Review on Artificial Intelligence with Internet of Things - Problems, Challenges and Opportunities

A. Rana, R. Krishna, Sachin Dhwan, Sharad Sharma, Rashmi Gupta
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引用次数: 7

Abstract

the Internet of Things (loT) can possibly fall into the broad pit of trendy expression unclearness. Artificial intelligence frequently cascade into a similar snare, especially with the appearance of new terms, for example, “AI,” “profound learning,” “hereditary calculations,” and then some. The reason for this article is to tissue out the genuine uses of consolidating AI and IoT being utilized in industry today, and to exhibit significant patterns and future use cases for technologists who need get a lay-of-the-place where there are the means by which man-made consciousness may encourage and comprehend the horde associated gadgets in the coming decade. The point of the exhibited paper was to examine the helpfulness of chose man-made consciousness techniques in the idea of the Internet of Things. To research this reason, the model framework was fabricated and it utilizes the counterfeit neural systems for Problems, Challenges, and Opportunities.
物联网人工智能研究综述——问题、挑战与机遇
物联网(loT)可能会陷入时髦表达不清的深渊。人工智能经常陷入类似的陷阱,特别是随着新术语的出现,例如“人工智能”、“深度学习”、“遗传计算”等等。本文的目的是组织当今工业中整合人工智能和物联网的真正用途,并为技术人员展示重要的模式和未来的用例,这些技术人员需要了解未来十年人工意识可能鼓励和理解大量相关设备的方法。展览论文的重点是研究在物联网的概念中选择人工意识技术的帮助。为了研究这一原因,构建了模型框架,并利用伪神经系统来解决问题、挑战和机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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