1 . “ Humans and machine algorithms (算法) have complementary (互补的) strengths and weaknesses. Each uses different sources of information and strategies to make predictions and decisions, ” said Mark Steyvers, UCI professor of cognitive sciences. “ We show through experiments that humans can improve the predictions of AI even when human accuracy is below that of the AI, and vice versa (反之亦然). This accuracy is higher than combining predictions from two individuals or two AI algorithms. ”
To test the framework, researchers conducted an image classification experiment where human participants and computer algorithms worked separately to correctly identify disorderly pictures of animals and everyday items including chairs, bottles, bicycles and trucks. The human participants ranked their confidence in the accuracy of each image identification as low, medium or high, while the machine classifier generated a continuous score. The results showed large differences in confidence between humans and AI algorithms across images.
“ Human participants were confident that a particular picture contained a chair, for example, while the AI algorithm was confused about the image, ” said Padhraic Smyth, UCI Chancellor’s Professor of computer science. “ Similarly, the AI algorithm was able to confidently provide a label for the object shown, while human participants were unsure if the disorderly picture contained any recognizable object. ”
When predictions and confidence scores from both were combined using the researchers’ new Bayesian framework, the mixed model led to better performance than either human or machine predictions achieved alone.
“ While the past research has demonstrated the benefits of combining machine predictions or combining human predictions, this work shows a new direction in demonstrating the potential of combining human and machine predictions, pointing to new and improved approaches to human-AI cooperation, ” Smyth said.
“ The blend of cognitive science focusing on understanding how humans think and behave and computer science in which technologies are produced will provide further insight into how humans and machines can cooperate to build more accurate artificially intelligent systems, ” the researchers said.
1. Which of the following may the research’s findings agree with?A.Humans have poor performance in making predictions. |
B.Humans and machine algorithms should work together. |
C.Machine algorithms have low accuracy in calculation. |
D.Machine algorithms failed in the classification experiment. |
A.Comparison. | B.Assumption. | C.Giving examples. | D.Analysing reasons. |
A.Difference. | B.Combination. | C.Contradiction. | D.Advantage. |
A.Humans are confident of their predictions |
B.Humans can improve the predictions of AI |
C.Develop mixed human- machine model for smarter AI |
D.Identify the strengths of humans and machine algorithms |
2 . My best friend traveled to stay with our family last weekend. When she arrived, she went straight to the kitchen and, without asking, ate a spoonful of raspberry jam and some dried fruit. She wasn’t being rude. I knew she would do this. We’ve known each other for almost 20 years. She can eat anything she wants from my kitchen. Indeed, I bought her favorite fruits and snacks at the shop that morning.
Our long weekend together was luxuriously (惬意地) simple. I was recovering from surgery (手术) and couldn’t go to shopping malls. We passed the time running errands (做杂事), going to the post office and collecting dry cleaning. We drank way too many cappuccinos. But we talked about every little detail of our lives.
There’s never been a quiet moment in our friendship. We’ve lived in different cities for almost a decade. Reunions demand constant conversation. our personalities are matched, to be sure, and a shared history is indescribably valuable. We were competitors in high school before bonding over a bad experience. Then we discovered the many interests that we had in common. Our friendship cemented (巩固) itself quickly. We stayed companions through law school, through our first jobs and our first boyfriends. We supported each other through break-ups and breakthroughs. Ours is a friendship for the ages.
There is something special about friends who know everyone and everything about you. They are rare. These are the people you’ve chosen to witness your life. They have seen the bright lights of achievement, the depths of despair (绝望) and the boring routine (平淡乏味) of the in-between.
It’s special to unpack feelings and frustrations without wasting time filling in the blanks. As my long weekend shows, with such friends we don’t have to “do”, we simply have to “be”. We drop the act, the performance, the public version of ourselves.
The special friendships are those which never fail to delight, the continuation of which is worth the extra effort, despite distance and difference sneaking (溜进) into your separate lives. I had the very great joy of this reminder last weekend. I’m lucky to have found this friend, to see a future where her companionship remains. Being together is perfection.
1. What happened during her best friend’s visit?A.They enjoyed an eventful long weekend. | B.They bonded by having long conversations. |
C.They made their favorite snacks and coffee. | D.They talked about recent news events. |
A.they help each other deal with the boredom of life |
B.they prefer to witness each other’s lives from far away |
C.they try to show each other their best selves |
D.they are comfortable being themselves when together |
A.Charm comes from differences. | B.Politeness brings best friends closer. |
C.Good friendships last naturally. | D.Good friendships need devotion. |
A.describe what her best friend is like | B.tell about the friendship she treasures |
C.explore the key aspects of friendship | D.express thanks to her best friend |
3 . Ring! Ring! Ring! It was early in the morning and I knew who was
Still, I answered the phone and
As the class started, the students
The results were
I remembered something that I once read: “Every day is a new opportunity to
A.bothering | B.calling | C.knocking | D.playing |
A.pay | B.impress | C.support | D.provide |
A.waited | B.asked | C.looked | D.headed |
A.please | B.test | C.persuade | D.surprise |
A.patient | B.honest | C.satisfied | D.angry |
A.want | B.need | C.choose | D.hesitate |
A.refused | B.received | C.took | D.completed |
A.manage | B.pretend | C.expect | D.afford |
A.agreed | B.decided | C.appeared | D.started |
A.in time | B.at last | C.at once | D.once again |
A.strict | B.worried | C.mad | D.disappointed |
A.clear | B.useful | C.fun | D.difficult |
A.strange | B.funny | C.important | D.amazing |
A.changed | B.divided | C.returned | D.disappeared |
A.again | B.even | C.finally | D.nearly |
A.confused | B.happy | C.tired | D.upset |
A.check | B.settle | C.discover | D.begin |
A.chance | B.choice | C.risk | D.goal |
A.spend | B.forget | C.waste | D.save |
A.learning | B.trying | C.asking | D.thinking |
4 . Life is like a box of chocolates, you never know what you are going to get. Each of us fails from time to time. If we are wise, we accept these failures as a
Donnie was my youngest third-grader. His
One morning, we were working on math problems at the chalkboard. Donnie had
The
A.small | B.basic | C.necessary | D.large |
A.give | B.disallow | C.offer | D.permit |
A.come | B.take | C.fall | D.suffer |
A.fear | B.lesson | C.chance | D.sense |
A.always | B.often | C.frequently | D.seldom |
A.self-protection | B.self-improvement | C.self-confidence | D.self-learning |
A.respected | B.disliked | C.avoided | D.minded |
A.brought in | B.written down | C.put off | D.searched for |
A.left | B.offered | C.missed | D.parted |
A.surprise | B.astonishment | C.anger | D.tears |
A.darkened | B.brightened | C.pulled | D.loosened |
A.lifting | B.picking | C.holding | D.pushing |
A.help | B.show | C.reward | D.promise |
A.pencils | B.mistakes | C.marks | D.containers |
A.used | B.built | C.worn | D.damaged |
A.may | B.must | C.ought | D.can |
A.my | B.someone’s | C.the teacher’s | D.your |
A.still | B.also | C.even | D.not |
A.pencil | B.words | C.mistake | D.desk |
A.warned | B.informed | C.persuaded | D.explained |
5 . Facial expressions carry meaning that is determined by situations and relationships. For example, in American culture (文化) the smile is in general an expression of pleasure. Yet it also has other uses. A woman’s smile at a police officer does not carry the same meaning as the smile she gives to a young child. A smile may show love or politeness. It can also hide true feelings. It often causes confusion (困惑) across cultures. For example, many people in Russia consider smiling at strangers in public to be unusual and even improper. Yet many Americans smile freely at strangers in public places (although this is less common in big cities).Some Russians believe that Americans smile in the wrong places; some Americans believe that Russians don’t smile enough. In Southeast Asian cultures, a smile is frequently used to cover painful feelings. Vietnamese people may tell a sad story but end the story with a smile.
Our faces show emotions (情感), but we should not attempt to "read" people from another culture as we would "read" someone from our own culture. The fact that members of one culture do not express their emotions as openly as do members of another does not mean that they do not experience emotions.
Rather, there are cultural differences in the amount of facial expressions permitted. For example, in public and in formal situations many Japanese do not show their emotions as freely as Americans do. When with friends, Japanese and Americans seem to show their emotions similarly.
It is difficult to generalize about Americans and facial expressiveness because of personal and cultural differences in the United States. People from certain cultural backgrounds in the United States seem to be more facially expressive than others. The key is to try not to judge people whose ways of showing emotion are different. If we judge according to our own cultural habits, we may make the mistake of "reading" the other person incorrectly.
1. What does the smile usually mean in America?A.Love. | B.Politeness. |
C.Joy. | D.Thankfulness. |
A.show friendliness to strangers |
B.be used to hide true feelings |
C.be used in the wrong places |
D.show personal habits |
A.Learn about their relations with others. |
B.Understand their cultural backgrounds. |
C.Find out about their past experience. |
D.Figure out what they will do next. |
A.Cultural Differences |
B.Smiles and Relationship |
C.Facial Expressiveness |
D.Habits and Emotions |
Then a visitor showed up. “Do you want to write a song?” asked Anita Kruse, 49, rolling a cart equipped with an electronic keyboard, a microphone and speakers. Simran stared. “Have you ever written a poem?” Anita Kruse continued. “Well, yes,” Simran said.
Within minutes, Simran was reading her poem into the microphone. “Some bird soaring through the sky,” she said softly. “Imagination in its head…” Anita Kruse added piano music, a few warbling (鸣, 唱) birds, and finally the girl’s voice. Thirty minutes later, she presented Simran with a CD of her first recorded song.
That was the beginning of Anita Kruse’s project, Purple Songs Can Fly, one that has helped more than 125 young patients write and record songs. As a composer and pianist who had performed at the hospital, Kruse said that the idea of how she could help “came in one flash”.
The effect on the kids has been great. One teenage girl, curling (蜷缩) in pain in her wheelchair, stood unaided to dance to a hip-hop song she had written. A 12-year-old boy with Hodgkin’s disease who rarely spoke surprised his doctors with a song he called I Can Make It.
“My time with the kids is heartbreaking because of the severity of their illnesses,” says Anita Kruse. “But they also make you happy, when the children are smiling, excited to share their CD with their families.”
Simran is now an active sixth grader and cancer-free. From time to time, she and her mother listen to her song, Always Remembering, and they always remember the “really sweet and nice and loving” lady who gave them a shining moment in the dark hour.
1. Simran Jatar lay in bed in hospital because ________.
A.most of her hair had fallen out |
B.she was receiving treatment for cancer |
C.she felt depressed and quit from school |
D.she was suffering from a pain in her back |
A.It helps young patients record songs. |
B.It is supported by singers and patients. |
C.It aims to replace the medical treatment. |
D.It offers patients chances to realize their dreams. |
A.Most children are naturally fond of music. |
B.He was brave enough to put up performance. |
C.The project has positive effect on young patients. |
D.Singing is the best way to treat some illnesses. |
A.Purple Songs Can Fly |
B.Singing Can Improve Health |
C.A Shining Moment in Life |
D.A Kind Woman—Anita Kruse |