AI and ML in IR4.0: A Short Review of Applications and Challenges

Krishna AL Sannasy Rao, Chong Peng Lean, Ng Poh Kiat, Feng Yuan Kong, M. Reyasudin, Basir Khan, Daniel Ismail, Chen Li
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Abstract

Artificial intelligence and machine learning are essential for the development of IR4.0 due to their ability to analyse vast amounts of data, automate processes, and drive innovation across various sectors. These technologies enable intelligent decision-making, predictive analytics, and automation, leading to increased efficiency, productivity, and competitiveness in the digital age. In IR4.0, AI and ML power smart systems and connected devices, transforming industries. They facilitate the integration of digital, physical, and biological systems, enabling the creation of personalized medicine and medical diagnosis smart manufacturing, self-autonomous driving vehicles, smart cities, and smart home. Hence, this review aims to address the contribution of AI and ML in the development of medical diagnosis, smart manufacturing, smart cars, smart cities, and smart homes as well as to highlight the existing challenges faced by AI and ML in these fields. This review also showcases the relevant prospects of AI and ML applications in the fields mentioned.
IR4.0 中的人工智能和 ML:应用与挑战简评
人工智能和机器学习对 IR4.0 的发展至关重要,因为它们能够分析海量数据、实现流程自动化并推动各行各业的创新。这些技术可实现智能决策、预测分析和自动化,从而在数字时代提高效率、生产力和竞争力。在 IR4.0 中,人工智能和 ML 为智能系统和互联设备提供动力,改变着各行各业。它们促进了数字、物理和生物系统的整合,使个性化医疗和医疗诊断、智能制造、自动驾驶汽车、智能城市和智能家居成为可能。因此,本综述旨在探讨人工智能和 ML 在医疗诊断、智能制造、智能汽车、智能城市和智能家居发展中的贡献,并强调人工智能和 ML 在这些领域面临的现有挑战。本综述还展示了人工智能和 ML 在上述领域的相关应用前景。
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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