1 . The concept of ownership comes so easily to humans that even preschoolers have got it. Robots, on the other hand, often struggle to grasp such abstract concepts. Now a well-mannered robot that can make it has been programmed.
“Teaching robots ownership-related etiquette (礼仪) is really, really worthwhile,” says Matthias Scheutz, a computer scientist at Tufts University. "We can't just send out robots who are unaware of who owns what... If I instruct a robot to ‘build a fence’, and it goes to the neighbor’s and starts ‘stealing’ boards, that's not what we have in mind.”
The new socially conscious robot can learn who owns what from clear statements as well as its own observations. The robot learns its code of conduct (行为准则) from direct orders and generalizing from specific examples. For instance, if the robot is told not to touch several objects that it knows belong to specific people, the robot will deduce that, as a general rule, it shouldn’t touch owned objects.
Artificial intelligence (AI) expert Xuan Tan and colleagues at Yale found out how the robot reacts in experiments with blocks on a table. In one session, Tan played with only the red blocks, leading the robot to infer that these blocks belonged to the same person. When Tan instructed the robot to throw away everything on the table and the machine reached for a red block, Tan stopped the robot, saying, “That's mine.” Now aware that it should not throw Tan’s belongings, and assuming that the rest of the red blocks belonged to Tan as well, the robot cleared the table of everything but red blocks.
Later, when Tan's colleague Jake Brawer directed the robot to throw out a red block, the robot replied, "Sorry, I'm forbidden to throw it away if it's owned by Tan.” Though robots may have more difficulty understanding who owns what in situations filled with far more objects of much wider variety than blocks on a table. Scheutz called it a good "first attempt” at equipping robots with an appreciation of ownership.
1. What does the second paragraph focus on?| A．The way of teaching robots ownership. | B．The basics of the human-robot relationship. |
| C．The benefit of robots learning ownership. | D．The importance of robots learning code of conduct. |
| A．Conclude. | B．Admit. | C．Agree. | D．Doubt. |
| A．To train the robot. | B．To predict the robot’s move. |
| C．To test the robot's behavior. | D．To study the preference. |
| A．The robot knows how to obey. | B．The robot can learn who owns what. |
| C．The robot follows no wrong orders. | D．The robot can solve complex situations. |
2 . In order to help cope with the vast number of student questions in the online class, Knowledge-Based Artificial Intelligence, Professor Ashok Goel of Georgia Tech developed an artificially intelligent teaching assistant. This online course is a core requirement of Georgia Tech’s online Master of Science in Computer Science program. Professor Goel already had eight teaching assistants, but that wasn’t enough to handle the vast number of daily questions from students.
Many students drop out of online courses because of the lack of teaching support. When students feel isolated or confused and reach out with questions that go unanswered, their motivation to continue begins to fade. Professor Goel decided to do something to remedy this situation and his solution was to create a virtual assistant named Jill Watson, which is based on the IBM Watson platform.
Goel and his team developed several versions of Jill Watson before releasing her to the online forums. At first, the virtual assistant wasn’t too great. But Goel and his team sourced the online discussion forum to find all the 40,000 questions that had ever been asked since the class was launched. Then they began to feed Jill with the questions and answers. After some adjustment and ample time, Jill was able to answer the students’ questions correctly 97% of the time. The virtual assistant became so advanced and realistic that the students didn’t know she was a computer. The students, who were studying artificial intelligence, were interacting with the virtual assistant and couldn’t tell it from a real human being. Goel didn’t inform them about Jill’s true identity until April 26. The students were actually very positive about the experience.
The goal of Professor Goel’s virtual assistant next year is to take over answering 40% of all the questions posed by students on the online forum. The name Jill Watson will, of course, change to something else next semester. Professor Goel has a much rosier forecast on the future of artificial intelligence than, say, Elon Musk, Stephen Hawking, Bill Gates or Steve Wozniak.
1. What do we learn about Knowledge-Based Artificial Intelligence?| A．It is a robot that can answer students’ questions. |
| B．It is a high-tech device that revolutionizes teaching. |
| C．It is a course designed for students to learn online. |
| D．It is a computer program that aids student learning. |
| A．Boycott. | B．Improve. | C．Evaluate. | D．Corrupt. |
| A．She was unwelcome to students at first. |
| B．She got along pretty well with students. |
| C．She turned out to be a great success. |
| D．She was released online as an experiment. |
| A．Assign her to answer more of students’ questions. |
| B．Upgrade her intelligence to the level of top scientists. |
| C．Launch different versions of her online. |
| D．Encourage students to interact with her more freely. |
3 . Delhi has been the centre of a succession of mighty empires and powerful kingdoms in India. Numerous ruins scattered throughout the territory offer a constant reminder of the area's history, which makes the city always be a fascinating place for tourists.
With the development of the city and more and more people moving, the city has expanded several times in size. That is why it is called New Delhi. New Delhi, a city with a population of over 20 million people, has its newest problem: never before has this city met with the worst air problem.
Air pollution in Indians capital surged to its worst levels in years, covering the city in a thick smog that has become an annual public-health emergency despite government vows to solve the problem.
Hundreds of flights were diverted, delayed and canceled over the weekend due to poor visibility, schools and offices were closed Monday and officials rushed to take emergency measures to try to reverse the eroding air quality. Millions of antipollution masks were distributed at schools, colleges, hospitals and markets.
New Delhi, is engulfed each year as the weather cools and a thick haze builds up from the pollutants emitted from cars and coal-based power plants, swirling dust from construction sites and roads and smoke from crop stubble burning in neighboring states. Fireworks and firecrackers to celebrate the Hindu festival of Diwali then arrives, leaving Delhi the world's most polluted city.
The city's air quality index, which measures a mix of dangerous pollutants, registered an average score of 494 Sunday. That is the highest 24-hour average since Nov. 6 , 2016 , when it hit 497, according to data measured by the Central Pollution Control Board.
1. Which of the following is NOT true?| A．Diwali is one of the most important festivals in India. |
| B．The government did little to protect its citizens against the serious pollution. |
| C．Such a serious air pollution in New Delhi appears on a regular basis. |
| D．The index of the recent air pollution is not the worst in the history. |
| A．The parents whose children have to stay at home. |
| B．The pilots whose planes have been diverted or delayed. |
| C．The manufacturers who produce antipollution masks. |
| D．The officials who have to work out of their offices. |
| A．Sent out. | B．Sent up. |
| C．Sent in. | D．Sent on. |
| A．Problems Caused by the Development of New Delhi |
| B．Dangerous Pollution Envelops New Delhi |
| C．Antipollution Masks Are in Great Need in New Delhi |
| D．Farmers in the Neighboring States are to Blame for Burning Crop Stubble |
4 . One day, gardeners might not just hear the buzz of bees among their flowers, but the whirr of robots, too. Scientists have managed to turn an unassuming drone (无人机) into a remote-controlled pollinator (授粉媒介) by attaching horsehairs coated with a special, sticky gel to its underbelly.
Animal pollinators are needed for the reproduction of 90% of flowering plants and one third of human food crops. Chief among those are bees — but many bee populations in the United States have been in steep decline in recent decades. Thus, the decline of bees isn't just worrisome because it could disrupt ecosystems, but also because it could disrupt agriculture and economy. People have been trying to come up with replacement techniques, but none of them are especially effective yet.
Scientists have thought about using drones, but they haven't figured out how to make free-flying robot insects that can rely on their own power source without being attached to a wire. “It’s very tough work,” said senior author Eijiro Miyako, a chemist at the National Institute of Advanced Industrial Science and Technology. His particular contribution to the field involves a gel, one he’d considered a mistake 10 years before and stuck in a storage cabinet. When it was rediscovered a decade later, it hadn’t dried up or degraded at all. “I was so surprised because it still had high viscosity,” Miyako said.
The chemist noticed that when dropped, the gel absorbed an impressive amount of dust from the floor. Miyako realized this material could be very useful for picking up pollen (花粉). He and his colleagues chose a drone and attached horsehairs to its smooth surface to mimic a bee’s fuzzy body. They coated those horsehairs in the gel, and then controlled the drones over lilies, where they would pick up the pollen from one flower and then deposit the pollen at another one, thus fertilizing it.
The scientists looked at the hairs under a scanning electron microscope and counted up the pollen grains attached to the surface and found that the drones whose horsehairs had been coated with the gel had about 10 times more pollen than those that had not been coated with the gel.
Miyako does not think such drones would replace bees altogether, but could simply help bees with their pollinating duties. There’s a lot of work to be done before that's a reality, however. Small drones will need to become more controllable and energy efficient, as well as smarter, with better GPS and artificial intelligence.
1. What does the underlined word “viscosity” in Para.3 probably mean?| A．Hardness. | B．Stickiness. |
| C．Flexibility. | D．Purity. |
| A．bees disrupt both agriculture and economy |
| B．scientists have invented self-powered robot insects |
| C．bees in the United States are on the edge of extinction |
| D．Miyako found the special feature of the gel by chance |
| A．its body is made like a bee’s |
| B．its GPS works more efficiently |
| C．some flowers are coated with the gel |
| D．horsehairs with the gel are attached to it |
| A．are not yet ready for practical use |
| B．may eventually replace bees in the future |
| C．are much more efficient than bee pollinators |
| D．can provide a solution to economic depression |
5 . Nobel prize-winners, legendary (传奇的) authors, and famous scientists — you might think all these people were born to be creative. However, that's not always the case.
While well-known figures like Pablo Picasso and Albert Einstein did their most significant (重要的) work in their youth, famous American poet Robert Frost and English-born natural scientist Charles Darwin were known as "late bloomers" – people whose talents were not noticeable until later in life.
This idea of "peaking" at different times inspired new research from the United States. "Many people believe that creativity is exclusively (独有地) associated (有联系的) with youth, but it really depends on what kind of creativity you're talking about," said Bruce Weinburg, a professor of economics at the University of Chicago and co-author of the study.
According to the study, published earlier this month in the journal De Economist, there are two types of people: conceptual (概念的) and experimental thinkers.
To reach this conclusion, researchers took the 31 previous winners of the Nobel Prize in economics and arranged them according to when they did their most significant work, to identify (识别) their creative peaks.
Some peaked from ages 25-29. Classified as conceptual thinkers, these people think outside of the box, coming up with new ideas before they become used to the conventional way of doing things.
The second creative peak came with economists in their 50s. These are experimental thinkers who have been in their field for a long time. This allows them to learn from errors and experiment with different processes, before eventually finding new solutions.
"Whether you hit your creative peak early or late in your career depends on whether you have a conceptual or experimental approach," said Weinburg. He added that their study isn't limited to economics, saying it can apply to other creative disciplines (知识领域). So if you're struggling to come up with new ideas, don't panic. Your creative peak may be yet to arrive.
1. What did the study from the US find?| A．Young people are not necessary more creative than the old people. |
| B．Most people take a conceptual approach when thinking. |
| C．One's creative peak is related to their job type. |
| D．Conceptual and experimental thinkers hit their peaks at different times. |
| A．Easy. | B．Unusual. |
| C．Traditional. | D．Appropriate. |
| A．Their talents usually bloom in their 20s. |
| B．They are good at doing experiments. |
| C．They work out new methods based on experience. |
| D．They are more successful than conceptual thinkers. |
| A．It's difficult to find one's talent in later years. |
| B．More research needs to be done about creative peaks. |
| C．Conceptual thinkers could be more successful in the art field. |
| D．Experimental thinkers from other fields may be most successful in their 50s. |
6 . A new study has shown how computers and robots powered by artificial intelligence can read human eye movements to “read” human personalities.
The eyes, they say, are the windows to the soul. And if that is true, computers and robots powered by sophisticated(复杂的) artificial intelligence algorithms(算法) may soon have the ability to peer into your soul. That is the result of a new study on the connection between eye movements and personality, conducted by neuroscience researchers based at the University of South Australia and Published in the scientific Journal Frontiers in Neuroscience.
“Eye movements during an everyday task predict aspects of our personality,” wrote the researchers, led by University of South Australia neuroscientist Tobias Loetscher, whose team follows 42 study subjects around the university campus recording their eye movements, then determines their personality traits(特点) with “well-established questionnaires” for determining personality type, according to a summary of the study published by the site Science Daily.
The researchers fed the data into their AI algorithms and found that computers running the algorithms were able to record human eye movements and immediately determine a person’s major personality traits, such as “neuroticism, extraversion(外向), agreeableness, conscientiousness, as well as perceptual(感知的) curiosity”, the scientists wrote.
“The new findings could improve the way human beings interact with their computers and other high-tech devices, even robots, allowing for more natural and realistic social interactions with machines,” Loetscher said.
“People are always looking for improved, personalized services. Today’s robots and computers are not socially aware so they cannot adapt to non-verbal information,” Loetscher said in a statement quoted by Indian Express. “This research provides opportunities to develop robots and computers so that they can become more natural, and better at interpreting human social signals.”
The study revealed previously undiscovered relations between specific personality characteristics and specific eye movement tendencies, according to a summary in Britain’s Daily Mail newspaper.
1. What do the underlined words “peer into” in Paragraph 2 probably mean?| A．understand | B．stare at |
| C．search for | D．concern about |
| A．It was carried out in a lab. |
| B．42 subjects’ eye movements were recorded. |
| C．The students’ daily movements were tracked. |
| D．Its subjects’ personalities were determined by computer. |
| A．Robots and computers are socially conscious. |
| B．People care less about improved, personalized services. |
| C．Today’s robots and computers can accustom to non-verbal information. |
| D．The discovery will improve the interaction between human beings and machines. |
| A．Human Personality Traits |
| B．What Human Eye Movements Are |
| C．Tell Personalities by Eye Movements |
| D．How Humans and Machines Interact |
