Recent Advances, Challenges in Applying Artificial Intelligence and Deep Learning in the Manufacturing Industry

Artificial intelligence (AI) and deep learning have emerged as transformative technologies in the manufacturing industry, revolutionizing traditional processes and enhancing operational efficiency. The use, implications, and challenges related to their integration are explored in this study. When evaluating the effects of current developments and the difficulties in implementing artificial intelligence (AI) and deep learning in their business, it is essential to include the viewpoint of workers in industrial facilities. An attempt has been made to summarize these people's views on the combination of deep learning and artificial intelligence. The implementation of AI and deep learning in manufacturing has undoubtedly brought about transformative changes, promising increased efficiency, improved processes, and enhanced productivity. Despite their promising benefits, several challenges hinder the widespread implementation of AI and deep learning in manufacturing.This study is an attempt to explore the application areas, its effectiveness and challenges in implementation of artificial intelligence and deep learning in manufacturing industry.The results of the study demonstrated how deep learning and artificial intelligence are being applied by the manufacturing industry in various areas, such as process design, sector -based control units, platform technology, operation technology, and so on.Workspace planning and production have become more standardized thanks to the use of deep learning and artificial intelligence.