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In the 21st century, as part of the fourth industrial revolution, artificial intelligence (AI), is one of the most important and well-known technology. AI also has made it possible to execute human tasks without the need for humans. However, there is one important concern with consciousness. This is because consciousness is one of the most defining qualities between AI and humans. So, this study presents a literature review and bibliometric analysis of artificial and mind consciousness research around the world from 2000 to 2022 in order to provide researchers and scholars around the world with an overview of the results and trends in artificial and mind consciousness research. A textual query on two databases; Scopus (289 papers), and Web of Science (303 papers) using the term "artificial consciousness" OR "mind consciousness" was performed on 10 June 2022 retrieving 509 scholarly papers from 2000 to 2022 related to artificial and mind consciousness studies for in-depth analysis. Bibliometric analysis were performed using Rstudio software version 4.2.0 and biblioshiniy for bibliometrix to visualize and analyze trends of artificial and mind consciousness research. This bibliometric analysis was analyzed the annual scientific publication growth, the most productive authors, most frequent word has been using, most famous journal name, and which countries has highest collaboration with other country. According to the findings of the analysis, there is significant inconsistency in global trends in annual scientific production, with the number of publications increasing and decreasing. Among all countries, United States (USA) contributed the most publications in the field of artificial and mind consciousness research. According to the findings has show the most relevant authors is Kelley TM (Scopus), and Patel AD (WoS). Moreover, the most relevant journals articles in artificial and mind consciousness studies is Procedia Computer Science (Scopus), and Journal Of Consciousness Studies (WoS). The implication of this study is can help new researchers in this field by providing information on relevant publications and authors to consult when conducting research on this topic. Furthermore, this research helps other researchers understand current trends in this area of study. As a result, the justification for doing this study is to provide the first bibliometric analysis and to fill research gaps in bibliometric studies of artificial consciousness and the mind by providing information in the form of a literature review, overview, and guidelines. [ABSTRACT FROM AUTHOR]

Industry 4.0, a term invented by Wolfgang Wahlster in Germany, is celebrating its 10th anniversary in 2021. Still, the digitalization of the production environment is one of the hottest topics in the computer science departments at universities and companies. Optimization of production processes or redefinition of the production concepts is meaningful in light of the current industrial and research agendas. Both the mentioned optimization and redefinition are considered in numerous subtopics and technologies. One of the most significant topics in these areas is the newest findings and applications of artificial intelligence (AI)—machine learning (ML) and deep convolutional neural networks (DCNNs). The authors invented a method and device that supports the wiring assembly in the control cabinet production process, namely, the Wire Label Reader (WLR) industrial system. The implementation of this device was a big technical challenge. It required very advanced IT technologies, ML, image recognition, and DCNN as well. This paper focuses on an in-depth description of the underlying methodology of this device, its construction, and foremostly, the assembly industrial processes, through which this device is implemented. It was significant for the authors to validate the usability of the device within mentioned production processes and to express both advantages and challenges connected to such assembly process development. The authors noted that in-depth studies connected to the effects of AI applications in the presented area are sparse. Further, the idea of the WLR device is presented while also including results of DCNN training (with recognition results of 99.7% although challenging conditions), the device implementation in the wire assembly production process, and its users' opinions. The authors have analyzed how the WLR affects assembly process time and energy consumption, and accordingly, the advantages and challenges of the device. Among the most impressive results of the WLR implementation in the assembly process one can be mentioned—the device ensures significant process time reduction regardless of the number of characters printed on a wire. [ABSTRACT FROM AUTHOR]

• The paper provides the first systematic review of socio-cultural AI research. • Seven academic databases, topic modeling and association network support the analysis. • Governing AI, human-robot links and innovation economy are the key research fields. • SCAI topics got outstanding attendance from 2018 with rapidly emerging future trends. • Implications and weak signals support policy making and future studies. The number of studies related to socio-cultural AI (SCAI) is growing dramatically. Therefore, the goal is to perform the first systematic review of the key sources published over the last decade with consequences for social science, humanities, engineering, computer science, and policy research. The novelty of the study is not only the first snapshot of high-ranked articles from seven academic databases but also the revealed and interpreted SCAI research trends with implications for academia and policymaking. Topic modelling is conducted on 607 papers identifying fifteen well-defined fields. Association networks also unfolded trending research areas with smart cities, cultural-creative industries and media. A timeline of the emerging research topics reveals the year of change for SCAI was 2018, mostly with industry 4.0, governing AI, and smart cities. Last but not least, SCAI research for policies is interpreted as a niche for policymaking and academic research funding. The findings summarize the broad coverage of AI technology in society and culture with related research responsibility as underrepresented topics. Implications and weak yet relevant signals are also formulated for academic and policy research. The main contribution of this study is to discover the SCAI research for academic research and policymaking for future perspectives. [ABSTRACT FROM AUTHOR]

The article focuses on South Africa is predicated upon policies are effective or ineffective is not primarily an issue and realities of the Fourth Industrial Revolution have proven to be shaping strategic policies various spheres of national life. Topics include the strategic recommendations of the South African Presidential Panel of the Fourth Industrial Revolution, the revolution is very nature a violent process, and the revolutions are an existential struggle between protagonists of history.