To address some of the constraints of symbolic AI, sub-symbolic approaches such as neural networks, fuzzy systems, evolutionary computing, and other computational models began to gain favor, resulting in the emergence of the branch of AI known as computational intelligence. Until the late 1980s, “symbolic AI” was strongly connected with the phrase artificial intelligence. Similarly, as it is present in primates and other remarkable creatures, the definition of intelligence may be expanded to include an interconnected collection of capacities, such as creativity, emotional awareness, and self-consciousness. Despite the reference to “machines” in this description, it is applicable to “any sort of living intellect”. Īrtificial Intelligence (AI) is a term frequently used to refer to the branch of research that aims to equip robots with cognitive abilities such as logic, reasoning, planning, learning, and perception. Scalability, accuracy, efficiency, and long-term sustainability are all attributes these artificially intelligent robots possess. Using an efficient communication system, even its own system may order the required spares. This will allow technicians to find the true source of the problem and provide them with a working spare part. To make repairs on certain devices, remote access may be required. ![]() Coffee machines may even prepare coffee for us while we are asleep, saving our time and effort in the morning. When it comes to air conditioning, we may want to switch on the unit as soon as we get home so that our room is nice and chilly. This kind of artificially intelligent technology, in today’s networked age, would make it possible for us to access information and services from anywhere, even our hands, cell phones, cars, and other home and personal electronics may all be controlled from a distance. Our small and medium enterprises (SMEs) will also be profoundly impacted by this technological breakthrough and the possibility of fusing the virtual and real worlds enabled by these cyber-physical systems. It is now common to engage with robots and artificially intelligent devices in a variety of applications, including 3D printing, educational learning agents, home health examinations, online vehicle sales systems, gaming and entertainment, and maintenance. These technologies would have a significant influence on industrial output, as well as on our daily lives. Ĭyber-physical systems (CPS) integrate computer, networking, and physical processes, utilizing various technologies such as artificial intelligence, robots, big data, and security. Indeed, IR 4.0 is not more than an expansion of information and communication technology, paired with the exponentially grown transmission, computation, and storage capabilities that enable the materialization of incredibly powerful, linked technological systems, dubbed “Cyber-Physical-Systems”. Drastic changes are coming to companies across the board in terms of their effect on value generation, business models, and downstream services. It will be dominated by manufacturing and industrial processes that use cyber-physical systems, cloud computing, big data & artificial intelligence. ![]() The fourth industrial revolution, considered as IR 4.0, is ushering in a new era of industry and technological innovation. This study has suggested several implications for policymakers. The current study proposes an integrated responsible innovation framework that acts as a science governance mechanism and considers organizations and stakeholders collectively responsible for upcoming technological innovations. The responsible innovation framework binds the firm ethically, morally, and socially to be responsible, environmentally friendly, humanitarian, and business-oriented while developing innovative products. ![]() These unanticipated consequences have resulted in the development of an emerging concept, that is, responsible innovation. It is an open secret now that AI machines may have serious impacts on human autonomy, fairness, justice, and agency. Because of this, little is known about the negative repercussions of artificial intelligence (AI), a key component of the Fourth Industrial Revolution (or IR 4.0). However, few academics have delved into the negative or dark side of such a profound technological paradigm change, especially the artificially intelligent robotics, creating a large knowledge vacuum. A number of articles have been carved to emphasize the beneficial aspects of the stated issue under many titles such as cyber-physical systems, internet of things, artificial intelligence, smart manufacturing, digitalization of industrial production, and so on. “Industrial revolution 4.0” is a term that is becoming increasingly popular among academics.
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