Chester City Library offers a range of Library Special Needs Services to people who don't have access to our library service in the usual way. As long as you live in Chester City, we'll provide a wide range of library services and resources including:

    Large printed and ordinary printed books

    Talking books on tape and CD

    DVDs and music CDs

    Magazines

    Reference and information requests

    Home delivery service

    Let us know what you like to read and we will choose the resources for you. Our staff will deliver the resources to your home for free. We also provide a service where we can choose the resources for you or someone instead of you choose the things from the library. You can also choose the resources you need personally.

    Talking books and captioned videos

    The library can provide talking books for people who are unable to use printed books because of eye diseases. You don't have to miss out on reading any more when you can borrow talking books from the library. If you have limited hearing which prevents you from enjoying movies, we can provide captioned videos for you at no charge.

    Languages besides English

    We can provide books in a range of languages besides English. If possible, we will request these items from the State Library of NSW, Australia.

    How to join?

    Contact the Library Special Needs Coordinator to register or discuss if you are eligible (合适的) for any of the services we provide-Tuesday, Wednesday and Thursday 9am-5pm on 4297 2522 for more information.

    Chinese tech giant Tencent Holdings Ltd, the largest global gaming provider and the operator of QQ, an instant messaging software service, has launched a series of scientific exploration events aimed at encouraging young people to explore the outside world, instead of being continuously absorbed online.

    “QQ has been in the market for 18 years, but it is not aging, and its application has become younger and trendier. We hope that more young Chinese can use the app to connect with different people and views worldwide. We never worry about losing game players. Instead, we hope that players can actually go out to learn more,” said Li Dan, general manager of marketing department of the social network group at Tencent.

    China's gaming market netted (净赚) sales revenues of 218.96 billion yuan ( $33.75 billion) in 2017, jumping 23.1 percent year-on-year. Meanwhile, the number of mobile gain players in China reached 462 million, adding 10 percent over the last year. According to Tencent the number of active users of QQ, who are 21 years old or younger, has been increasing, and they tend to use the app for a longer time.

    Starting May 22 of last year, QQ organized free trips for young people to Galapagos, Namibia, Spain and the Antarctic, but it didn't reveal the specific amount it contributed to those trips. During each trip, it selected three to four participants from those who uploaded videos and made specific travel plans online. The finalists stand out with their clear video statements and their enthusiasm about going on adventures.

    “Tencent's approach appears to be contradictory with its own interests. But, in fact, this is consistent with the company's long-term growth strategy and will promote its business by establishing a good social image,” said Neil Wang, president of consulting firm Frost & Sullivan in China.

    Eve was waiting in the corridor outside her class. She was feeling sick. She had two exams that day and physics was first. She really hated physics. It was her worst subject. Lisa looked back at her, and then looked away quickly. Eve thought she looked guilty. She didn't have a problem with physics. She didn't have a problem with anything... Miss Perfect!

    "Hi, Eve! So what's wrong with you and Lisa?" asked Tina, "I thought you were friends." "Yes, so did I," said Eve. "But she hasn't spoken to me for two weeks now. She promised to help me review for the physics exam too, but then she's ignored all my calls and texts."

    While in the exam, Eve found Lisa was holding her phone on her knee under the table and reading from it. Eve couldn't believe it! Is that how Lisa always got such good grades? She thought about telling the teacher, but she hesitated. The next exam was history. That was Eve's favorite subject but she couldn't concentrate. She didn't know what to do about Lisa. Just then, Mr. Reed, their teacher, walked past. "Mr. Reed…"

    Lisa was called to the teachers' office and there waited Mr. Reed…

    The history test was over. Eve was walking towards the school gate when she heard footsteps behind her. It was Lisa. Eve could see that she had been crying. "Listen," said Lisa. "I'm really sorry I haven't answered your calls, but my dad had a heart attack two weeks ago and he's in hospital. He had a big heart operation today and I was very worried about him. So I was reading texts from my mum, but Mr. Reed caught me. He thought I was cheating. He believes me now, but I have to take the exam again. I'm sorry I didn't tell you what was happening. Will you forgive me?"

    Elephants might be the most well-known and well-loved animal in African wildlife. But conservation (保护) of the African elephant still faces special difficulties. While the elephant population is half of what it was 40 years ago, some areas of Africa have more elephants than populated areas can support. That's why AWF scientists are studying elephant behavior, protecting habitats and finding ways for humans to live peacefully with elephants in Africa.

    Years ago, overhunting and the ivory trade were the biggest threats to elephants' survival. Luckily, ivory bans (禁令), hunting rules and protected areas protect elephants from these dangers today.

    The 21st century brings a different challenge to elephant conservation—land-use. Elephants walk across borders and outside parks and other protected areas. So they often destroy crops, causing conflicts (冲突) between local farmers and these big animals.

    Successful conservation strategies must allow elephants to walk freely in their natural habitats while reducing conflicts between elephants and local people.

    AWF researchers are searching for a way to give both elephants and people the space they need. The AWF is collecting information on elephant habitats and behavior. The information they gather will help to develop the widest possible space for elephants.

    The AWF is helping elephants by protecting their habitats. And they also work with local farmers to improve their life in order to encourage them to protect rather than destroy elephants.

    Let us all raise a glass to AlphaGo and the advance of artificial intelligence. AlphaGo, DeepMind's Go-playing AI, just defeated the best Go-playing human, Lee Sedol. But as we drink to its success, we should also begin trying to understand what it means for the future.

    The number of possible moves in a game of Go is so huge that in order to win against a player like Lee. AlphaGo was designed to adopt a human—like style of gameplay by using a relatively recent development--deep learning. Deep learning uses large data sets," machine learning" algorithms （计算程序） and deep neural networks to teach the AI how to perform a particular set of tasks. Rather than programming complex Go rules and strategies into AlphaGo DeepMind designers taught AlphaGo to play the game by feeding it data based on typical Go moves. Then, AlphaGo played against itself, tirelessly learning from its own mistakes and improving its gameplay over time. The results speak for themselves.

    Deep learning represents a shift in the relationship humans have with their technological creations. It results in AI that displays surprising and unpredictable behaviour. Commenting after his first loss, Lee described being shocked by an unconventional move he claimed no human would ever have made. Demis Hassabis, one of DeepMind's founders, echoed this comment:"We're very pleased that AlphaGo played some quite surprising and beautiful moves."

    Unpredictability and surprises are—or can be—a good thing. They can indicate that a system is working well, perhaps better than the humans that came before it. Such is the case with AlphaGo. However, unpredictability also indicates a loss of human control. That Hassabis is surprised at his creation's behaviour suggests a lack of control in the design. And though some loss of control might be fine in the context of a game such as Go, it raises urgent questions elsewhere.

    How much and what kind of control should we give up to AI machines? How should we design appropriate human control into AI that requires us to give up some of that very control? Is there some AI that we should just not develop if it means any loss of human control? How much of a say should corporations, governments, experts or citizens have in these matters? These important questions, and many others like them, have emerged in response, but remain unanswered. They require human, not human - like, solutions.

    So as we drink to the milestone in AI, let's also drink to the understanding that the time to answer deeply human questions about deep learning and AI is now.

    A traveller was staying in an Egyptian village. One day, she held up her camera to take pictures of the children. Suddenly the young ones began to shout at her. The traveller's face turned red and she apologized to the head for what she was doing, and told him she had forgotten that people in some places believed a person would lose his soul(灵魂) if his picture was taken. She explained to him the operation of a camera for a long time. Several times the head tried to say something, but he couldn't. When she believed that the head didn't fear any longer, the traveller then let him speak. With a smile, he said, "The children were trying to tell you that you forgot to take off the lens(镜头) cap!"