美国论文代写:人工智能

30 3月 美国论文代写:人工智能

美国论文代写:人工智能

人工智能是计算机科学的一个领域,专注于创造像人类一样工作和作出反应的智能机器(ETFdb,2017,第1段)。人工智能交易所交易基金ETFs(AI基金)预计在现代时期是合理的投资。交易所交易基金是一种可作为可交易证券的交易基金,但不像共同基金。它将指数,商品或债券作为指数基金进行跟踪,并像股票交易所中的其他任何交易一样进行交易。事实上,ETF的价格变化通常非常敏感,并且随着人们购买和出售而波动。

美国论文代写:人工智能
Google在人工智能上的历史和发展
Google一直将机器学习和AI用于其现有的应用程序部署。但是,并非所有产品都从AI获益。例如,谷歌搜索引擎从成立以来一直是最成功的搜索引擎之一。从简单的蜘蛛网,搜索引擎继续由自动生成查询响应的算法驱动。但是,这些对查询的自动响应都没有使用人工智能。搜索引擎使用了算法。响应是由算法驱动的。与人工智能相比,算法不是自学。这是一组有规则的规则,它们会一个接一个地重复,并基于这些有限的规则集生成查询结果。 Google工程师将根据结果和性能问题来处理这些规则,并且他们会修改规则以产生更好的结果。但是,这些修改必须由他们完成,并且算法不是为了让他们自学而设计的。现在情况正在发生变化,因为谷歌现在宣布为其人工智能相关项目设立一个独立部门Google AI是Google于2017年宣布的一个部门,将完全致力于人工智能和相关开发。一些现有的项目是基于云的TPU,Tensorflow研究等(Craig&Karl,2016)。
想想看,如何宣布更好地融入AI改变了Google的前景。过去,谷歌搜索引擎是由有限查询驱动的,但现在他们会通过神经网络找到一些AI实现。监督该公司搜索引擎的人Amit Singhal即将退休,该职位被分配给负责监督Google人工智能工作的John Giannandrea(Craig&Karl,2016)。

美国论文代写:人工智能

Artificial Intelligence is an area of computer science that focuses the creation of intelligent machines that work and react like humans” (ETFdb, 2017, para. 1). Exchange traded funds ETFs in artificial intelligence (the AI fund) are expected to be sound investment in modern times. The exchange traded fund is one which acts as a marketable security but is not like mutual funds. It tracks index, commodity or bonds as an index fund and is also traded like a common stock like any other in the stock exchange. In fact, ETFs price change is usually very sensitive and fluctuating throughout the day as people buy and sell it.

美国论文代写:人工智能
History and Development of AI in Google
Google has always made use of machine learning and AI for its existing application rollouts. However, not all of its products benefitted from AI. For instance, the Google search engine has been one of the most successful search engines from the time of its inception. From simple spider craws, the search engine went on to be driven by algorithms that auto generated responses for the query. However, none of these auto responses to queries made use of artificial intelligence. Search engines made use of algorithms. Response was driven by the algorithms. Algorithms, as compared against artificial intelligence, are not self-learning. It is a finite set of rules that would repeat one after other and based on these finite set of rules, query results would be generated. Google engineers would work on these rules based on results and performance issues and they would modify the rules to generate better results. However, the modification had to be done by them, and the algorithms were not designed to make them self-learn. The situation now is changing as Google now announced a separate division for its AI related projects. Google AI was a division of Google announced in 2017 that would be completely dedicated to Artificial Intelligence and related development. Some existing projects are the cloud based TPUs, Tensorflow research, etc (Craig & Karl, 2016).Consider for instance, how the announcement of better incorporation of AI changes Google landscape. In the past, the google search engine was driven by finite queries but now they would find some AI implementation through neural nets. The person overseeing the search engine of the company, Amit Singhal is retiring and the post is assigned to John Giannandrea who also oversees the work in AI of Google (Craig & Karl, 2016).