Texting while walking is something that most of us are guilty of. We can't help replying to that message we just received. However, while it's fun to keep up with the latest gossip, we may actually be putting ourselves in danger.

    A team of researchers from two UK universities recently found that people who use their phones while on the move walk differently than usual.

    “Recently, a person in front of me was walking very slowly and weaving (迂回行进), and I thought, 'Is this person drunk?'” Matthew Timmis, co-author of the study, told the Guardian.

    It turned out that the person was just texting. Inspired by this, Timmis and his team set out to discover the effects of phone use on how we navigate streets.

    A group of 21 volunteers were asked to walk around a simulated (模拟的) street, complete with obstacles such as a step. The participants traveled the course a total of 12 times each, either writing or reading a message, making a call, or with no phone at all.

    It took the volunteers 118 percent longer to complete the course when using a phone. They also focused on the step obstacle 60 percent more and paid attention to the travel path 51 percent more when they weren't using a phone.

    Although there were no accidents, Timmis believes we should still be aware of what's going on around us.

    “The big risk here is suddenly-appearing hazards (危险), like a pedestrian (行人) suddenly walking in front of you,” he told the Guardian. “You are not going to be able to respond to that as efficiently, which increases the risk of injury.”

    To bring attention to the dangers of “text walking”, a temporary “texting lane” was set up in Antwerp, Belgium in 2015. And earlier this year, a special crosswalk featuring flashing red lights on the ground to get the attention of texters was set up in Wuhan, Hubei province.

    “Texting while walking can lead to collisions with poles or other pedestrians. You could even be endangering your own life when you cross the street without looking up,” a spokesperson for the company that made the Antwerp texting lane told Yahoo News.

    Where can you find a nice place to relax on holiday for both you and your children? Well, I suggest you try the beautiful and green Isle of Wight (IOW). The Isle of Wight is one of the main tourist attractions. Here is some information on a few of the attractions on the IOW.

Dinosaur Isle

    It is located in Sandown, a seaside town on the southeast coast. It's a large, lovely museum, both fun and educational. Here you can see a large fossil collection of all kinds of dinosaurs, as well as a gift shop. You can walk into the past and then the future, learning about the history and the development of the civilization of dinosaurs that lived 120 million years ago.

Robin Hill Country Park

    The park is in the beautiful countryside, and is suitable for children's parties and games. It has five new gardens, and offers great opportunities to see and take pictures of the rare red squirrels.

The West of the Wight

    Here we have the Marine Aquarium, the Archaeology Exhibition and the Model Railway. They offer another opportunity to combine fun with learning. This is a great place to see ancient boats crossing the narrow strait between the island and the mainland.

The Wight Bus Museum

    This museum is run completely by unpaid volunteers. It has a bus collection stored in what was once a warehouse（仓库）. Most of the buses in the museum date back to around the 1910's.

    With all of these choices, what are you waiting for? IOW Tourism welcomes you!

    AlphaGo is a computer program that plays the board game Go.

    In March, 2016, the pride of humankind was crushed (粉碎) by a computer. Google's AlphaGo defeated the South Korean grandmaster (围棋大师) Lee Sedol four games to one, as the world looked on with shock and awe (敬畏). Artificial intelligence (AI, 人工智能) had suddenly reached a new and unexpected height.

    But as smart as AlphaGo is, it's no longer the best Go “player” in the world. Google's artificial intelligence group, DeepMind, has created the next generation of its Go-playing program, called AlphaGo Zero. The new AI program is unique in the way it learned to play Go. Instead of learning from thousands of human matches, as its predecessor (前任) did, AlphaGo Zero mastered Go in just two days without any human knowledge of the game and defeated AlphaGo by day three, reported The Guardian. It then went on to defeat AlphaGo 100 games to zero.

    To learn how to play Go, AlphaGo Zero played millions of matches against itself using only the basic rules of the game to rapidly create its own knowledge of it. Like the previous version, it used “reinforcement (增强) learning to become its own teacher,” according to DeepMind's website.

    “It's more powerful than previous approaches,” David Silver, AlphaGo's lead researcher, told The Guardian, “because by not using human data, or human expertise in any fashion, we've removed the constraints (约束) of human knowledge and it is able to create knowledge itself.”

    AlphaGo Zero's approach to self-learning is a significant advancement in AI that could be applied to help solve some of the world's biggest problems, according to a recent research report published in the journal Nature. For example, DeepMind co-founder Demis Hassabis argues that AlphaGo Zero could probably find cures for a number of serious diseases within weeks, according to The Telegraph. Indeed, the AI is now being used to study protein folding, which is connected to diseases such as Parkinson's and Alzheimer's.

    So now that AI has exceeded (超过) the bounds of human knowledge, perhaps the question is not about what AI can learn from humans, but what humans can learn from AI. We can only wait and see.

    AlphaGo is a computer program that plays the board game Go.

    In March, 2016, the pride of humankind was crushed (粉碎) by a computer. Google's AlphaGo defeated the South Korean grandmaster (围棋大师) Lee Sedol four games to one, as the world looked on with shock and awe (敬畏). Artificial intelligence (AI, 人工智能) had suddenly reached a new and unexpected height.

    But as smart as AlphaGo is, it's no longer the best Go “player” in the world. Google's artificial intelligence group, DeepMind, has created the next generation of its Go-playing program, called AlphaGo Zero. The new AI program is unique in the way it learned to play Go. Instead of learning from thousands of human matches, as its predecessor (前任) did, AlphaGo Zero mastered Go in just two days without any human knowledge of the game and defeated AlphaGo by day three, reported The Guardian. It then went on to defeat AlphaGo 100 games to zero.

    To learn how to play Go, AlphaGo Zero played millions of matches against itself using only the basic rules of the game to rapidly create its own knowledge of it. Like the previous version, it used “reinforcement (增强) learning to become its own teacher,” according to DeepMind's website.

    “It's more powerful than previous approaches,” David Silver, AlphaGo's lead researcher, told The Guardian, “because by not using human data, or human expertise in any fashion, we've removed the constraints (约束) of human knowledge and it is able to create knowledge itself.”

    AlphaGo Zero's approach to self-learning is a significant advancement in AI that could be applied to help solve some of the world's biggest problems, according to a recent research report published in the journal Nature. For example, DeepMind co-founder Demis Hassabis argues that AlphaGo Zero could probably find cures for a number of serious diseases within weeks, according to The Telegraph. Indeed, the AI is now being used to study protein folding, which is connected to diseases such as Parkinson's and Alzheimer's.

    So now that AI has exceeded (超过) the bounds of human knowledge, perhaps the question is not about what AI can learn from humans, but what humans can learn from AI. We can only wait and see.

    AlphaGo is a computer program that plays the board game Go.

    In March, 2016, the pride of humankind was crushed (粉碎) by a computer. Google's AlphaGo defeated the South Korean grandmaster (围棋大师) Lee Sedol four games to one, as the world looked on with shock and awe (敬畏). Artificial intelligence (AI, 人工智能) had suddenly reached a new and unexpected height.

    But as smart as AlphaGo is, it's no longer the best Go “player” in the world. Google's artificial intelligence group, DeepMind, has created the next generation of its Go-playing program, called AlphaGo Zero. The new AI program is unique in the way it learned to play Go. Instead of learning from thousands of human matches, as its predecessor (前任) did, AlphaGo Zero mastered Go in just two days without any human knowledge of the game and defeated AlphaGo by day three, reported The Guardian. It then went on to defeat AlphaGo 100 games to zero.

    To learn how to play Go, AlphaGo Zero played millions of matches against itself using only the basic rules of the game to rapidly create its own knowledge of it. Like the previous version, it used “reinforcement (增强) learning to become its own teacher,” according to DeepMind's website.

    “It's more powerful than previous approaches,” David Silver, AlphaGo's lead researcher, told The Guardian, “because by not using human data, or human expertise in any fashion, we've removed the constraints (约束) of human knowledge and it is able to create knowledge itself.”

    AlphaGo Zero's approach to self-learning is a significant advancement in AI that could be applied to help solve some of the world's biggest problems, according to a recent research report published in the journal Nature. For example, DeepMind co-founder Demis Hassabis argues that AlphaGo Zero could probably find cures for a number of serious diseases within weeks, according to The Telegraph. Indeed, the AI is now being used to study protein folding, which is connected to diseases such as Parkinson's and Alzheimer's.

    So now that AI has exceeded (超过) the bounds of human knowledge, perhaps the question is not about what AI can learn from humans, but what humans can learn from AI. We can only wait and see.

    The art of paper-cutting in China may date back to the second century, since paper{#blank#}1{#/blank#}(invent)by Cai Lun in the Eastern Han Dynasty in China. As paper became more affordable, paper0cutting became one of the most important{#blank#}2{#/blank#}(type) of Chinese folk art. Later,{#blank#}3{#/blank#} different regions adopting their own cultural styles, this art form spread to other parts of the world.{#blank#}4{#/blank#} (usual), the artworks are made of red paper, as red is associated with{#blank#}5{#/blank#}(happy) in Chinese culture, but other colors are also used.

    With{#blank#}6{#/blank#}(it) long history, paper-cutting,{#blank#}7{#/blank#}originated in China, has been very popular among the ordinary Chinese people. People put up papercuts on walls, windows and doors at wedding ceremonies or festivals {#blank#}8{#/blank#}(strengthen) the cheerful atmosphere.

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