证券简称：ST零七 证券代码：000007 公告编号：2010-038 深圳市零七股份有限公司第七届董事会
第二十二次会议决议公告
本公司及董事会全体成员保证公告内容的真实、准确和完整，对公告的虚假记载、误导性陈述或者重大遗漏负连带责任。
深圳市零七股份有限公司（以下简称“本公司”）第七届董事会第二十二会议于2010年8月23日上午以通讯方式召开，有关会议情况公告如下:
一、会议通知发出时间和方式
发出时间：2010年8月13日
发出方式：电子邮件和传真
二、会议召开的时间、方式
召开时间：2010年8月23日上午9：30－12：00
召开方式：通讯方式
会议召开时间、方式符合有关法律法规及公司章程的规定。
三、会议出席情况 ：
本次会议应到会董事9人，实际到会 9人，会议由第七届董事会董事长练卫飞先生主持。
四、议案内容及表决情况
会议采用记名表决方式审议通过了如下决议：
（一）2010年半年度报告及其摘要；赞成9票，反对0票，弃权0票。
特此公告！
深圳市零七股份有限公司
董事会
2010年8月24日
Present a written argument or case to an educated reader with no specialist knowledge of the following topic. In 2016, Google’s AlphaGo defeated Lee Sedol, the World Go Champion, 4 to 1 in a five-game match. The machine’s sweeping victories have once again made AI（artificial intelligence）a hot topic. Some people fear that AI will eventually get out of control. To what extent do you agree or disagree with the opinion？Give reasons for your answer and include any relevant examples from your own knowledge or experience. A lphaGo’s great triumph over Lee Sedol once again draw s persons’ attention to artificial intelligence. And some people assert that AI will pose a threat to human existence if human lose control of it. In my opinion, it will be a long time before artificial intelligence has consciousness itself, not to mention defying human. But in the more distant future, we have reasons to believe that AI will have no distinction from human and disobey human’s orders. Artificial intelligence, in essence, is simulation of human ways of thinking. And its development deals with interdisciplinary of computer
人工智能英文版论文 人工智能(AI)系统被认为是神经网络，可以识别图片，翻译，甚至精通古老的游戏。以下是精心整理的人工智能英文版论文的相关资料，希望对你有帮助! 人工智能英文版论文篇一Google's AI Reasons Its Way around the London Underground 谷歌人工智能推导出环绕 伦敦地铁系统的路线 DeepMind‟s latest technique uses external memory to solve tasks that require logic and reasoning;a step toward more humanlike AI 维和推理能力的任务 By Elizabeth Gibney, Nature magazine on October 14, 2016 伊丽莎白.吉布尼2016年10月14日发表于《自然》杂志 深度思维最新技术使用了外部存储来解决需要逻辑思 Artificial-intelligence (AI) systems known as neural networks can recognize images, translate languages and even master the ancient game of Go. But their limited ability to
represent complex relationships between data or variables has prevented them from conquering tasks that require logic and reasoning. 人工智能(AI)系统被认为是神经网络，可以识别图片，翻译，甚至精通古老的游戏。但他们描绘数据或变量之间的复杂关系的能力有限，这妨碍了他们克服需要逻辑思维和推理能力的任务。 In a paper published in Nature on October 12, the Google-owned company DeepMind in London reveals that it has taken a step towards overcoming this hurdle by creating a neural network with an external memory. The combination allows the neural network not only to learn, but to use memory to store and recall facts to make inferences like a conventional algorithm. This in turn enables it to tackle problems such as navigating the London Underground without any prior knowledge and solving logic puzzles. Though solving these problems would not be impressive for an algorithm programmed to do so, the hybrid system manages to accomplish this without any predefined rules. 在10月12日《自然》杂志中发表的一篇论文中，谷歌在伦敦的子公司深度思维展示了他们通过结合外部存储创造了一个神经网络，来进一步克服这些障碍。这种和外部存储的结合不仅允许神经网