Henry Ford was born on a farm on July 30th, 1863. The farm was near the city of Detroit.

    Henry was always interested in machines. He enjoyed fixing clocks.And he helped repair farm equipment. When Henry was sixteen years old, he left the family farm and went to Detroit to learn more about machines. Henry used what he learned from work to develop engines. In 1903, he was ready to start building cars for the public. On July 15th, 1903, a man named Doctor Pfenning bought the first car from the Ford Motor Company.

    The sale to Doctor Pfenning was the beginning of a huge number of requests for Ford cars.By the end of March, 1904, almost 600 Ford cars had been sold. At the start of 1905, the Ford Motor Company was producing 25 cars each day.

    Henry Ford was sure the future of the automobile industry was in a low-priced car for the general public. He said then, and many times after,“I want to make a car that anybody can buy.”

    In 1907, Henry Ford said: "I will build a motor car for the great mass of people. 1t will be large enough for the family, but small enough for one person to operate and care for. It will be built of the best materials. It will be built by the best men to be employed. And it will be built with the simplest plans that modern engineering can produce. It will be so low in price that no man making good money will be unable to own one.”

    If your job requires a lot of sitting,you could be putting your health at danger.

    The American Journal of Epidemiology（流行病学）did a study in 2010 on the connection between sitting and an individual's physical health.In the study,53,440 working men and 69,776 working women were surveyed on their time spent sitting.The subjects were all disease free when employed.The researchers identified 11,307 deaths in men and 7,923 deaths in women during the 14-year follow-up.

    The findings: Women who reported sitting for more than six hours per day had an approximately 40 higher all-cause death rate than those who reported less than three hour a day,and men had an approximately 20 higher death rate.

Well,now is a fine time to get this information.But why didn't they tell me this years ago?I would have planned on taking a more active job instead of the sedentary（坐着的）job of an editor.

    So what can you do if you have to work for a living at a job that requires a lot of sitting?Here are some ideas:

    Take frequent breaks.It is recommended that workers vary activities,change their position,and take short breaks every 20 minutes to rest muscles and increase blood circulation.Get a standing desk.Some studies have shown that working from an upright position may be better for health.The serious fitness people can even purchase a treadmill （跑步机）desk.It only goes about one mile per hour.Have a walking meeting.If your group is kind of small,going for a walk while discussing topics is a good alternative.

    On the eve of our daughters' weddings, I gave both of them what I considered to be excellent marital advice: never leave your husband unsupervised （无人监督的） with pruning shears （修枝剪）.

    If only I had taken my own advice. I recently let my guard down. Thirty﹣some years of marriage can do that to a woman. Give a man pruning shears and electric trimmers （电动修剪器） and he will give new meaning to "armed and dangerous."

One day earlier this year, my husband said that the crab apple tree was dead.

    "Why do you think it is dead?" I asked.

    "Look at it. There's not a leaf on it."

    "There's not a leaf on anything. It's March," I said.

    "It looked sick last fall and with this bitter winter we had, I'm convinced it's dead."

    The truth is he's never liked the crabapple. Sure, it has beautiful blooms in the spring, but then it gets a disease, the leaves curl, and it drops those little apples that sit on the driveway.

    Each passing week he pronounced the tree dead. Eventually I began to believe him. Though he agreed it would be a regrettable loss, there was a twinkle in his eye. He armed himself a couple of weeks ago and began trimming. A branch here, a branch there, a small limb, then a large limb. I watched and then decided to check the wood on some of the branches closer to the trunk. I broke one off and saw green.

    The crabapple was not dead. It just hadn't had time to leaf out. The tree was now falling to one side, but it was not dead. I would have told him so, but he had moved on to a maple. Once the man starts, he can't stop. One trim leads to another.

    "Please, stop!" I called.

    He smiled and nodded, but he couldn't hear because he had started the hedge （树篱） trimmers and was getting ready to fix a line of hedges.

    Zip （飕飕声）, zip, zip.

    "What do you think?" he shouted.

    "It's supposed to be a privacy hedge; now all that will be private are our ankles."

    He started the trimmers again.

    "Stop!" I called, "Come back!"

    "Why?" he shouted.

    "You're in the neighbor's yard."

    Samuel Morse was born in Massachusetts USA. He started off his career as an inventor after being a painter and sculptor (雕塑家). He even earned a gold medal from the famous Adelphi Society of Arts for his first effort in sculpture, the "Dying Hercules". He became the first president of the National Academy of Design, and was made Professor of the Arts of Design in the University of the City of New York.

    Yet, this painter turned to inventing to make his fortune during a sea voyage. On this journey, Samuel Morse heard about many attempts to create usable telegraphs. He was fascinated by this problem and began to study books on physics for two years to gain more scientific knowledge. He realized that pulses (脉冲) of electrical current could carry information over wires.

    Thus the world's first working model of a telegraph was born. His signaling device was quite simple. It consisted of a transmitter (containing a battery and a key), a small buzzer (蜂鸣器) as a receiver and a pair of wires connecting the two. Samuel Morse improved it by adding a switch and a second buzzer to allow transmission (传播) in the opposite direction as well.

    On May 24, 1844 Samuel Morse sent the first electronic message between Baltimore and Washington, "Look what God has enabled us to build, and benefit by."

    Seventeen years later, the two coasts of the United States were linked by telegraph. The telegraph continued to enjoy the position of being the fastest and most reliable means of communication for almost 140 years since its invention.

The Mona Lisa is the famous Leonardo da Vinci painting of a woman with a mysterious smile. This week, the painting gave up a secret.

Scientists used X-rays to examine the chemical organization of an extremely small part of the more than 500-year-old painting. The researchers discovered a technique Leonardo used in the work. A team in France and Britain discovered an oil paint used for the Mona Lisa was a special, new chemical mixture. It suggests that the Italian artist may have been in an experimental mood when he set to work on the painting early in the 16th century.

"He was someone who loved to experiment, and each of his paintings is completely different technically," said Victor Gonzalez. He is the study's lead writer. "In this case, it's interesting to see that indeed there is a specific technique for the ground layer of the Mona Lisa," he said in an interview with The Associated Press. Specifically, the researchers found a rare compound, plumbonacrite (水蛭石), in Leonardo's first layer of paint. The discovery, Gonzalez said, proved that da Vinci most likely used lead oxide to thicken and help dry his paint.

The scientists looked into its atomic structure using X-rays in a synchrotron (同步加速器). The machine moves particles at close to the speed of light, permitting researchers to look deeper into the paint structure. "Plumbonacrite is really a fingerprint of his recipe," Gonzalez said. "It's the first time we can actually chemically prove it."

Dutch artist Rembrandt may have used a similar mixture when he was painting in the 17th century. Gonzalez and other researchers have found plumbonacrite in his work, too. "It also tells us that those recipes were passed on for centuries," Gonzalez said. "It was a very good recipe."

But the Mona Lisa and additional works by Leonardo still have other secrets to tell. "There are plenty, plenty more things to discover," Gonzalez said. "What we are saying is just a little brick more in the knowledge."

Superhuman artificial intelligence is already among us. Well, sort of. When it comes to playing games like chess and Go, or solving difficult scientific challenges like predicting protein structures, computers are well ahead of us. But we have one superpower they aren't close to mastering: mind reading.

Humans have a mysterious ability to reason the goals, desires and beliefs of others, a vital skill that means we can predict other people's actions and the consequences of our own. Reading minds comes so easily to us, though, that we often don't think to spell out what we want. If AIs are to become truly useful in everyday life, we have to give them this gift that evolution has given us to read other people's minds.

Psychologists refer to the ability to infer other's mental state as theory of mind. In humans, this ability starts to develop at a very young age. How to reproduce the competence in machines is far from clear, though. One of the main challenges is context. For instance, if someone asks whether you are going for a run and you reply "it's raining", they can quickly conclude that the answer is no. But this requires huge amounts of background knowledge about running, weather and human preferences. Moreover, whether humans or AI, the theory of mind is supposed to appear naturally from one's own learning process.

Yet we might still want AI to have a more human-like form of theory of mind. While letting AI form the theory of mind in their learning process is likely to lead to developing more powerful AI, plainly building in shared ways to represent knowledge may be crucial for humans to trust and communicate with AI.

It is important to remember, though, that the pursuit of machines with theory of mind is about more than just building more useful robots. It is also a stepping stone on the path towards a deeper goal for AI and robotics research: building truly self-aware machines. Whether we will ever get there remains to be seen, but we are on the path to learning to think about ourselves.