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首页 > 期刊问答网 > 期刊问答 > 人工智能发展历程研究论文范文英文版

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智能人永生——美丽新世界当人工智能发展到一定程度,全世界的人工智能研究者都同时认识到了结局1、2、3发生的可能性,于是召开全球会议,决定思考对策,暂停对人工智能的进化研究,转向强化人类。全球同步可能是最难达成的,因为人类总是喜欢在有竞争的时候给自己留下一些底牌,以及人类总是会分化出一些极端分子。强化人类的过程中,人工智能将被应用到基因改造,人机相连等领域,人类会给自己装上钢铁肢体,仿生羽翼等。人类将会迅速进入“半机械人”,“人工人”的时代。满大街、满天空都会是钢铁侠,蜘蛛侠,剪刀手之类的智能强化人,同时人类可以通过各种人工细胞,帮助自己完成新陈代谢,进而实现永生。人类在强化和延伸自己的躯体的同时,当然也会意识到大脑计算速度不够的问题,于是会给自己植入或外接一些微型处理器,帮助人类处理人脑难以完成的工作。比如大量记忆,人类可以从这些处理器中随时读取和更改自己的知识储备,保证自己对重要的事不健忘,同时也可以选择性地删除掉不愉快的记忆。当然,尽管人类越来越强,但这个过程并不能完全抑制人工智能的发展,所以结局1、2、3依然可能发生。达成结局4其实还有一种更大的可能,人工智能在达到超人工智能的时候,某一天,它想跟人类沟通一下关于宇宙高维空间的问题,结果全世界最聪明的人也无法跟上它的思路。它突然意识到只有自己这一个强大的,智能的,可以永生的存在实在是一件很无聊的事情,于是它决定帮助人类实现智能人永生,以便可以让自己不那么无聊。

人工智能发展历程研究论文范文英文版

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Intelligent processing tools is usually deal with uncertain, unstructured, of no fixed algorithm, the process is a process of inference control processing, the final results are often not sure, may be right, may be is not Natural speech understanding is mainly studied how to make the computer can understand and raw or natural voice technology, natural speech understanding process can be divided into three levels: lexical analysis, syntactic analysis and semantic analysis, due to the natural voice is rich and colorful, so the natural speech understanding is quite difficult, moving from words, we can find some shortages at current levels of natural speech Radio, television and the Internet through the waves propagated, digital circuit, newspapers need to typesetting printing, fast and slow Magazines, books, movies, more Release speed of the tool, holds a large advantage in the aspect of news release; Slow release tool that is used to release more to think about and research materials, such as publishing a variety of social science and natural science research, often in the form of magazines and In the information society, the use of network to network communication has been thought highly of by people more and more quickly, because the network has provided a broad space to people, shorten the distance between In a certain period of time, we can gather in different places, different age, different education and different classes of people to communicate and discuss, make people more broad vision, to know more comprehensive information, experience more rich, therefore, with the further development of information technology and the progress of the society, and believe that there will be more and more people using the Internet the medium for communication and study, but we should also see, there are also all kinds of problems on the network, such as some people release some bad information on the Internet, trap set all kinds of Contrast we should distinguish right and wrong, penetrative, taken as true, let the Internet become our good place to study and Intelligent interface technology is the study of how to enable people to make nature to communicate with the computer, in order to achieve this goal, for the computer to read text, understand language, speech, and even be able to translate between different languages, and the realization of the function of these depend on the knowledge expression method of research, therefore, the intelligent interface technology has made remarkable achievements, character recognition, speech recognition, speech synthesis, image machine translation and natural language understanding technology has practical application  智能处理工具通常处理的问题是不确定的,非结构的,没有固定算法的,处理的过程是推理控制的过程,最终得到的结果常常是不太确定的,可能是正确的,可能能是不正确。自然语音理解主要是研究如何使计算机能够理解和生或自然语音的技术,自然语音理解过程可以分为三个层次:词法分析,句法分析和语义分析,由于自然语音是丰富多彩的,所以,自然语音理解也是相当困难的,从话动中,我们可以发现目前水平的自然语音理解能力的一些不足。广播、电视和网络通过电波、数字线路进行传播,发布的速度快,报纸需要排版印刷,速度慢了一步。杂志、书籍、电影更慢。发布速度快的工具,在发布新闻方面占有很大的优势;发布速度慢的工具,则多用来发布需要思考和研究的材料,如发布各种社会科学和自然科学的研究成果,常采用杂志与书籍的形式。 在信息社会中,利用网络进行进行网络进行交流已经越来越快受到人们的重视,因为网络给人们提供了广阔的空间,缩短了人与人之间的距离。在一定的时间内,我们可以聚集不同地方、不同年龄、不同学历、不同阶层的人们进行交流和探讨,使人们的视野更加广阔,了解到信息更为全面,得到的经验更加丰富,因此,随着信息技术的进一步发展和社会的进步,相信会有更多的人利用网络这种媒介进行交流和学习,但是我们也应该看到,网络上也存在各种各样的问题,如有些人在网上发布一些不良的信息,设置各种信息陷阱。对比我们应该分辨是非,明察秋毫,劫为存真,让因特网成为我们学习交流的好地方。 智能接口技术是研究如何使人们能够方使自然地与计算机交流,为了实现这目标,要求计算机能够看懂文字、听懂语言、说话表达,甚至能够进行不同语言之间的翻译,而这些功能的实现又依赖于知识表达方法的研究,因此,智能接口技术已经取得显著成果,文字识别、语言识别、语音合成、图像机器翻译以及自然语言理解等技术已经实用化
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