[email protected]

智能控制与自动化

Intelligent Control and Automation

您当前位置：首页 > 精选文章

Intelligent Control and Automation. 2025; 1: (1) ; 10.12208/j.ica.20250001 .

Applying artificial intelligence in networks automation—theoretical analysis and future research areas
人工智能在网络自动化中的应用——理论分析与未来研究方向

作者： Raja Marappan *, R. Saraswatikaniga

钦奈韦洛尔理工学院计算机科学与工程学院 印度

*通讯作者： Raja Marappan,单位：钦奈韦洛尔理工学院计算机科学与工程学院 印度；

引用本文: Raja Marappan, R. Saraswatikaniga 人工智能在网络自动化中的应用——理论分析与未来研究方向[J]. 智能控制与自动化, 2025; 1: (1) : 1-5.
Published: 2025/7/9 10:00:59

摘要

近年来，计算机网络自动化和人工智能 (AI) 正在改变商业环境。云计算、进化计算、移动计算、数据分析和机器智能等新兴领域的研发发展日新月异。为了达到更高的效率和更完美的境界，近年来，企业专注于在大多数实际应用中将当今的人工智能与自动化技术结合使用。本研究旨在阐明网络自动化和人工智能与目标受众之间的关系，它们如何协同增强其威力，以及如何为企业提供竞争优势。这些新兴领域可以取代人类劳动力，这最初曾令时代专业人士感到担忧。如今，大量旨在减少其可怕后果的承诺应运而生。本研究分析了未来互联网自动化领域中人工智能和机器学习应用的最新趋势。

关键词： 人工智能；网络自动化；机器学习；人工智能系统；未来互联网

Abstract

Recently, the automation of computer networks and Artificial Intelligence (AI) are already changing the business surroundings. The growth of research and development in the different emerging fields such as cloud computing, evolutionary computing, mobile computing, data analytics, and machine intelligence are transferring hastily. To attain new heights of effectiveness and perfection, recently, companies have been specializing in using present-day synthetic intelligence in conjunction with automation in most real-world applications. This research aims to demonstrate how network automation and AI relate to the target audience, how they could collectively be extra powerful, and how to offer businesses a competitive component. These emerging fields can replace human labor, which has initially worried era professionals. A surge of pledges to lessen their terrible consequences came as a form of correction. The recent AI and machine learning application trends in future internet automation are analyzed in this research.

Key words： Artificial intelligence; Network automation; Machine learning; AI systems; Future internet

参考文献 References

[1] Spyros Tzafestas and Henk Verbruggen. "Artificial intelligence in industrial decision making, control, and automation: an introduction," by Artificial intelligence in industrial automation and decision-making 1-39. Springer, Dordrecht, 1995.

[2] R. Boire. (2017). "Artificial intelligence (AI), automation, and its impact on data science." IEEE International Conference on Big Data (Big Data), Boston, Massachusetts, pp. 3571-3574. doi: s10.1109/BigData.2017.8258349.

[3] Autor, David H. (2015). "Why Are There Still So Many Jobs? The History and Future of Workplace Automation." Journal of Economic Perspectives, 29(3):3-30.

[4] What Exactly Separates Automation from Artificial Intelligence? Accessed August 9, 2018, at becominghuman.ai/what-is-the-real-difference, Becoming Human: Artificial Intelligence Magazine. between-automation-and-ai-366513e0c910.

[5] Ahamed, F., Farid, F., Suleiman, B., Jan, Z., Wahsheh, L.A., Shahrestani, S. (2022). An Intelligent Multimodal Biometric Authentication Model for Personalised Healthcare Services. Future Internet, 2022, 14, 222. https://doi.org/10.3390/fi14080222.

[6] Musa, S.S., Zennaro, M., Libsie, M., Pietrosemoli, E. (2022). Convergence of Information-Centric Networks and Edge Intelligence for IoV: Challenges and Future Directions. Future Internet, 2022, 14, 192. https://doi.org/10.3390/fi14070192.

[7] Rožanec, J., Trajkova, E., Novalija, I., Zajec, P., Kenda, K., Fortuna, B., Mladenić, D. (2022). Enriching Artificial Intelligence Explanations with Knowledge Fragments. Future Internet, 2022, 14, 134. https://doi.org/10.3390/fi14050134.