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Symbiotic Relationship Between Machine Learning and Industry 4.0: A Review

机译:机器学习与工业 4.0 的共生关系:综述

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Industry 4.0 though launched less than a decade ago, has revolutionized the way technologies are being used. It has found its application in almost every field of manufacturing, cybersecurity, health, banking, and other services. Industry 4.0 is heavily dependent on interconnectivity and data. Machine learning (ML) acts as a foundation for building industry 4.0 applications. In this paper, we have provided a broad view of how ML is necessary to accomplish the benefits of industry 4.0. The paper includes ML usage in companies and the limitations of ML, which need to be mitigated. There are also some instances of the failure of ML algorithms and their repercussions. Though industry 4.0 requires a lot more inputs and capital than normal processes, the long-run benefits outweigh the initial costs. ML is gaining popularity, and extensive research is happening to exploit its potential and develop full smart applications.
机译:4.0行业虽然推出了不到十年前,已经彻底改变了技术被使用。几乎每一个制造领域,网络安全、卫生、银行等服务。互连和数据。4.0作为建筑行业的基础应用程序。广泛的观点如何毫升完成是必要的4.0产业所带来的好处。毫升使用公司和ML的局限性,这需要减轻。失败的ML算法和实例他们的影响。比平时更多的投入和资本流程,长期大于好处初始成本。利用其广泛的研究了潜力和开发完整的智能应用程序。

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