人工智能在测量系统中的作用

R. Taymanov, K. Sapozhnikova
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引用次数: 0

摘要

人工智能(AI)和人工智能系统的发展为测量开辟了新的视角,因为它能够使用网络处理许多测量信息流,识别其中的图像,预测它们的变化和与其他图像的相关性,在操作过程中自我学习,以及做出决策。在不同制造商生产的人工智能提供的测量系统中,实现这些功能的能力水平可能不同。如果制造商和用户没有充分考虑特定系统的具体情况,人工智能做出的决定可能会导致危险的后果。标准化委员会审议了数十个与各种应用的人工智能系统相关的标准草案,其工作经验为分析此类测量系统的发展趋势和提出旨在提高其效率的建议提供了依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of Artificial Intelligence in Measuring Systems
The development of artificial intelligence (AI) and AI systems has opened up new perspectives for measurements due to the ability to process a number of measurement information streams using networks, recognize images in them, predict their changes and correlations with others, self-learn during operation, as well as make decisions. The level of capabilities to implement these functions in AI-provided measuring systems produced by different manufacturers can be different. Decisions made by the AI, if a manufacturer and user do not sufficiently consider the specifics of a particular system, can result in dangerous consequences. The experience of working in a Committee on Standardization that considers dozens of standard drafts related to AI systems for various applications has given grounds for presenting an analysis of trends in the development of such measuring systems and substantiating recommendations aimed at improving their efficiency.
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