支持人工智能的物联网平台和标准技术的最新趋势

Jieun Lee, Ahmed Abid, F. Gall, Jaeseung Song
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引用次数: 0

摘要

人工智能(AI)、物联网(IoT)、云计算被认为是引领第四次产业革命的具有颠覆性革新的各种尖端技术的核心技术。利用这三种技术的服务,如智慧城市、自动驾驶汽车、无人机和智能工厂,有一个共同点,那就是它们都是与数据相关的服务。也就是说,数据是未来技术的核心。然而,由于缺乏在各种领域收集的数据的标准,在开发有效的服务和技术方面仍然存在挑战。因此,在本研究中,我们研究了支持人工智能服务和oneM2M领导的技术的数据管理国际标准发展的最新趋势,oneM2M是开发物联网和云平台国际标准的全球倡议。更具体地说,这些趋势包括开发支持人工智能技术的通用功能、支持数据许可管理的标准技术、支持数据符合隐私保护法规的技术,以及支持人工智能/机器学习的元数据管理的语义功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent Trends on Artificial Intelligence-Enabled Internet of Things Platform and Standard Technologies
Artificial intelligence (AI), Internet of Things (IoT), and cloud computing are regarded as the core technologies of a variety of state-of-the-art technologies having disruptive innovation that are intended to lead the 4th Industrial Revolution. A common point shared by the services that utilise the three technologies, such as smart city, autonomous vehicles, unmanned aerial vehicles, and smart factory, is that they are all services related to data. That is, data lie at the heart of future technologies. However, there are still challenges in the development of efficient services and technologies due to the absence of standards for data collected in a variety of domains. Therefore, in this study, we examine the latest trends in the development of international standards for the management of data in support of AI services and technologies led by oneM2M, which is a global initiative for the development of international standards for IoT and cloud platforms. More specifically, the trends include the development of common functions in support of AI technology, standard technologies for the support of data licence management, support for data compliance with privacy protection regulations, and semantic functions for metadata management in support of AI/machine learning.
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