RECENT TECHNICAL BREAKTHROUGHS ENABLE SMART MANUFACTURING: A REVIEW

Abstract

In human culture, machine learning has long been used to address complicated issues. Machine learning is successful because of the help provided by computational power and sensing technology. Data-driven strategies and the development of arti fi cial intelligence will soon have a signi fi cant impact on the industry. Common examples include search engines, picture recognition, biometrics, speech and handwriting recognition, natural language processing, as well as medical diagnostics and credit scores. It is obvious that when arti fi cial intelligence permeates our globe and, more precisely, our lives, numerous challenges will become public. According to predictions, Industry 4.0 or Smart Manufacturing will be the next Industrial Revolution. It all has to do with technology connectivity and improvements in the contextualization of data, as with many other advancements in recent years. Smart, however, cannot be realised without either the support of intelligent systems or the support of data science technologies.