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Artificial Intelligence Implications in Engineering and Production
1  Southern Taiwan University of Science and Technology, Tainan City, Taiwan
2  Department of Electrical Engineering
Academic Editor: Nunzio Cennamo


Humans have undergone a technology innovation in daily personal lives as a result of the invention of the computer but, afterward, the web, as well as we carry on living in a technologically advanced world. Artificial intelligence (AI) is a term that we always keep hearing among computer scientists because we're all aware that it is a fast-expanding discipline in a multitude of areas. Numerous problems, including dynamic, unpredictable behaviors, and intricacy, are present in the architecture of research and production tools and procedures. Several research and engineering experts' working methods have recently changed as a result of the development of larger datasets, fast processing speed, cloud technology, and artificial intelligence procedures. For researchers and producers, such techniques provide exhilarating, cutting-edge solutions to difficult problems. In contrast, artificial intelligence (AI) is a broad field. The availability of a wide range of concepts, strategies, and techniques makes it difficult to select the best AI approach for the correct technical or production industry and settings. Our examination of the works on numerous Automatic industrial claims and production through using suggested classification provided valuable understanding. Additionally, we identified plans for potential AI application investigation in the fields of engineering besides production.

Keywords: Machine learning, Computational intelligence, Technological method, Production procedure
Comments on this paper
Samy Anwar
Good work. Congratulations
Seemant Tiwari
Thank you very much for comment