The old man walked with a cane（拐杖）slowly into the restaurant. His poor jacket.

    patched（打补丁）trousers and worn-out shoes made him stand out from the usual Saturday morning breakfast crowd. Unforgettable were his pale blue eyes that sparkled like diamonds，large rosy cheeks，and thin lips held in a steady smile.

    He walked towards a table by the window. A young waitress watched him and ran over to him， saying，“Here, Sir. Let me give you a hand with that chair”

    Without a word，he smiled and nodded a thank you. She pulled the chair away from the table. Steadying him with one arm， she helped him move in front of the chair， and get comfortably seated. Then she pushed the table up close to him，and learned his cane against the table where he could reach it.

    In a soft，clear voice he said, “Thank you, Miss”

    “You are welcome, Sir.” she replied，“My name is Mary. I'll be back in a moment. If you need anything, just wave at me.”

    After he had finished a hearty meal of pancakes，bacon，and hot lemon tea，Mary brought him the change, helping him up from his chair and out from behind the table. She handed him his cane， and walked with him to the front door. Holding the door open for him, she said, “Come back and see us, Sir.”

    He nodded a thank you and said softly with a smile, “You are very kind！”

    When Mary went to clean his table，she was shocked. Under his plate she found a business card and a note written on the napkin, under which was a 100$ bill.

    The note on the napkin read，“Dear Mary，I respect you very much， and you respect yourself，too. It shows by the way you treat others. You have found the secret of happiness. Your kind gestures will shine through those who meet you. ”

    The man she had served was the owner of the restaurant. This was the first time that she，or any of his employees, had seen him in person.

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    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.

    In Kansas City, Missouri, a computer helps firefighters. The computer, which works very fast, has information about all the 350, 000 street addresses in the city. Within two or three seconds after a call is received, the computer provides necessary information for the firefighters. The information is then sent to them by radio from the computer centre in the City Hall. The exact place of the burning building and its size, type and any other details are clear to them.

    The Kansas City computer system also has a medical record of each of the city's 900 firefighters. This kind of information is especially useful when a firefighter is injured. With the information, doctors at hospital can treat the injured firefighters more quickly and easily.

    The firefighters themselves greatly appreciate the computer's help. They know about possible danger ahead of them and can prepare for it. Many times the computer information helps to save lives and property (财产). Sometimes the lives are those of firefighters themselves.

    Mike Horan, a firefighter captain, says, "I feel as if the computer is ready to help me if I get hurt."

    When you need a job very much, you may end up taking one for which you are over qualified. Although you were initially grateful just to have the work, you now feel bored and depressed. Is there any way to change that?

    Start by changing your opinion, says Caitlin Kelly, the author of Malled, a book based on her experience as a sales clerk after losing her job in journalism. "Don't focus on what you're not getting but what you are getting," she says. "Be patient and work attentively with a wide range of people. It doesn't matter what the job is –there are always things you can learn and skills you can develop."

    Hilary Pearl, the founder of a coaching firm, says, "Tell yourself the current situation isn't the end of your career. Don't overdramatize(过分夸大)the negative aspects but try to view the situation more philosophically: life has a series of stages, and this is one of them. Don't forget to study even in the worst stage."

    Consider that because you're overqualified, you may be able to learn or do things on the job that might not have been possible in a more demanding position, says Sarah Hathorn, the chief executive of Illustra Consulting. "You could spend your extra time in learning different aspects of the business and teaching others in the organization," she says.

    Is it possible to make your work more challenging, even if your job responsibilities aren't likely to change?

    Of course, you may seek tasks and responsibilities that force you to learn something new or to work harder. "You may be operating on autopilot(习惯性地)right now, but chances are that people above you are stressed," Sarah Hathorn says." Take things off your boss's plate and let him know which projects or tasks you want to learn more about."

    Always express your request positively, saying that you love new challenges, rather than complaining that you're bored and underused, says Ethun, the president of the Park Avenue Group. In your down time, educate yourself about the company and its industry. "Read corporate information, analyst reports and related news articles," she says. "If your boss accepts your suggestions, it will make you a more valuable employee."

    Learning is so complex that there are many different psychological theories to explain how people learn. A psychologist named Albert Bandura suggested a social learning theory which shows that observation, imitation (模仿), and modeling play a primary role in this process.

    In Albert Bandura's opinion, people can learn through observation. Observational learning doesn't even necessarily require watching another person join in an activity. We can also learn by reading, hearing, or watching the actions of characters in books and films. However, just observing someone else's actions isn't always enough to lead to learning. Your own mental state also plays an important role in determining whether a behavior is learned or not. In addition, though in many cases, learning can be seen immediately when the new behavior is displayed, yet sometimes we can learn things even though that learning might not be immediately obvious, which means people can learn new information without showing new behaviors.

    Not all observed behaviors are effectively learned. Certain requirements need to be related to the observational learning process. For example, you need to be paying attention. Also your retention is an important part of observational learning as you need to pull up information later and act on it during the process. Once you've paid attention to the model and kept the information, it's time to actually perform the behavior you observed. Further practice of the learned behavior leads to improvement. Finally, you have to be motivated to imitate the behavior that has been modeled.

    Social learning theory have many real-world applications. For example, researchers employ it to look into and understand ways that positive role models can be used to encourage desirable behaviors. Besides, it's also applied in the field of education, and today, both teachers and parents recognize how important it is to model appropriate behaviors.