My husband Jeff and I moved into our new home in Scottsbluff last year just before Christmas. I did not have the time or energy to carry out my traditional Christmas decorating and baking activities. What was the point, anyway? It was going to be a lonely Christmas after all.

    However, the neighborly nature of west Nebraska residents started to trickle (陆续来临) in.

    There was a knock on the door one evening. It was Jeff's new colleague, John Smith, and his wife, Phyllis. The Smiths had stopped by to welcome us to town with a loaf of homemade bread. They pointed out a package on the porch (门廊). Apparently the doorbell wasn't working in the cold snowy weather and we had missed a visit from the Browns, our across-the-street neighbors, who brought us a Christmas card and more Christmas cookies.

    Then, we received an invitation to share a Christmas Eve meal with our neighbors, Ernie and Nancy Sommer, and their guest—a 90-year-old lady, who also had no family in the immediate area with whom to spend the holiday.

    I was so grateful for these gestures of welcome, especially during the holidays.

    This year, we were again unable to be with our families for Christmas. The distance and work schedules just made things too difficult. Knowing that sense of Christmas isolation all too well, we decided to try to round up some other folks who were alone in the holidays.

    Lonely people are all around us, but most of us seldom notice them. Just take a look around you. Sometimes, the smallest kind gesture can make a world of difference.

    The technology is great. Without it we wouldn't have been able to put a man on the moon, explore the ocean's depths or eat microwave sausages. Computers have revolutionized our lives and they have the power to educate and pass on knowledge. But sometimes this power can create more problems than it solves.

    Every doctor has had to try their best to calm down patients who've come into their surgery waving an Internet print-out, convinced that they have some rare incurable disease, say, throat cancer. The truth is usually far more ordinary, though: they don't have throat cancer, and it's just that their throats are swollen. Being a graduate of the Internet “school” of medicine does not guarantee accurate self-health-checks.

    One day Mrs. Almond came to my hospital after feeling faint at work. While I took her blood sample and tried to find out what was wrong, she said calmly, “I know what's wrong；I've got throat cancer. I know there's nothing you doctors can do about it and I've just got to wait until the day comes.”

    As a matter of routine I ordered a chest X-ray. I looked at it and the blood results an hour later. Something wasn't right. “Did your local doctor do an X-ray?” I asked. “Oh, I haven't been to the doctor for years,” she replied. “I read about it on a website and the symptoms fitted, so I knew that's what I had.”

    However, some of her symptoms, like the severe cough and weight loss, didn't fit with it—but she'd just ignored this.

    I looked at the X-ray again, and more tests confirmed it wasn't the cancer but tuberculosis (肺结核)—something that most certainly did need treating, and could be deadly. She was lucky we caught it when we did.

    Mrs. Almond went pale when I explained she would have to be on treatment for the next six months to ensure that she was fully recovered. It was certainly a lesson for her. “I'm so embarrassed,” she said, shaking her head, as I explained that all the people she had come into close contact with would have to be found out and tested. She listed up to about 20, and then I went to my office to type up my notes. Unexpectedly, the computer was not working, so I had to wait until someone from the IT department came to fix it. Typical. Maybe I should have a microwave sausage while I waited?

    A linguist is always listening, never off-duty. I invited a group of friends round to my house, telling them that I was going to record their speech. I said I was interested in their regional accents, and that it would take only a few minutes. Thus one evening, three people turned up at my house and were shown into my front room. When they saw the room they were a bit anxious, for there was a microphone at head height, with wires leading to a tape-recorder in the middle of the floor. They sat down, rather nervously, and I explained that all I wanted was for them to count from 1 to 20. Then we could relax and have a drink. I turned on the tape-recorder and each in turn counted seriously from 1 to 20 in their best accents. When it was over, I turned the tape-recorder off and brought round the drinks. The rest of the evening was spent in total relaxation. I joined them in talking and joking freely, leaving them only to take a telephone call, which lasted some time.

    As a matter of fact, the microphones were not connected to the tape-recorder in the middle of the room at all but to another one in the kitchen. My friends, having seen the visible tape-recorder turned off, paid no more attention to the microphone which stayed in front of their chairs, only a few inches from their mouths, thus giving excellent sound quality. And my long absence meant that I was able to get as natural a piece of conversation as it would be possible to find I should add, perhaps, that I did tell my friends what had happened to them, after the recording was over, and asked them whether it should be destroyed. None of them wanted to—but for some years after that, it always seemed that when it came to buying drinks, it was I who paid for them. Linguistic research can be a very expensive business.

    There was a lot of news related to artificial intelligence, or AI, and machine learning. Among the stories were two dealing with direct competitions between humans and machines.

    In one competition, machines that used AI performed better than human beings in a high-level reading test. Two natural language processing tools beat human in the experiment. One of the tools was built by the American technology company Microsoft. The other was created by Chinese online seller Alibaba Group.

    In another competition, a computer took on humans in live, public debates.

    The event demonstrated how AI-powered computers are increasingly being developed to think ' and sound like humans. The organizer of the debates, U. S. technology company IBM, announced split results. It said a majority of those watching said they felt the machine had done more to improve their knowledge of the subject. But, the human got more praise for communicating their ideas.

    This year, we also explored the many ways AI and machine learning are now being used. For example, some U. S. judges use machine learning systems to help them decide when, and for how long, criminals should be jailed. The system uses computers to examine data from thousands of court cases.

    One fast-growing area of AI is facial recognition, which is increasingly being used for security purposes. Recently, Atlanta's Hartsfield-Jackson airport became the first in the U. S. to permit passengers to use facial recognition technology to get on flights. A Chinese company showed off an AI system it developed to recognize individuals by body shape and walking movements. The system is already being used by Chinese police in Beijing and Shanghai.

    In addition, machine learning was used during 2018 to predict results of the World Cup soccer competition. The technology also created artwork that sold for a large amount of money. And it is being used to help farmer save time and money, while reducing environment-harming chemicals. Other technology systems are being used to follow farm animals and wildlife to collect information on their activities.

    The idea that computers have some amount of "intelligence" is not new, says Ralph Haupter, the president of Microsoft Asia, pointing as far back as 1950 when computer pioneer Alan Turing asked whether machines can think. "So it has taken nearly 70 years for the right combination of factors to come together to move AI from concept to reality," says Haupter.

    It is predicted that the development of artificial intelligence will be the story of the coming generations, not just the coming year, but as 2019 gets underway, you'll find AI will begin to touch your life in many ways according to some researchers.

"Personal assistant AIs will keep getting smarter. As our personal assistants learn more about our daily routines, I can imagine the day I need not to worry about preparing dinner. My AI knows what I like to eat, which days of the week I like to cook at home, and makes sure that when I get back from work all my groceries are waiting at my doorstep, ready for me to prepare that delicious meal I had been longing for." —Alecjandro Troccoli, senior research scientist, NVIDIA.

"Thanks to AI, the face will be the new credit card, the new driver's license and the new barcode (条形码). Facial recognition is already completely transforming security with biometric capabilities being adopted, and seeing how technology and business are connected, like Amazon is with Whole Foods, I can see a near future where people will no longer need to stand in line at the store." —Georges Nahon, president, Orange Institute, a global research laboratory.

"2019 will be the year AI becomes real for medicine. By the end of the year we're seeing solutions for population health, hospital operations and a broad set of clinical specialties quickly follow behind." —Mark Michalski, executive director, Massachusetts General Hospital.

    We discuss the issue of when to help a patient die, which was not talked about openly and little was written about it.

    The best way to bring the problem into focus is to describe two patients whom I cared for. The first, formerly a nurse, had an automobile accident. And there she was: in coma, on a breathing machine. One day, her husband and son came to see me. They told me their wife and mother was obviously going to die; she was a nurse and had told her family that she never wanted this kind of terrible death, being maintained by machines. I told them that while I respected their view, there was nothing deadly about her situation. The kidney(肾) failure she had was just the kind for which the artificial (人造的) kidney was most effective. While possibly a bit reassured, they were disappointed. Here was the head surgeon seemingly determined to keep everybody alive, no matter what.

    Within a few days the patient awoke from her coma. About six months later, the door of my office opened and in walked a gloriously fit woman. After some cheery words of appreciation, the father and son asked to speak to me alone. As soon as the door closed, both men became quite tearful. All that came out was, "We want you to know how wrong we were."

    The second patient was an 85-year-old lady whose hair caught fire while she was smoking. She arrived with a deep burn; I knew it would surely be deadly. At the time, there was a class discussing medical ethics(道德). The instructor asked me if I had any sort of ethical problem I could bring up for discussion. I described the case and asked the students their opinion. After the discussion, I made a remark that was, when looking back, a serious mistake. I said, "I'll talk with the nurses before we decide." The instructor and the students were shocked: "You mean this is a real patient?" The teacher of ethics was not accustomed to being challenged by actuality.

    A day or two later, when the lady was making no progress and was suffering terribly, we began to back off in treatment. Soon she died quietly and not in pain. As a reasonable physician, you had better move ahead and do what you would want done for you. And don't discuss it with the world first. There is a lesson here for everybody. Assisting people to leave this life requires strong judgment and long experience to avoid its misuse.