Artificial Intelligence as a Dialectic of Science and Technology

Author(s):  
Ephraim Nissan
2021 ◽  
pp. 56-63
Author(s):  
V. I. Matveev

Artificial intelligence is becoming the main direction of the development of science and technology, making progress at a new level. Automation of production, the implementation of operations in hazardous and harmful areas, the implementation of routine actions in the environment are inevitable in the modern world. A person creates an analogue for himself, realizing the possible consequences and limiting them to legislative acts. The article provides positive examples of the implementation of the artificial intelligence project and legislative measures that limit its impact on the social environment.


2022 ◽  
pp. 222-230
Author(s):  
Himani Saini ◽  
Preeti Tarkar

Artificial intelligence is a branch of science and technology that has been used effectively over the decades in various fields, and now it has become an indispensable part of organizational practices as it is one of the leading technologies in the current era, and now there is an emerging trend of applying AI technologies within the businesses. The central necessity of human resource management is also majorly based on technological approaches as it became a potential need for any human resources department to perform its role in the development of the whole organization. Technologies based on AI are and will be the smart system of the future and it's also changing the processes of human resource management by making it more dependent on advanced technologies. Through the chapter, the researcher will get to know the artificial technologies being practiced in HR practices and explore the probable and potential of technicality of AI in HRM and also the challenges associated with AI in HRM and its future possibilities.


2018 ◽  
Vol 176 ◽  
pp. 01043 ◽  
Author(s):  
Jin Wei

With the development of science and technology, artificial intelligence technology has received more and more attention and attention. Under the background of the rapid development of big data and cloud computing, the artificial intelligence industry broke out. There is a huge amount of research on artificial intelligence and the artificial intelligence industry is huge. As far as the artificial intelligence industry in China is concerned, even the start is relatively late, but the industry scale, industrial layout, and technology research are all in a continuous improvement stage. Especially after the deepening of the layout of science and technology and manufacturing industries, the scale of artificial intelligence industry is further developed. More artificial intelligence products will appear at the same time. From the perspective of the concept, development history and new progress of artificial intelligence, this paper combines China’s artificial intelligence market and the development of artificial intelligence companies to analyze the current major application areas, and then further explore the future development trend of artificial intelligence.


2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Yu Zhang

In the development of modern society, Internet technology has been popularized and applied. Artificial intelligence technology is not only found in science fiction movies, but has been widely used in industry, tertiary industry and people’s livelihood. Under the background of rapid advancement of science and technology, computer artificial intelligence technology will play an important role in the future. Due to a series of problems in the development of computer artificial intelligence technology, it is necessary for relevant personnel to strengthen research on the application and development of computer artificial intelligence technology. The paper mainly studies the application and development of computer artificial intelligence technology, and hopes to bring more convenience to the daily life of the people.


Author(s):  
Michael Negnevitsky

Artificial Intelligence (AI) is the key to success in novel applications ranging from robotics to speech- and image-recognition systems, and from stock forecast investment systems to informal communication between robots and humans. The last two decades have seen AIfs focus shift from philosophical arguments to practical applications in both science and technology. AI researchers and educators have simultaneously recognized mutual commonality in their work and have initiated much-needed multidisciplinary approaches to AI. Guest Editor, Michael Negnevitsky, organized the 3rd International Workshop on Artificial Intelligence in Science and Technology (AISAT 2009) in Hobart, Tasmania, Australia last year, bringing together a globally diverse group of scientists and engineers to discuss issues related to practical AI applications in science and technology. The workshop featured presentations from the US, Japan, Malaysia, Spain, Kuwait, and Australia. All papers were peer reviewed by two experts for technical content, contribution, and originality to ensure high presentation quality. Fewer than 30% of submissions were accepted for presentation at the Workshop. Authors of the most outstanding presentations at AISAT 2009 were encouraged to submit manuscripts to this special issue, whose papers present innovative approaches and promising practical applications for AI. Submissions were reviewed for relevance, originality, significance, and presentation based on JACIII review criteria. We are sure that readers will find these papers both interesting and inspiring. We hope also that they will motivate researchers to expand their studies on AI applications in science and technology.


2021 ◽  
Vol 3 (1) ◽  
pp. 9
Author(s):  
Shuxu Cao

<p>With the continuous development of science and technology, although artificial intelligence has become the norm, if artificial intelligence science and technology are applied to mobile communications, it will be a huge technological leap. Some companies use artificial intelligence to analyze their faults and early warnings, so that they can effectively communicate between communications. This kind of contact method mainly relies on the analysis of personnel, and finds out the cause of the fault through network positioning, so as to realize the connection between the networks and the early warning of the communication network. By building system equipment to realize remote operation and control support communication, communication can be effectively realized.</p>


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