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人工智能议论文素材摘抄

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柱子先森

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机器人写作早已不是什么新鲜事:2015年11月6日,中国国家通讯社新华社正式推出机器人写稿项目:“快笔小新”,目前供职于新华社体育部、经济信息部和中国证券报,可以写体育赛事中英文稿件和财经信息稿件。而人类作者比如我,过去有一段时间,在内容写作上陷入一种疲态:碎片化内容五花八门,可挖掘的点很多,但真正落笔时,总有立意不新,词不达意之类的困顿,甚至偶尔会脑中一片空白这是在大量快速查阅信息,并持续性、话题不断跳跃的码字之后产生的,情景酷似使用今日头条,大量雷同的碎片化信息源源不断的通过机器在“下拉”“刷新”的操作中推送到大脑,经过初步处理之后,提炼出关键信息,关键字(词)十分有限,这直接表现在产品上,就是热词或者是指数。新的资讯出现时,不用过滤,重新经过文字、图片、音视频未来还有可能是AR/VR等形式进行渲染,再次呈现。在获取的信息量足够大时,你会觉得每条新闻都似曾相识。机器人写稿是人工智能在内容分发领域的映射细思恐极,互联网技术发展到今天,你已经摆脱不了今日头条式的信息获取方式,并被它提供的信息流包围。同时,你的反馈(产品形态设计为:点赞、收藏、转发、不感兴趣)被迅速记录,并最终被转化为更精准的信息推送。这就是以算法立足的资讯类APP标榜的“千人千面”,越刷新推送越精准。在这种状态下,大脑被搁置,主动思考、选择、筛选的工作交由机器去做,它们会根据用户数据挖掘你的个人喜好完成信息订制,这种迎合助长了人的惰性。有思维,会制造工具是人类区别于其他动物的关键。

人工智能议论文素材摘抄

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jessiegao23

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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