Glastonbury Festival, one of the pioneer festivals, is famous not only for its amazing bands, but also for its wonderful performances in many fields surrounding (围绕) the stages. It attracts over 130,000 people every year, who join in the three-day party to celebrate the summer solstice, the longest day of the year.

    Glastonbury Festival has been held on Worthy Farm in Somerset since 1970. This year, all sorts of singers and bands were there, from the likes of Beyoncé, Jessie J, to my favorite — Paolo Nutini, who I really wish I could have met!

    We drove straight in to one of the muddiest (泥泞的) Glastonbury Festivals ever! We came to our camp site, carrying enough clothes for a weekend of extreme weather conditions, and spent an hour or so putting up the tent. On the second day it began to rain and didn't stop for the rest of the day. We sat in the tent waiting for it to stop, and after several hours we realized that it wouldn't. When the need for food became too strong we put on boots and raincoats and made our way across many muddy fields.

    There is something for everyone at the festival — my favourite place is the Circus Field, which is full of interactive (互动的) performances. Also, I love the Kidz Field, where famous CBBC stars perform, and where you can get your face painted then run around on a climbing frame (框架) with dragons.

When milk arrived on the doorstep

    When I was a boy growing up in New Jersey in the 1960s, we had a milkman delivering milk to our doorstep. His name was Mr.Basille. He wore a white cap and drove a white truck. As a 5-year-old boy, I couldn't take my eyes off the coin changer fixed to his belt. He noticed this one day during a delivery and gave me a quarter out of his coin changer.

    Of course, he delivered more than milk. There was cheese, eggs and so on. If we needed to change our order, my mother would pen a note-"Please add a bottle of buttermilk next delivery"—and place it in the box along with the empty bottles. And then, the buttermilk would magically appear.

    All of this was about more than convenience. There existed a close relationship between families and their milkmen. Mr. Basille even had a key to our house, for those times when it was so cold outside that we put the box indoors, so that the milk wouldn't freeze. And I remember Mr. Basille from time to time taking a break at our kitchen table, having a cup of tea and telling stories about his delivery.

    There is sadly no home milk delivery today. Big companies allowed the production of cheaper milk thus making it difficult for milkmen to compete. Besides, milk is for sale everywhere, and it may just not have been practiced to have a delivery service.

    Recently, an old milk box in the countryside I saw brought back my childhood memories. I took it home and planted it on the back porch. Every so often my son's friends will ask what it is. So I start telling stories of my boyhood, and of the milkman who brought us friendship along with his milk.

    Nervous suspects locked up in Britain's newest police station may feel relieved by a pleasant yellow color on the door . If they are close to confessing（供认）a crime , the blue on the wall might tip the balance .

    Gwent Police have abandoned colors such as greys and browns of the 20th-century police cell（牢房）and have used color psychology to decorate them .

    Ystrad Mynach station , which recently opened at a cost of ￡5 million has four cells with glass doors for prisoners who suffer from claustrophobia（幽闭恐怖症）. Designers have painted the frames yellow , which researchers say is a calming color . Other cells contain a royal blue line because psychologists believe that the color is likely to encourage truthfulness .

    The station has 31 cells , including 12 with a “live scan” system for drunken or disturbed prisoners , which detects the rise and fall of their chest . An alarm alerts officers if a prisoner's breathing stops and carries on ringing until the door is opened .

    Designers and psychologists have worked for years on color . Blue is said to suggest trust , efficiency , duty , logic , coolness , thinking and calm . It also suggests coldness and unfriendliness . It is thought that strong blues will stimulate clear thought and lighter , soft colors will calm the mind and aid concentration .

    Yellow is linked with confidence , self-respect and friendliness get the color wrong and it could cause fear , depression and anxiety , but the right yellow can lift spirits and self-respect .

    Ingrid Collins , a psychologist who specializes in the effects of color , said that color was an “ energy force ” . She said : “ Blue does enhance communication but I am not sure it would enhance truthful communication . ”

    Yellow , she said , affected the mind . Red , on the other hand , should never be considered because it could increase aggression . Mrs. Collins praised the designers for using colors in the cells . Gwent is not the first British force to experiment with color to calm down or persuade prisoners to co-operate , In the 1990s Strathclyde Police used pink in cells based on research carried out by the US Navy .

    Dreams can be familiar and strange, fantastical or boring, but some dreams might be connected to the mental processes that help us learn. In a recent study, scientists found a connection between nap time dreams and better memory in people who were learning a new skill.

    In the study, 99 college students between the ages of 18 and 30 each spent an hour on a computer, trying to get through a virtual maze (逃宫). The maze was difficult, and the study participants had to start in a different place each time they tried, making it even more difficult. They were also told to find a particular picture of a tree and remember where it was.

    For the first 90 minutes of a five - hour break, half of the participants stayed awake and half were told to take a short nap. Participants who stayed awake were asked to describe their thoughts. Participants who took a nap were asked about their dreams after sleep and they were awakened within a minute of sleep to describe their dreams.

    Stickgold, a neuroscientist, wanted to know what people were dreaming about when their eyes weren't moving during sleep.Four of the 50 people who slept said their dreams were connected to the maze. Some dreamed about the music that had been playing when they were working; others said they dreamed about seeing people in the maze. When these four people tried the computer maze again, they were able to find the tree faster than before their naps.

    Stickgold suggests the dream itself doesn't' help a person learn, it's the other way around. He suspects that the dream was caused by the brain processes associated with learning.

    All four of the people who dreamed about the task had done poorly the first time,which makes Stickgold wonder if the dreams show up when a person finds a new task particularly difficult. People who had other dreams, or people who didn't' take a nap, didn't show the same improvement.

    Everybody hates rats (big mice). But in the earthquake capitals of the world — Japan, Los Angeles, Turkey — rats will soon be man's best friends.

    What happens after an earthquake? We send in rescue dogs. Why? Because they can smell people. Dogs save lives. They help rescuers to find living people. But dogs are big and they can't get into small spaces. So now a new research project is using a smaller animal to save lives: the rat.

    How does it work? First, the rat is trained to smell people. When this happens, the rat's brain gives a signal (信号)．This is sent to a small radio on its back, and then the rescuers follow the radio signals. When the rat's brain activity jumps, the rescuers know that someone is alive. The rat has smelled that person.

    Although there are already robots which can do this job, rats are better. Christian Linster at Cornell University, New York, says, "Robots' noses don't work well when there are other smells around. Rats are good at that." Rats can also see in the dark. They are cheaper and quicker to train than dogs, and unlike robots, they don't need electricity!

    The "rat project" is not finished, but Julie Ryan of International Rescue Organization in Scotland says, "It would be wonderful. A rat could get into spaces we couldn't get to, and a rat would get out if it wasn't safe." Perhaps for the first time in history, people will be happy to see a rat in a building (but only after an earthquake, of course).

    Many leading AI researchers think that in a matter of decades, artificial intelligence will be able to do not merely some of our jobs, but all of our jobs, forever transforming life on Earth.

    The reason why many regard this as science fiction is that we've traditionally thought of intelligence as something mysterious that can only exist in biological organisms, especially humans. But such an idea is unscientific.

    From my point of view as a physicist and AI researcher, intelligence is simply a certain kind of information-processing performed by elementary particles (基本粒子) moving around, and there is no law of physics that says one can't build machines more intelligent than us in all ways. This suggests that we've only seen the tip of the intelligence iceberg and that there is an amazing potential to unlock the full intelligence that is potential in nature and use it to help humanity.

    If we get it right, the upside is huge. Since everything we love about civilization is the product of intelligence, amplifying (扩大) our own intelligence with AI has the potential to solve tomorrow's toughest problems. For example, why risk our loved ones dying in traffic accidents that self-driving cars could prevent or dying of cancers that AI might help us find cures for? Why not increase productivity through automation (自动化) and use AI to accelerate our research and development of affordable sustainable (可持续的) energy?

    I'm optimistic that we can develop rapidly with advanced AI as long as we win the race between the growing power of our technology and the knowledge with which we manage it. But this requires giving up our outdated concept of learning form mistakes. That helped us win the race with less powerful technology: We messed up with fire and then invented fire extinguishers (灭火器), and we messed up with cars and then invented seat belts. However, it's an awful idea for more powerful technologies, such as nuclear weapons or superintelligent AI—where even a single mistake is unacceptable and we need to get things right the first time.