). This efficiency is significant, considering that the process of training one large neural (神经系统的) network requires considerable energy.
Despite the growth in research, transfer learning has received relatively little visibility. The existence of techniques such as transfer learning does not seem to have reached the awareness of the broader space of policy makers and business leaders in positions of making important decisions about AI funding and adoption. By acknowledging the success of small data techniques like transfer learning—and distributing resources to support their widespread use—we can help overcome some of the common misconceptions regarding the role of data in AI and facilitate innovation in new directions.
1. What does the underlined word “bolster” in Paragraph 3 probably mean?A.Promote. | B.Seek. |
C.Track. | D.Monitor. |
A.Predicting the frequency of floods in Amazon rainforest. |
B.Designing a program that can read handwritten documents. |
C.Forecasting the number of people infected with an unknown illness. |
D.Predicting house prices based on basic features like area and location. |
A.Doubtful. | B.Optimistic. |
C.Critical. | D.Unconcerned. |
A.Transfer Learning: Where Does It Best Fit? |
B.Small Data Are Also Crucial for Advancing AI |
C.Transfer Learning Powers Technological Advances |
D.Big Data vs. Small Data: Which Is the Future of AI? |
5 . One of our biggest fears nowadays is that our kids might someday get lost in a “sea of technology” rather than experiencing the natural world. TV and computer games are leading to a serious disconnect between kids and the great outdoors.
Each of us has a place in nature where we go sometimes, even if it is torn down. We cannot be the last generation to have that place. At this rate, kids who miss the sense of wonder outdoors will not grow up to be protectors of natural landscapes. “If the decrease in parks use continues across North America, who will defend parks against encroachment (蚕食)?” asks Richard Louv, author of Last Child in the Woods.
Without having a nature experience, kids can turn out just fine, but they are missing out a huge enrichment of their lives. That applies to everything from their physical health and mental health, to stress levels, creativity and cognitive (认知的) skills. Experts predict modern kids will have poorer health than their parents — and a lack of outside play is surely part of it; research suggests that kids do better academically in schools with a nature exposure. Even a small outdoor experience can create wonder in a child. The three-year-old turning over his first rock realizes he is not alone in the world.
Kids are not responsible. They are just over-protected and frightened. It is dangerous outdoors from time to time, but when repetitive stress from computers is replacing breaking an arm as a childhood rite (仪式) during the children’s growth, it can be more dangerous.
We should help regain for our kids some of the freedom and joy of exploring nature and taking friendship in fields and woods that cement love, respect and need for landscape. As parents, we should devote some of our energies to taking our kids into nature. This could yet be our greatest cause.
1. What is the purpose of Paragraph 2?A.To show the great damage done to nature. |
B.To recommend a popular book to the public. |
C.To stress the necessity of kid’s going outdoors. |
D.To raise the awareness of environmental protection. |
A.They’ll surely become a failure. |
B.They’ll keep a high sense of wonder. |
C.They may suffer physically and mentally. |
D.They can develop better social skills. |
A.It is not a bad thing in a sense. | B.It is caused by the careless parents. |
C.It should be taken seriously. | D.It could be prevented from happening. |
A.Lack. | B.Strengthen. | C.Prove. | D.Require. |
1. 人物简介:(1901- 1983;出生地:厦门市;“万婴之母”等);
2. 主要事迹及贡献;
3. 你的感悟或评价。
参考词汇:medical scientist;mother of ten thousand babies
注意:
1. 词数80左右;
2. 请按如下格式在答题卡的相应位置作答
A Brief Introduction of Dr Lin Qiaozhi
_____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________9 . Bookstores are amazing places. But when your community is too small to house a real bookstore, sometimes you have to be creative. A mobile bookstore that brings books around the country was the result.
That is the case for Rita Collins, 70, who dreamed of opening a used bookstore after she retired from teaching. However, Eureka, Montana, located just seven miles from the Canadian border, only has a population of 1,517. Given this, she had to give it up. Later, while attending a business class from the American Booksellers Association, Collins asked her instructors about a traveling bookstore on wheels but they were doubtful. This time she didn’t give up.
Collins was inspired by Dylans Mobile Bookstore, a traveling bookstore in Wales run by Jeff Towns. She contacted Jeff for advice but she was largely on her own when it came to setting up her bookstore. First, she had to find a vehicle which is large enough to stand in and mechanically (机械地) sound as well as easy to drive and park. A local mechanic helped her find exactly what she needed. Then she had to have it refitted with shelves that would hold the books at a 15-degree angle so that they would stay in place while in transport.
Collins named her bookstore St Rita’s Traveling Bookstore. It has been on the road since 2015. For the first two years, St Rita’s was only a summer project. At first, she drove through Montana and then she made her first cross country trip across the US in 2016. After she retired in 2017, it became a full-time project from spring to fall. Till now, Collins and her 600-volume traveling bookstore have visited 30 states, benefiting countless people along the way.
While Collins loves what she does, she doesn’t think she can always keep doing it. In a couple of years, she hopes to pass her traveling bookstore onto another booklover who will keep it on the road.
1. What discouraged Collins from opening a used bookstore in Eureka?A.Lack of enough readers. | B.Lack of start-up money. |
C.Disbelief from instructors. | D.Failure to find a location. |
A.It should be fancy and colorful. | B.It should be cost-saving. |
C.It should be practical and safe. | D.It should be environmentally-friendly. |
A.Spring. | B.Summer. | C.Autumn. | D.Winter. |
A.An Influential Class | B.A Bookstore on Wheels |
C.A Specially-made Vehicle | D.An Outstanding Retired Teacher |