Earthquake in Japan.Donald Trump is accused of planting story about actress’s height after she rejected him. Mexico arrests ex-police chief in case of 43 missing students. Do you really need to know all these things?

Three years ago, I began an experiment. I stopped reading all newspapers and magazines. Televisions and radios were rejected. I deleted the news apps from my iPhone. I didn’t touch a single free newspaper and deliberately looked the other way when someone tried to offer me any such reading material. The first weeks were hard. Very hard! I was constantly afraid of missing something. But after a while, I had a new understanding. The result after three years: clearer thoughts, more valuable ideas, better decisions, and much more time. And the best thing? I haven’t missed anything important.

A dozen reasons exist to give news a wide berth. Here are the top three: First, our brain reacts differently to different types of information. Shocking, people-based, fast-changing details all appeal to us. News producers capitalize on this. The result: Everything complex, abstract, and profound(深刻的) must be systematically singled out, even though such stories are much more relevant to our lives and to our understanding of the world. As a result, we walk around with a misrepresented mental map of the risks and threats we actually face.

Second, news is irrelevant. In the past year, you have probably consumed about ten thousand pieces of news. Be very honest: Name one of them, just one that helped you make a better decision—for your life, your career, or your business—compared with not having this piece of news. No one I have asked has been able to name more than two useful news stories—out of ten thousand. News organizations claim that their information gives you a competitive advantage. Too many fall for this. If news really helped people advance, journalists would be at the top of the income pyramid.

Third, news is a waste of time. An average human being spends half a day each week reading about current affairs. This is a huge loss of productivity. Take the 2008 terror attack in Mumbai. Let’s say a billion people viewed the minute-by-minute updates and listened to the chatter of a few “experts” and “commentators.” Thus our conservative calculation: One billion people multiplied by an hour’s distraction equals one billion hours of work stoppage. News wasted around two thousand lives—ten times more than the attack.

I would predict that turning your back on news will benefit you as much as removing any of the other ninety-eight errors we have covered in the pages of this book. Read long background articles and books. Nothing beats books for understanding the world.

1.How did the author feel at the beginning of his experiment?

A. He was in constant fear.

B. He enjoyed it very much.

C. He had a better vision about life.

D. He missed his friends and relatives.

2.What does the underlined phrase in Paragraph 3 probably mean?

A. Refuse to read news.

B. Select newscarefully.

C. Question news.

D. Help circulate news.

3.In the author’s opinion, news ________.

A. represents a competitive advantage

B. offers a mental map of the world

C. leads to a loss of productivity

D. brings journalists’ income up

4.What’s the main purpose of writing the passage?

A. To offer tips on choosing news.

B. To advocate giving up reading news.

C. To share experiences on avoiding news.

D. To criticize media’s misleading choice of news.

Every year billions of pounds are spent on hair loss treatment. If we succeed in curing hair loss with 3D printed hair follicles(毛囊), it will be a huge revolution.

L’Oreal, the cosmetics firm is partnering with a French bio-printing company called Poietis, which has developed a form of laser(激光) printing for cell-based objects. Poietis’ technique begins with the creation of a digital map that determines where living cells and other tissue components should be placed to create the desired biological structure. This involves how the cells are expected to grow over time. The file based on the digital map is then turned into instructions for the printing equipment, so that it can lay down tiny droplets made out of the cell-based "bio ink" one layer at a time. The printing process involves bouncing a pulsing laser off a mirror and through a lens, so that when it hits a ribbon(色带) containing the bio ink, a droplet of the matter falls into place. About 10,000 of these micro-droplets are created every second.

It typically takes about 10 minutes to print a piece of skin 1cm wide by 0.5mm thick. However, since hair follicles are complex and consist of 15 different cells in a structure, they may take longer.

Poietis is not the only company working on bio-printing, but most others use another way, which involves pushing a bio-ink through a nozzle(喷嘴), rather than lasers to build their tissue. Poietis suggests its technique puts less stress on the biological matter, meaning there is less risk of causing it damage.

Alopecia UK—a charity that provides support and advice about hair loss—has mixed feelings about the development. “It is encouraging to know that companies such as L’Oreal are investing in technology that may help those with hair loss in the future,” said spokeswoman Amy Johnson.

“However, we would suggest it’s still very early to be getting excited about what this potentially could mean for those with medical hair loss. At this point it is unclear as to whether this technology could benefit those with all types of hair loss.”

“Also, if this new technology does lead to a treatment option, given the high costs of existing hair transplant procedures, how many people will be able to realistically afford any new technological advances that may become available? As with any other research and development into processes that may be able to help those with hair loss, we watch with great interest.”

1.What does Paragraph 2 mainly tell us?

A. How the printing process is carried out.

B. Where the living cells should be placed.

C. How long the cells are expected to grow.

D. What the printing equipment is made up of.

2.What does the underlined word “it” in Paragraph 4 refer to?

A. hair follicleB. biological matter

C. nozzleD. bio-ink

3.The passage implies that the new technology may ______.

A. meet some practical challenges

B. help people with hair loss at present

C. offer solutions to all problems of hair loss

D. cost a large sum of money to transplant hair

4.What is Amy Johnson’s attitude towards the new technology?

A. Disapproving.B. Optimistic.

C. Cautious.D. Negative.

Computers have beaten human world champions at chess and, earlier this year, the board game Go. So far, though, they have struggled at the card table. So we challenged one AI to a game.

Why is poker(扑克) so difficult? Chess and Go are “information complete” games where all players can see all the relevant information. In poker, other players’ cards are hidden, making it an “information incomplete” game. Players have to guess opponents’ hands from their actions—tricky for computers. Poker has become a new benchmark for AI research. Solving poker could lead to many breakthroughs, from cyber security to driverless cars.

Scientists believe it is only a matter of time before AI once again vanquishes humans, hence our human-machine match comes up in a game of Texas Hold’s Em Limit Poker. The AI was developed by Johannes Heinrich, researcher studying machine learning at UCL. It combines two techniques: neural(神经的) networks and reinforcement learning(强化学习).

Neural networks, to some degree, copy the structure of human brains: their processors are highly interconnected and work at the same time to solve problems. They are good at spotting patterns in huge amounts of data. Reinforcement learning is when a machine, given a task, carries it out, learning from mistakes it makes. In this case, it means playing poker against itself billions of times to get better.

Mr Heinrich told Sky News: “Today we are presenting a new procedure that has learned in a different way, more similar to how humans learn. In particular, it is able to learn abstract patterns, represented by its neural network, which allow it to deal with new and unseen situations.”

After two hours of quite defensive play, from the computer at least, we called it a draw.

1.Why can’t the computer beat humans at the poker game?

A. Because humans are cleverer than the computer.

B. Because humans practice playing the poker game every day.

C. Because the computer can’t learn the regular rules of the poker game.

D. Because the computer can’t know the other players’ cards completely.

2.What does the underlined word “vanquishes” in Paragraph 3 mean?

A. Leaves.B. Defeats.C. Cheats.D. Serves.

3.What do we know about the reinforcement learning of AI?

A. It solves problems correctly every time.

B. It is the same as the learning of humans.

C. It learns from the mistakes appearing in a task.

D. It is more developed than the studying ways of humans.

4.What can be inferred from the text?

A. The new procedure of AI has some features of humans.

B. Computers are stronger than humans in every aspect.

C. Humans will beat computers at playing poker forever.

D. Scientists feel unhappy about the result of the poker game.

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