题目内容

【题目】Earth Day Photo Contest

A picture is worth a thousand words! Enter the TFK photo contest and show us: Why is Earth Day important to our planet?

To enter online, visit timeforkids.com/2017earthdaycontest and get details below.

TIME

● The contest begins on January 9, 2017.

● The contest ends on April 20, 2017.

INSTRUCTIONS

● An original and previously unpublished photograph that answers the Earth Day question “Why is Earth Day important to our planet?” and that was photographed by the Entrant (参赛者) between June 1, 2016, and April 20, 2017.

● A caption describing the picture, what is happening, where the photo was taken, the date the photo was taken and why Entrant chose to enter this image.

● Entrant’s first name only; Entrant’s email address; and parent’s, teacher’s or guardian’s email address. Limit one entry per person. Sponsor is not responsible for lost, late, or incomplete entries, or entries not received for any reason. Entries belong to Sponsor, and none will be acknowledged or returned.

● By entering, Entrant guarantees that the entry is original and has not been published in any medium or won an award.

ELIGIBILITY

Open to residents of the 50 United States and the District of Columbia who are elementary school students ages 8–13 years at time of entry.

WINNERS’ LIST and PRIZES

Judges will select 10 Semifinalists from which one Grand-Prize Winner and nine Finalists will be chosen. The Grand-Prize Winner will receive a digital camera—approximate retail (零售) value: $300.00. The photograph entry of the Grand-Prize Winner will be published in the April 22 Earth Day issue of TIME For Kids. The photograph entries of all Semifinalists will be published in the gallery of timeforkids.com. Winner will be informed by email, and must respond within five days.

1An Entrant who will participate in the photo contest should ________.

A. send an original photo establishing the Earth Day

B. present a relevant description of the photo entry

C. inform the sponsor of his or her delayed email

D. offer his or her email address and family name

2What do we know about the photograph entry of the winner?

A. It will be published in a magazine and a gallery.

B. It will be evaluated at approximately $300.00.

C. It will be selected from nine Finalists’ entries.

D. It will be acknowledged and returned afterwards.

【答案】

1B

2A

【解析】这是一篇广告。该广告为Earth Day Photo Contest做宣传,并介绍了大赛规则,参赛要求等信息。

1细节理解题。由INSTRUCTIONS中的“A caption describing the picture, what is happening, where the photo was taken, the date the photo was taken and why Entrant chose to enter this image.”可知参赛者需要描述一下自己的参赛作品:发生的事情,何地拍摄的照片,照片拍摄的日期,选择该作品参赛的原因等。B选项正确

2细节理解题。由最后一段中的The photograph entry of the Grand-Prize Winner will be published in the April 22 Earth Day issue of TIME For Kids. The photograph entries of all Semifinalists will be published in the gallery of timeforkids.com.可知参赛照片将会被发表在

TIME For Kids这本杂志上,还会被发表在timeforkids.com网站上的画廊上。故A选项正确。

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【题目】 Let us all raise a glass to AlphaGo and the advance of artificial intelligence. AlphaGo

DeepMind’s Go-playing AIjust defeated the best Go-playing humanLee Sedol. But as we drink to its success. we should also begin trying to understand what it means for the future.

The number of possible moves in a game of Go is so huge that. in order to win against a player like Lee. AlphaGo was designed to adopt a human—like style of gameplay by using a relatively recent development--deep learning. Deep learning uses large data sets“machine learning”algorithms (计算程序) and deep neural networks to teach the AI how to perform a particular set of tasks. Rather than programming complex Go rules and strategies into AlphaGoDeepMind designers taught AlphaGo to play the game by feeding it data based on typical Go moves. ThenAlphaGo played against itself, tirelessly learning from its own mistakes and improving its gameplay over time. The results speak for themselves.

Deep learning represents a shift in the relationship humans have with their technological creations. It results in AI that displays surprising and unpredictable behaviour. Commenting after his first lossLee described being shocked by an unconventional move he claimed no human would ever have made. Demis Hassabis. one of DeepMind's foundersechoed this comment“We're very pleased that AlphaGo played some quite surprising and beautiful moves. ”

Unpredictability and surprises are—or can be—a good thing. They can indicate that a system is working wellperhaps better than the humans that came before it. Such is the case with AlphaGo. Howeverunpredictability also indicates a loss of human control. That Hassabis is surprised at his creation's behaviour suggests a lack of control in the design. And though some loss of control might be fine in the context of a game such as Goit raises urgent questions elsewhere.

How much and what kind of control should we give up to AI machines? How should we design appropriate human control into AI that requires us to give up some of that very control? Is there some AI that we should just not develop if it means any loss of human control? How much of a say should corporationsgovernmentsexperts or citizens have in these matters? These important questions, and many others like themhave emerged in responsebut remain unanswered. They require humannot human - likesolutions.

So as we drink to the milestone in AI, let's also drink to the understanding that the time to answer deeply human questions about deep learning and AI is now.

1What contributes most to the unconventional move of AlphaGo in the game?

A. The capability of self-improvement.

B. The constant input of large data sets.

C. The installation of deep neutral networks.

D. The knowledge of Go rules and strategies.

2A potential danger of Al is _____.

A. the loss of human control B. the friendly relationship

C. the fierce competition D. the lack of challenge

3How should we deal with the unpredictability of AI?

A. We should stop AI machines from developing even further.

B. We should call on the government to solve these problems for us.

C. We should rely on ourselves and come up with effective solutions.

D. We should invent even more intelligent machines to solve everything.

4What's the author’s attitude towards this remarkable advance in AI?

A. Supportive. B. Optimistic.

C. Doubtful. D. Cautious.

【题目】

News anchors(主播) must have been reluctant to read out the following news: Xin Xiaomeng began working as the world’s first female artificial(人工的) intelligence news anchor at Xinhua News Agency on Sunday, three months after a male robot joined the profession.

Unlike previous news robots though, Xin does not read news like a cold machine; she reads it almost like a human being. The muscles on her face stretch and relax-and her reactions change-as she continues reading. That’s why many news anchors were worried: Will AI replace us in the near future?

To find the answer, we have to analyse the technologies that support Xin at her job. Three key technologies are used to support Xin. First, samples of human voices are collected and synthesized (合成). This is followed by the collection and synthesis of human muscle movement samples. And third the voices and movements are married in a way that when the Al news anchor reads, the micro -electric motors behind her face move to make her expressions seem more human.

Yet we need a thorough knowledge of deep leaning technology to make a robot imitate a person’s voice. The developer needs to collect tens of thousands of pieces of pronunciations, input them Into the machine and match them with the text or the Al to lean and read. The process for imitating facial movements is similar. The developer has to analyse the movements of the 53 muscles in the human face, make a model set from the collected data for the AI news anchor to lean, and imitate the movements of facial muscles via programs

Both the technologies used to make Xin’s performance impressive are mature. The real difficulty lies in the third -the technology to match the pronunciations with facial movements so that Xin expressions vary according to the content of the news report. In fact, Xins expressions don' t always change according to the content. As a result, her expressions look anything but human. Actually. AI is still no match for human qualities.

1What does the underlined word "reluctant "in the first paragraph mean?

A. Delighted.B. Unwilling.C. Confused.D. Optimistic.

2What can we infer about previous news robots?

A. They read news without expressions.B. They looked like a human being

C. They could interview sports starsD. They could interact with audience.

3What do we know about the third technology?

A. This technology is very perfect so far

B. This technology is quite popular now

C. This technology remains at the theoretical stage

D. This technology is far from mature.

4From the last paragraph, we can draw a conclusion that____.

A. human news anchors should learn from AT anchors to save their jobs

B. Al anchors perform much better than human news anchors at present

C. Al news anchors won 't replace human news anchors in the near future

D. Xin Xiaomeng s expressions vary so naturally that they are true to life

【题目】 You're out to dinner. The food is delicious and the service is fine. You decide to leave a big fat tip. Why? The answer may not be as simple as you think.

Tipping, psychologists have found, is not just about service. Instead, studies have shown that tipping can be affected by psychological reactions to a series of different factors from the waiter's choice of words, to how they carry themselves while taking orders, to the billl's total.

Even how much waiters remind customers of themselves can determine how much change they pocket by the end of the night.

“Studies before have shown that mimicry (模仿)brings into positive feelings for the mimicker, "wrote Rick van Baaren, a social psychology professor. "These studies show that people who are being mimicked become more generous toward the person who mimicks.

So Rick van Baaren divided 59 waiters into two groups. He requested that half serve with a phrase such as, "Coming up!" Those in the other half were instructed to repeat the orders and preferences back to the customers. Rick van Baaren then compared their takehome pay. The results were clear-it pays to mimic your customer. The copycat (模仿者)waiters earned almost double the amount of tips to the other group.

Leonard Green and Joel Myerson, psychologists at Washington University in St Louis, found the generosity of a tipper may be limited by his bill. After research on the 1,000 tips left for waiters, cabdrivers, hair stylists, they found tip percentages in these three areas dropped as customers' bills went up. In fact, tip percentages appear to plateau (稳定期)when bills topped $100 and a bill for $200 made the worker gain no bigger percentage tip than a bill for $100.

"That's also a point of tipping," Green says. "You have to give a little extra to the cabdriver for being there to pick you up and something to the waiter for being there to serve you. If they weren't there, you'd never get any service. So part of the idea of a tip is for just being there."

1Besides service, how many other fectors(因素)affecting the customers' tipping are mentioned in the passage?

A. 1B. 2

C. 3D. 4

2These studies show that .

A. tipping can be affected by physical reactions to many different waiters

B. the mimic waiters can get almost twice as much money as those who don't mimick others

C. people who are being mimicked usually tip less to the person who mimics them

D. mimicry makes the mimicker feel bad

3According to the passage, which of the following will be likely to show the right change of the tip percentages?

A. B.

C. D.

4We know from the passage that the writer seems to .

A. object to Mr Green's idea about tipping

B. think part of Mr Green's explanation is reasonable

C. support the opinions of Mr Green and Rick van Baaren about tipping

D. give his generous tip to waiters very often

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