1 . Albert Einstein’s 1915 masterpiece “The Foundation of the General Theory of Relativity” is the first and still the best introduction to the subject, and I recommend it as such to students. But it probably wouldn’t be publishable in a scientific journal today.
Why not? After all, it would pass with flying colours the tests of correctness and significance. And while popular belief holds that the paper was incomprehensible to its first readers, in fact many papers in theoretical physics are much more difficult.
As the physicist Richard Feynman wrote, “There was a time when the newspapers said that only 12 men understood the theory of relativity. I do believe there might have been a time when only one man did, because he was the only guy who caught on, before he wrote his paper. But after people read the paper a lot understood the theory of relativity in some way or other, certainly more than 12.”
No, the problem is its style. It starts with a leisurely philosophical discussion of space and time and then continues with an exposition of known mathematics. Those two sections, which would be considered extraneous today, take up half the paper. Worse, there are zero citations of previous scientists’ work, nor are there any graphics. Those features might make a paper not even get past the first editors.
A similar process of professionalization has transformed other parts of the scientific landscape. Requests for research time at major observatories or national laboratories are more rigidly structured. And anything involving work with human subjects, or putting instruments in space, involves piles of paperwork.
We see it also in the Regeneron Science Talent Search, the Nobel Prize of high school science competitions. In the early decades of its 78-year history, the winning projects were usually the sort of clever but naive, amateurish efforts one might expect of talented beginners working on their own. Today, polished work coming out of internships(实习) at established laboratories is the norm.
These professionalizing tendencies are a natural consequence of the explosive growth of modern science. Standardization and system make it easier to manage the rapid flow of papers, applications and people. But there are serious downsides. A lot of unproductive effort goes into jumping through bureaucratic hoops(繁文缛节), and outsiders face entry barriers at every turn.
Of course, Einstein would have found his way to meeting modern standards and publishing his results. Its scientific core wouldn’t have changed, but the paper might not be the same taste to read.
1. According to Richard Feynman, Einstein’s 1915 paper ________.| A．was a classic in theoretical physics |
| B．turned out to be comprehensible |
| C．needed further improvement |
| D．attracted few professionals |
| A．Unrealistic. | B．Irrelevant. |
| C．Unattractive. | D．Imprecise. |
| A．The application of research findings. |
| B．The principle of scientific research. |
| C．The selection of young talents. |
| D．The evaluation of laboratories. |
| A．What makes Einstein great? |
| B．Will science be professionalized? |
| C．Could Einstein get published today? |
| D．How will modern science make advances? |
2 . In spring, chickens start laying again, bringing a welcome source of protein at winter’s end. So it’s no surprise that cultures around the world celebrate spring by honoring the egg.
Some traditions are simple, like the red eggs that get baked into Greek Easter breads. Others elevate the egg into a fancy art, like the heavily jewel-covered “eggs” that were favored by the Russians starting in the 19th century.
One ancient form of egg art comes to us from Ukraine. For centuries, Ukrainians have been drawing complicated patterns on eggs. Contemporary artists have followed this tradition to create eggs that speak to the anxieties of our age: Life is precious, and delicate. Eggs are, too.
“There’s something about their delicate nature that appeals to me,” says New Yorker cartoonist Roz Chast. Several years ago, she became interested in eggs and learned the traditional Ukrainian technique to draw her very modern characters. “I’ve broken eggs at every stage of the process — from the very beginning to the very, very end.”
But there’s an appeal in that vulnerability(易损性). “There’s part of this sickening horror of knowing you’re walking on the edge with this, that I kind of like, knowing that it could all fall apart at any second.” Chast’s designs, such as a worried man alone in a tiny rowboat, reflect that delicateness.
Traditional Ukrainian decorated eggs also spoke to those fears. The elaborate patterns were believed to offer protection against evil.
“There’s an ancient legend that as long as these eggs are made, evil will not exist in the world.” says Joan Brander, a Canadian egg-painter who has been painting eggs for over 60 years, having learned the art from her Ukrainian relatives.
1. People in many cultures honor the egg because _______________.| A．it is their major source of protein in winter |
| B．it is a welcome sign of the approach of spring |
| C．it can bring wealth and honor to them |
| D．it can easily be made into a work of art |
| A．carve | B．promote | C．place | D．lower |
| A．She is never sure what the final design will look like until the end. |
| B．She always achieves great pleasure from designing something new. |
| C．She never knows if the egg will break before the design is completed. |
| D．She believes there won’t be evil in the world once the egg is made. |
| A．the decorated “eggs” are favored as a form of fancy art in Russia |
| B．contemporary artists draw on eggs to reflect anxieties of people today |
| C．the delicate nature of eggs appeals to Roz Chast |
| D．eggs provide a hard and unique surface to paint on |
3 . If you wear glasses, chances are you are smarter. Research published in the famous British journal Nature Communications has found that people who displayed higher levels of intelligence were almost 30 percent more likely to wear glasses.
The scientists studied the genes of thousands of people between the ages of 16 and 102.The study showed intelligence can be connected to physical characteristics. One characteristic was eyesight. In out of 10 people who were more intelligent, there was a higher chance they needed glasses. Scientists also said being smarter has other benefits. It is connected to better health.
It is important to remember these are connections which are not proven causes. Scientists call this correlation. Just because something is connected to something else does not mean one of those things caused the other. And it’s worth noting that what constitutes intelligence is subjective and can be difficult, if not impossible, to measure.
Forget genes though. Plenty of proof shows wearing glasses makes people think you are more intelligent, even if you do not need glasses. A number of studies have found people who wear glasses are seen as smarter, hard-working and honest. Many lawyers use this idea to help win their cases. Lawyer Harvey Solves explained this. Glasses soften their appearance. He said Sometimes there has been a huge amount of proof showing that people he was defending broke the law. He had them wear glasses and they weren’t found guilty.
Glasses are also used to show someone is intelligent in movies and on TV. Ideas about people who wear glasses have begun to shift. People who do not need glasses sometimes wear them for fashion only. They want to look worldly or cool. But not everyone is impressed by this idea, though. GQ magazine said people who wear glasses for fashion are trying too hard to look smart and hip (时髦的). However, that hasn’t stopped many celebrities from happily wearing glasses even if they do not need them. Justin Bieber is just one high-profile fan of fashion glasses.
1. What does the new study show?| A．People wearing glasses are smarter. |
| B．People wearing glasses are healthier. |
| C．Wearing glasses can make people cleverer. |
| D．Wearing glasses is associated with higher IQ. |
| A．Shift. | B．Link. | C．Proof. | D．Consequence. |
| A．Because it can create a moral image. |
| B．Because it can mislead the witnesses. |
| C．Because it can highlight clients’ qualities. |
| D．Because it can prove the clients’ innocence. |
| A．Positive. | B．Negative. | C．Mixed | D．Indifferent. |
4 . 
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.
1. What does the underlined word "reluctant "in the first paragraph mean?| A．Delighted. | B．Unwilling. | C．Confused. | D．Optimistic. |
| A．They read news without expressions. | B．They looked like a human being |
| C．They could interview sports stars | D．They could interact with audience. |
| 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. |
| 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 |
5 . In 2015, a man named Nigel Richards memorized 386, 000 words in the entire French Scrabble Dictionary in just nine weeks. However, he does not speak French. Richards’ impressive feat is a useful example to show how artificial intelligence works — real AI. Both of Richard and AI take in massive amounts of data to achieve goals with unlimited memory and superman accuracy in a certain field.
The potential applications for AI are extremely exciting. Because AI can outperform humans at routine tasks — provided the task is in one field with a lot of data — it is technically capable of replacing hundreds of millions of white and blue collar jobs in the next 15 years or so.
But not every job will be replaced by AI. In fact, four types of jobs are not at risk at all. First, there are creative jobs. AI needs to be given a goal to optimize. It cannot invent, like scientists, novelists and artists can. Second, the complex, strategic jobs — executives, diplomats, economists — go well beyond the AI limitation of single-field and Big Data. Then there are the as-yet-unknown jobs that will be created by AI.
Are you worried that these three types of jobs won’t employ as many people as AI will replace? Not to worry, as the fourth type is much larger: jobs where emotions are needed, such as teachers, nannies and doctors. These jobs require compassion, trust and sympathy — which AI does not have. And even if AI tried to fake it, nobody would want a robot telling them they have cancer, or a robot to babysit their children.
So there will still be jobs in the age of AI. The key then must be retraining the workforce so people can do them. This must be the responsibility not just of the government, which can provide funds, but also of corporations and those who benefit most.
1. What is the main purpose of paragraph 1?| A．To introduce the topic. |
| B．To mention Nigel’s feat. |
| C．To stress the importance of good memory. |
| D．To suggest humans go beyond AI in memory. |
| A．Be superior to | B．Be equal to |
| C．Be similar to | D．Be related to |
| A．The writer. | B．The shop assistant. |
| C．The babysitter. | D．The psychologist. |
| A．Limit the application of AI to a certain degree. |
| B．Get more support from the government. |
| C．Apply for the donation from companies. |
| D．Upgrade themselves all the time. |
