1 . A robot with a sense of touch may one day feel “pain”, both its own physical pain and sympathy for the pain of its human companions. Such touchy-feely robots are still far off, but advances in robotic touch-sensing are bringing that possibility closer to reality.
Sensors set in soft, artificial skin that can detect both a gentle touch and a painful strike have been hooked up to a robot that can then signal emotions, Asada reported February 15 at the annual meeting of the American Association for the Advancement of Science. This artificial “pain nervous system,” as Asada calls it, may be a small building block for a machine that could ultimately experience pain. Such a feeling might also allow a robot to “sympathize” with a human companion’s suffering.
Asada, an engineer at Osaka University, and his colleagues have designed touch sensors that reliably pick up a range of touches. In a robot system named Affetto, a realistic looking child’s head, these touch and pain signals can be converted to emotional facial expressions.
A touch-sensitive, soft material, as opposed to a rigid metal surface, allows richer interactions between a machine and the world, says neuroscientist Kingson Man of the University of Southern California. Artificial skin “allows the possibility of engagement in truly intelligent ways”.
Such a system, Asada says, might ultimately lead to robots that can recognize the pain of others, a valuable skill for robots designed to help care for people in need, the elderly, for instance.
But there is an important distinction between a robot that responds in a predictable way to a painful strike and a robot that’s able to compute an internal feeling accurately, says Damasio, a neuroscientist also at the University of Southern California. A robot with sensors that can detect touch and pain is “along the lines of having a robot, for example, that smiles when you talk to it,” Damasio says. ‘It’s a device for communication of the machine to a human.” While that’s an interesting development, “it’s not the same thing” as a robot designed to compute some sort of internal experience, he says.
1. What do we know about the “pain nervous system”?| A．It is named Affetto by scientists. | B．It is a set of complicated sensors. |
| C．It is able to signal different emotions. | D．It combines sensors and artificial skin. |
| A．Delivered. | B．Translated. | C．Attached. | D．Adapted. |
| A．Robots can smile when talked to. |
| B．Robots can talk to human beings. |
| C．Robots can compute internal feelings |
| D．Robots can detect pains and respond accordingly. |
| A．Machines Become Emotional | B．Robots Inch to Feeling Pain |
| C．Human Feelings Can Be Felt | D．New Devices Touch Your Heart |
2 . Hazel Mayfield usually cooks the Thanksgiving meal for her extended family in Houston, Texas. She usually welcomes friends and neighbors who are eager to taste her fried turkey, green bean casserole, candied yams, homemade cornbread dressing, and dirty rice-just a few of her signature dishes. Known as Sugar Mama, because her grandchildren think she’s so sweet, the 91-year-old typically likes to do her own shopping for the ingredients to make her special dishes.
“My mother is the head cook of the family,” said Panulette Mouton, Mayfield’s daughter. “Because of her reputation, you know, there’re people in and out all day and every family comes through. They want to get some of Sugar Mama’s cooking, and some of them would like to learn from her how to cook the food.”
But Mayfield hasn’t been to the grocery store since March. And there is little about Thanksgiving in 2020 that’s usual. Because of Covid-19, the deadly virus that has killed millions in the U.S. and spoiled life around the world, everything is different. Since limiting close face-to-face contact with others is the best way to reduce its spread, hundreds of thousands of American families have re-imagined the holiday with virtual celebrations and canceled or delayed travel plans. There can only be small gatherings with people in their households in response to COVID-19.
This year, Mayfield’s family members, without exception, are lamenting the absence of a big gathering. They’ve explained to their young children and grandchildren why this year’s Thanksgiving is different. Mayfield’s youngest daughter, Michelle Sanders, says it’s tough to help her grandchildren understand why they can’t see some of their other family members and why they have to stay at home, celebrating Thanksgiving all by themselves.
“It’s really hard, trying to explain to them,” Sanders said. “When-you’re talking to them and they want to come over, you have to tell them no. They really don’t know how to be careful.” Sanders added, “And, they don’t understand that, being three, four, and six, you know they don’t really understand that. So, it’s...it’s really, really hard, and heartbreaking.”
1. According to the passage, Hazel Mayfield is ________.| A．helpful and kind-hearted | B．stubborn and enthusiastic |
| C．talented and instructive | D．grateful and sensitive |
| A．fascinated by | B．upset about |
| C．ignorant of | D．embarrassed at |
| A．Children are too young to understand the situation. |
| B．Children are always careless on Thanksgiving Day. |
| C．It’s tough to help children overcome their problems. |
| D．Adults should show patience when talking with kids. |
| A．People are cutting down holiday celebration expenses. |
| B．People are trying hard to get together to have more fun. |
| C．People have to make changes in their lifestyle to stay safe. |
| D．People have put more emphasis on the traditional customs. |
3 . As the effects of climate change become more disastrous, well-known research institutions and government agencies are focusing new money and attention on an idea: artificially cooling the planet, in the hopes of buying humanity more time to cut greenhouse gas emissions.
That strategy, called solar climate intervention (干预) or solar geoengineering, involves reflecting more of the sun’s energy back into space — abruptly reducing global temperatures in a way that imitates the effects of ash clouds flowing out from the volcanic eruptions. The idea has been considered as a dangerous and fancied solution, one that would encourage people to keep burning fossil fuels while exposing the planet to unexpected and potentially threatening side effects, producing more destructive hurricanes, wildfires floods and other disasters.
But. as global warming continues, producing more destructive hurricanes, wildfires floods and other disasters, some researchers and policy experts say that concerns about geoengineering should be outweighed by the imperative to better understand it, in case the consequence of climate change become so terrible that the world can’t wait for better solutions.
One way to cool the earth is by injecting aerosols (气溶胶) into the upper layer of the atmosphere. where those particles reflect sunlight away from the earth. That process works, according to Douglas MacMartin, a researcher at Cornell University.
“We know with 100% certainty that we can cool the planet,” he said in an interview. What’s still unclear, he added, is what happens next. Temperature, MacMartin said, is an indicator for a lot of climate effects. “What does it do to the strength of hurricanes?” he asked, “What does it do to agriculture production? What does it do to the risk of forest fires?”
Another institution funded by the National Science Foundation will analyze hundreds of simulations of aerosol injection, testing the effects on weather extremes around the world. One goal of the research is to look for a sweet spot: the amount of artificial cooling that can reduce extreme weather events without causing broader changes in regional rainfall patterns or similar impacts.
1. Why do researchers and government agencies work on cooling the earth?| A．To prevent natural disasters. | B．To win more time to reduce gas emissions. |
| C．To imitate volcanic eruptions. | D．To encourage more people to bur fossil fuels. |
| A．More volcanoes will throw out. |
| B．More solar energy will go into space. |
| C．More disasters will endanger the future of the world. |
| D．People will keep burning fossil fuels to keep warm. |
| A．He thinks more research remains to be done. |
| B．He is optimistic about the effect of cooling the earth. |
| C．He is concerned about the reduction in agriculture production. |
| D．He disapproves of the practice of solar climate intervention. |
| A．The rainfall pattern of a region. |
| B．The modest drop in temperature. |
| C．The number of extreme weather events. |
| D．The injection amount of aerosol. |
4 . Elizabeth Spelke, a cognitive (认知的) psychologist at Harvard, has spent her career testing the world's most complex learning system-the mind of a baby. Babies might seem like no match for artificial intelligence (AI). They are terrible at labeling images, hopeless at mining text, and awful at video games. Then again, babies can do things beyond the reach of any AI. By just a few months old, they’ve begun to grasp the foundations of language, such as grammar. They’ve started to understand how to adapt to unfamiliar situations.
Yet even experts like Spelke don’t understand precisely how babies — or adults, for that matter — learn. That gap points to a puzzle at the heart of modern artificial intelligence: We're not sure what to aim for.
Consider one of the most impressive examples of AI, Alpha Zero, a programme that plays board games with superhuman skill. After playing thousands of games against itself at a super speed, and learning from winning positions, Alpha Zero independently discovered several famous chess strategies and even invented new ones. It certainly seems like a machine eclipsing human cognitive abilities. But Alpha Zero needs to play millions more games than a person during practice to learn a game. Most importantly, it cannot take what it has learned from the game and apply it to another area.
To some AI experts, that calls for a new approach. In a November research paper, Francois Chollet, a well-known AI engineer, argued that it’s misguided to measure machine intelligence just according to its skills at specific tasks. “Humans don’t start out with skills; they start out with a broad ability to acquire new skills,” he says. “What a strong human chess player is demonstrating is not only the ability to play chess, but the potential to fulfill any task of a similar difficulty.” Chollet posed a set of problems, each of which requires an AI programme to arrange colored squares on a grid (格栅) based on just a few prior examples. It’s not hard for a person. But modern machine-learning programmes-trained on huge amounts of data — cannot learn from so few examples.
Josh Tenenbaum, a professor in MIT's Center for Brains, Minds & Machines, works closely with Spelke and uses insights from cognitive science as inspiration for his programmes. He says much of modern AI misses the bigger picture, comparing it to a cartoon about a two-dimensional world populated by simple geometrical (几何形的) people. AI programmes will need to learn in new ways — for example, by drawing causal inferences rather than simply finding patterns. “At some point — you know, if you’re intelligent — you realize maybe there's something else out there,” he says.
1. Compared to an advanced AI programme, a baby might be better at _______________.| A．labeling images | B．identifying locations |
| C．playing games | D．making adjustments |
| A．Stimulating. | B．Measuring. | C．Beating. | D．Limiting. |
| A．AI is good at finding similar patterns |
| B．AI should gain abilities with less training |
| C．AI lacks the ability of generalizing a skill |
| D．AI will match humans in cognitive ability |
| A．What is exactly intelligence? |
| B．Why is modern AI advanced? |
| C．Where is human intelligence going? |
| D．How do humans tackle the challenge of AI? |
5 . Fire ants dig tunnels efficiently by only a small percentage of the group doing most of the work. Free-loaders just sit around while their hard-working colleagues get things done. But might freeloaders actually be necessary for society to function efficiently? The answer could be yes.
Fire ants are highly social organisms. So, Goldman, a physicist at Georgia Tech, and his colleagues wanted to know how individual ants knew what to do without a central leader issuing orders. To find out, Goldman's team labeled individual fire ants with paint and then watched them dig their narrow tunnels —barely wide enough for two workers. Turns out, just 30 percent of the ants did 70 percent of the labor. “I was surprised that we ended up with so few workers actually doing the work at any one time. ” A quarter of the ants never even entered the tunnel. Others crawled inside, but left without digging single grain of dirt. These idling behaviors ensured the tunnels did not get clogged with insect traffic, which would make the construction process stop.
And when the scientists removed the five hardest working ants from the colony, others immediately jumped in to compensate (补偿) — with no reduction in the group's productivity. It seems that it doesn’t matter which ants are working or freeloading at a given time, as long as there is some division of labor to keep the tunnels flowing smoothly. The findings are in the journal Science.
The study could have implications for robotics. Imagine groups of robots sent to search rubble (碎石) for disaster survivors. Or nanobots (纳米机器人) coursing through our bodies to diagnose illness and deliver targeted medical treatment. Such robot groups will need to avoid getting jammed up in tight spaces. It might be necessary to program them so some just sit back and watch their comrades work.
1. How do fire ants get the work done when digging tunnels?| A．Only the leaders do most of the work. |
| B．They all work under the order of one leader. |
| C．They all cooperate together to do the work efficiently. |
| D．Individual fire ants know their tasks and work efficiently. |
| A．crowded | B．transported |
| C．organized | D．covered |
| A．The ants will have no idea what to do. |
| B．Other ants will take their place and do the work. |
| C．The tunnels will get blocked and the work will stop. |
| D．The leader will compensate them and give them food as the reward. |
| A．fire ants are the most diligent insects. |
| B．scientists may diagnose illness more easily. |
| C．people may feel happy when they watch their colleagues do nothing. |
| D．scientists can deal with robotics better when coming to specific programs. |
6 . Paswan and his teen daughter Jyoti Kumari recently completed the 750-mile journey from their former apartment on the outskirts of New Dehli all the way to their home village. What's remarkable is that they rode the entire distance on a bicycle they purchased with their last $20, with Jyoti pedaling(脚蹬）as her father rode on the seat with his heavy bag.
The story of their determination has inspired millions of migrant workers across the country, where the novel coronavirus lockdowns has resulted in severe work shortages. Many of these laborers have needed to take similar journeys from major cities back to their home villages where they can be supported by their family-but financial problems have left many of them stranded（使搁浅）and wondering what's next.
Things had not been going well for Paswan,even before the pandemic(大流行病）. In January, he was involved in a traffic accident while working as a rickshaw driver. His daughter, who had dropped out of school a year earlier because of the family's financial troubles, decided to make the trip to New Dehli to care for her injured father. When the lockdown hit and Paswan was unable to earn a living, their landlord cut off their electricity and threatened to kick them out of their apartment. It was then that Jyoti suggested that they head home to their village in Bihar.
Jyoti had cycled a lot in their village, and they had just enough money to purchase a bicycle. She insisted that she would get her dad home safely.
That being said, it was not a bewitching journey for Jyoti and Paswan-they often found themselves without enough to eat; they slept at gas stations, and often relied on the generosity of strangers. The pair traveled nearly 100 miles per day. On borrowed cell phones, Jyoti would reassure her worried mother:"Don't worry, I'll get Papa home good.”
True to her word, Jyoti and her father made it home. Additionally, since the Indian media has dubbed(把......称为）her “Jyoti the lionhearted",the teenage girl has been contacted by Onkar Singh, the chairman of the Cycling Federation of India, urging her to try out for the national team.
1. What caused Paswan and his daughter to decide to go home?| A．The worsening situation |
| B．The terrible traffic accident. |
| C．The expectation from family. |
| D．The desire to travel by bicycle. |
| A．Paswan and Jyoti would continue to pay the landlord. |
| B．Paswan and Jyoti lived a good life before the pandemic. |
| C．Paswan failed to earn a living due to the traffic accident. |
| D．Paswan and Jyoti had no choice but to leave New Dehli. |
| A．Tough. | B．Smooth. | C．Unforgettable. | D．Meaningful. |
| A．She might go back to New Dehli to earn a living. |
| B．She might check if she has the potential for cycling. |
| C．She might invite Onkar Singh to be her private coach. |
| D．She might complain to the media about the new name. |
7 . Imagine this: you walk into work and the camera above the doors scans your face, opening them automatically without you lifting a finger. Oh, but you need to run to the chemist's at lunch. You walk up to a camera, and your prescription（药方）is deposited in front of you. After work, you look at your face in the mirror, and it reminds you to wear sun-cream the next day. Sounds pretty good, right?
Now imagine this: when you are walking down the street, a pair of policemen pull their guns and tell you to drop to the ground. After several days in jail, they let you know you were misidentified as a violent criminal on the loose. Regardless of your innocence, you're in the system. Now wherever you go, cameras that capture you will alert police to watch out for you. Even worse, as you enter stores, the facial recognition system lets the staff know a recently arrested individual has entered the building. Doesn't sound so good?
As fantastical as either of those pictures might seem, it's quite possible that this will be the future we're headed towards. The "benefits" of the technology are already being implemented by airlines, as seen by JetBlue Airways. Rather than scanning a boarding pass or handing over a passport, you simply stare into a camera and you're identified. This does save time and make processes the best possible, but it raises the question: do you have the right to your own face? Who is responsible for the protection of this information? Can I even remove my face from this database and just go the old-fashioned way?
We humans have the never-ending need to make things smoother, better and faster. This desire has helped drive the remarkable progress we have achieved as a society. However, it's time to take a step back and ask some necessary questions. We need to discuss whether we actually need the extensive use of facial recognition technology and how to ensure law enforcement (执行) doesn't abuse this technology. If we act now, I believe we can succeed in preventing technology companies from infiltrating（潜入）every aspect of our lives. If we don't, though, I fear the worst.
1. What does the underlined word "fantastical" probably mean?| A．Unreal. | B．Optimistic. | C．Reasonable. | D．Unbearable. |
| A．Inequality of rights. | B．Disorder of society. |
| C．Violation of privacy. | D．Denial of responsibility. |
| A．Improper enforcement of laws. | B．People's lack of awareness. |
| C．Ignorance of the technology. | D．Companies' pursuit of profit. |
| A．How do we live safely with facial recognition technology? |
| B．Are we prepared for the use of facial recognition technology? |
| C．What will the future be like without facial recognition technology? |
| D．Can we prevent the development of facial recognition technology? |
8 . The world’s first fully electric plane has flown successfully for almost 15 minutes. The world’s first fully electric commercial aircraft took its first test flight on Tuesday, taking off from the Canadian city of Vancouver and offering hope that airlines may one day end their polluting emissions.
“This proves that commercial airmail in all-electric form can work,” said Roei Ganzarski, CEO of Seattle-based engineering firm MagniX. The company designed the plane’s motor and worked in partnership with Harbour Air, which carries half a million passengers a year between Vancouver, Whistler ski resort and nearby islands and coastal communities. Ganzarski said the technology would mean significant cost savings for airlines—not to mention zero emissions. “This signifies the start of the electric airmail age,” he told reporters.
Civil airmail is one of the fastest growing sources of carbon emissions as people increasingly take to the skies and new technologies have been slow to make remarkable progress. At 285 grammes of CO2 emitted per kilometre (mile) travelled by each passenger, airline industry emissions far exceed those from all other transport, according to the European Environment Agency.
The e-plane—a 62-year-old, six-passenger DHC –2 de Havilland Beaver seaplane improved on with an electric motor—was piloted by Greg McDougall, founder and CEO of Harbour Air. “For me that flight was just like flying a Beaver, but it was a Beaver on electric steroids (电动兴奋剂). I actually had to turn off the power button,” he said. McDougall took the plane in a short circle along the Fraser River near Vancouver International Airport in front of around 100 onlookers soon after sunrise.
1. What can we know from the first fully electric plane’s success?| A．The flying time of e-plane is 15 minutes at most. |
| B．The fully electric commercial airmail has functioned. |
| C．Airlines may realize the goal of zero emissions. |
| D．The fully electric plane never does damage to the environment. |
| A．Means. | B．Proves. | C．Changes. | D．Follows. |
| A．The pollution caused by passengers. | B．The backward airmail technology. |
| C．The current situation of civil airmail. | D．The growing sources of carbon emissions. |
| A．Shocked. | B．Positive. | C．Doubtful. | D．Objective. |
9 . According to a recent study in the Journal of Consumer Research, both the size and consumption habits of our eating companions can influence our food intake. And contrary to existing research that says you should avoid eating with heavier people who order large portions(份), it's the beanpoles with big appetites you really need to avoid.
To test the effect of social influence on eating habits, the researchers conducted two experiments. In the first, 95 undergraduate women were individually invited into a lab to ostensibly(表面上)participate in a study about movie viewership. Before the film began, each woman was asked to help herself to a snack. An actor hired by the researchers grabbed her food first. In her natural state, the actor weighed 105 pounds. But in half the cases she wore a specially designed fat suit which increased her weight to 180 pounds.
Both the fat and thin versions of the actor took a large amount of food. The participants followed suit, taking more food than they normally would have. However, they took significantly more when the actor was thin.
For the second test, in one case the thin actor took two pieces of candy from the snack bowls. In the other case, she took 30 pieces. The results were similar to the first test: the participants followed suit but took significantly more candy when the thin actor took 30 pieces.
The tests show that the social environment is extremely influential when we're making decisions. If this fellow participant is going to eat more, so will I. Call it the “I’ll have what she's having” effect. However, we'll adjust the influence. If an overweight person is having a large portion, I'll hold back a bit because I see the results of his eating habits. But if a thin person eats a lot, I'll follow suit. If he can eat much and keep slim, why can't I?
1. What is the recent study mainly about?| A．Food safety. | B．Movie viewership. |
| C．Consumer demand. | D．Eating behavior. |
| A．Big eaters. | B．Overweight persons. |
| C．Picky eaters. | D．Tall thin persons. |
| A．To see how she would affect the participants. |
| B．To test if the participants could recognize her. |
| C．To find out what she would do in the two tests. |
| D．To study why she could keep her weight down. |
| A．How hungry we are. | B．How slim we want to be. |
| C．How we perceive others. | D．How we feel about the food. |
10 . When you were trying to figure out what to buy for the environmentalist on your holiday list, fur probably didn’t cross your mind. But some ecologists and fashion (时装)enthusiasts are trying to bring back the market for fur made from nutria(海狸鼠).
Unusual fashion shows in New Orleans and Brooklyn have showcased nutria fur made into clothes in different styles. “It sounds crazy to talk about guilt-free fur-unless you understand that the nutria are destroying vast wetlands every year”, says Cree McCree, project director of Righteous Fur.
Scientists in Louisiana were so concerned that they decided to pay hunters $5 a tail. Some of the fur ends up in the fashion shows like the one in Brooklyn last month.
Nutria were brought there from Argentina by fur farmers and let go into the wild. “The ecosystem down there can’t handle this non-native species(物种).It’s destroying the environment. It’s them or us.” says Michael Massimi, an expert in this field.
The fur trade kept nutria in check for decades，but when the market for nutria collapsed in the late 1980s，the cat-sized animals multiplied like crazy.
Biologist Edmond Mouton runs the nutria control program for Louisiana. He says it’s not easy to convince people that nutria fur is green, but he has no doubt about it. Hunters bring in more than 300,000 nutria tails a year, so part of Mouton’s job these days is trying to promote fur.
Then there’s Righteous Fur and its unusual fashion. Model Paige Morgan says，”To give people a guilt-free option that they can wear without someone throwing paint on them-I think that’s going to be a massive thing, at least here in New York.” Designer Jennifer Anderson admits it took her a while to come around to the opinion that using nutria fur for her creations is morally acceptable. She is trying to come up with a label to attach to nutria fashions to show it is eco-friendly.
1. What is the purpose of the fashion shows in New Orleans and Brooklyn?| A．To promote guilt-free fur. |
| B．To expand the fashion market. |
| C．To introduce a new brand. |
| D．To celebrate a winter holiday. |
| A．Nutria damage the ecosystem seriously. |
| B．Nutria are an endangered species. |
| C．Nutria hurt local cat-sized animals. |
| D．Nutria are illegally hunted. |
| A．Boomed. | B．Became mature. | C．Remained stable. | D．Crashed. |
| A．It’s formal. | B．It’s risky. | C．It’s harmful. | D．It’s traditional. |
