scholarly journals Technology analysis of artificial intelligence using Bayesian inference for neural networks

2018 ◽  
Vol 7 (2.3) ◽  
pp. 43
Author(s):  
Sunghae Jun

At present, artificial intelligence (AI) technology is receiving much attention and applied in each field of society. AI is one of the key technologies to lead the fourth industrial revolution along with the internet of things and big data. Therefore, many companies and research institutes are trying to systematically analyze AI technology in order to understand the AI itself correctly. In this paper, we also study on a method to analyze AI technology based on quantitative approach. We correct the patent documents related to AI technology, and analyze them using statistical modelling. We use Bayesian inference for neural networks to build our proposed method. To verify the validity of our research, we carry out a case study using the AI patent documents.

2020 ◽  
Vol 29 (4) ◽  
pp. 1067-1073
Author(s):  
Jan Fagerberg ◽  
Bart Verspagen

Abstract According to Christopher Freeman technological revolutions play a key role in capitalist development. In this article, we ask to what extent more recent developments are consistent with the perspective advanced by Freeman. We focus on two issues in particular, the climate challenge and what has been dubbed “A Fourth Industrial Revolution” that is, advances in artificial intelligence and the proliferation of the internet of things.


2019 ◽  
Vol 75 (4) ◽  
Author(s):  
André Ungerer

The Fourth Industrial Revolution is a phrase that is frequently heard in the media. This study explores the major changes that this revolution has installed for us. The Fourth Industrial Revolution is an umbrella term for many aspects, and the study takes note of the concepts like the Internet of Things, artificial intelligence, artificial general intelligence, artificial superintelligence, transhumanism and Homo digitalis. The spin-off effect of this revolution may cause possible disruptive effects on Homo sapiens by creating greater numbers of Homo disruptus. The term Homo disruptus is not a frequently used term, although it can be used in conjunction with the disruption that will be part of our future. Disruption may occur because of emerging technology, robotics, unemployment, digital dictatorships and exploitation, the side effects of Homo digitalis and transhumanism. The church will be part and parcel of this world, although the church does not have to be a victim and can play a significant role in anchoring Homo disruptus with the timeless message of the gospel and finding innovative ways to deal with their disruptive world.


2020 ◽  
Vol 10 (2) ◽  
pp. 570 ◽  
Author(s):  
Daiho Uhm ◽  
Jea-Bok Ryu ◽  
Sunghae Jun

Technology analysis is one of the important tasks in technology and industrial management. Much information about technology is contained in the patent documents. So, patent data analysis is required for technology analysis. The existing patent analyses relied on the quantitative analysis of the collected patent documents. However, in the technology analysis, expert prior knowledge should also be considered. In this paper, we study the patent analysis method using Bayesian inference which considers prior experience of experts and likelihood function of patent data at the same time. For keyword data analysis, we use Bayesian predictive interval estimation with count data distributions such as Poisson. Using the proposed models, we forecast the future trends of technological keywords of artificial intelligence (AI) in order to know the future technology of AI. We perform a case study to provide how the proposed method can be applied to real areas. In this paper, we retrieve the patent documents related to AI technology, and analyze them to find the technological trend of AI. From the results of AI technology case study, we can find which technological keywords are more important or critical in the entire structure of AI industry. The existing methods for patent keyword analysis were depended on the collected patent documents at present. But, in technology analysis, the prior knowledge by domain experts is as important as the collected patent documents. So, we propose a method based on Bayesian inference for technology analysis using the patent documents. Our method considers the patent data analysis with the prior knowledge from domain experts.


2019 ◽  
Vol 2 (1) ◽  
pp. 67-79 ◽  
Author(s):  
Umar Al Faruqi

With the rapid development of technology in the digitalization era, Industry 4.0 became a terminology that became a reference for research and development in the field of technology in various sectors. This continues to trigger all people to develop technology to enable better utilization in facilitating human life. Society 5.0 is an idea that explains the revolution in people's lives with the development of the fourth industrial revolution. The concept that wants to be presented is how there is a revolution in society that both utilizing technology and also considering humanities aspects. Some sectors of work and needs are beginning to enter digitalization that utilizes Artificial Intelligence, Big Data, Robotics, Automation, Machine Learning, and the Internet of Things.


Author(s):  
Mahmut Sami Ozturk

The purpose of this chapter is to investigate the role of audit activities and auditors in Industry 4.0. The preferred methodological approach in the study is a general analysis of auditing in Industry 4.0 in the form of a literature review. According to the purpose of the study, the effect and role of auditing big data, the internet of things, the cloud, artificial intelligence, and other components in Industry 4.0 are investigated. Furthermore, auditing activities that can be implemented in Industry 4.0 are presented as suggestions in the study. The study explains the role of auditing as a whole in Industry 4.0 as a consequence of examining audit activities for each component in Industry 4.0.


Author(s):  
Mahmut Sami Ozturk

The purpose of this chapter is to investigate the role of audit activities and auditors in Industry 4.0. The preferred methodological approach in the study is a general analysis of auditing in Industry 4.0 in the form of a literature review. According to the purpose of the study, the effect and role of auditing big data, the internet of things, the cloud, artificial intelligence, and other components in Industry 4.0 are investigated. Furthermore, auditing activities that can be implemented in Industry 4.0 are presented as suggestions in the study. The study explains the role of auditing as a whole in Industry 4.0 as a consequence of examining audit activities for each component in Industry 4.0.


Author(s):  
Aghnia Nadhira Aliya Putri ◽  
N. Nurlaela Arief ◽  
Aurik Gustomo

In the Era of Industry 4.0, technology has a significant impact on how people live and work. The pharmaceutical sector is likely to face an "innovator dilemma" when dealing with the Fourth Industrial Revolution. Pharmaceutical employees should prepare to adopt technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Big Data, Robotic, 3-D printing (Baines et al., 2018). Even in the industry based on technology, companies' performance does not rely solely on technological expertise. Technology is not the most significant barrier to adopting the 4.0 Era, but organizational culture and employee readiness are the biggest challenges (Vuong et al., 2019). To survive in Industrial Era 4.0, having sufficient knowledge of technology's changes and speed is essential. Nevertheless, there is no doubt that specific low-skilled jobs will be eliminated (Dirican, 2015). Supposedly, the development of technology does not replace workers but instead increases efficiency in work. Note that the future workforce has a critical role to play in the success of factory innovation. Transformation in era 4.0 requires workforces to have good competence. Keywords: Competency, Sub-Competencies, Pharma 4.0, Delphi Study


Author(s):  
Carlos Hernán Fajardo-Toro ◽  
Andrés Aguilera-Castillo ◽  
Mauricio Guerrero-Cabarcas

Technological advances and novel applications in areas such as industrial robots (eventually personal robotics), artificial intelligence, big data, 3D printing, the internet of things, biotechnology, blockchain, and others have revived the debate on how the development and implementation of technological innovations may displace labor. These technologies are allowing the innovation of products, services, and business models at unprecedented speed, in the same way they are putting at risk both qualified and unqualified jobs and occupations. Most of the specialized literature dealing with the issue of technology and labor comes from the economics discipline, but it is pertinent to discuss how this translates into the managerial, organizational, and strategic principles framed for the fourth industrial revolution.


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Nguyen Duy Dung

Characteristics of the industrial revolution 4.0 is the wide application of high-tech achievements, especially information technology, digitalization, artificial intelligence, network connections for management to create sudden changes in socio-economic development of many countries. Therefore, to reach the high-tech time, many magazines in Vietnam have changed dramatically, striving to reach the international scientific journal system of ISI, Scopus. The publication of international standard scientific journal will meet the demand of publishing research results of local scientists, on the other hand contribute to strengthening exchange, cooperation, international integration in science and technology.


2020 ◽  
Vol 31 (3) ◽  
pp. 347-363
Author(s):  
Peter Waring ◽  
Azad Bali ◽  
Chris Vas

The race to develop and implement autonomous systems and artificial intelligence has challenged the responsiveness of governments in many areas and none more so than in the domain of labour market policy. This article draws upon a large survey of Singaporean employees and managers (N = 332) conducted in 2019 to examine the extent and ways in which artificial intelligence and autonomous technologies have begun impacting workplaces in Singapore. Our conclusions reiterate the need for government intervention to facilitate broad-based participation in the productivity benefits of fourth industrial revolution technologies while also offering re-designed social safety nets and employment protections. JEL Codes: J88, K31, O38, M53


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