scholarly journals Stochastic Artificial Intelligence: Review Article

2020 ◽  
Author(s):  
T.D. Raheni ◽  
P. Thirumoorthi
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Back Propagation ◽  
Review Article ◽  
Human Beings ◽  
Swarm Optimization ◽  
Intelligent Machines ◽  
Neuron Networks ◽  
Current Scenario ◽  
Human Effort

Artificial intelligence (AI) is a region of computer techniques that deals with the design of intelligent machines that respond like humans. It has the skill to operate as a machine and simulate various human intelligent algorithms according to the user’s choice. It has the ability to solve problems, act like humans, and perceive information. In the current scenario, intelligent techniques minimize human effort especially in industrial fields. Human beings create machines through these intelligent techniques and perform various processes in different fields. Artificial intelligence deals with real-time insights where decisions are made by connecting the data to various resources. To solve real-time problems, powerful machine learning-based techniques such as artificial intelligence, neural networks, fuzzy logic, genetic algorithms, and particle swarm optimization have been used in recent years. This chapter explains artificial neural network-based adaptive linear neuron networks, back-propagation networks, and radial basis networks.

scholarly journals Research on How Human Intelligence, Consciousness, and Cognitive Computing Affect the Development of Artificial Intelligence

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yanyan Dong ◽  
Jie Hou ◽  
Ning Zhang ◽  
Maocong Zhang
Keyword(s):  
Artificial Intelligence ◽  
Human Brain ◽  
Tacit Knowledge ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Human Intelligence ◽  
Cognitive Computing ◽  
Human Beings ◽  
Intelligent Machines ◽  
Value Rationality

Artificial intelligence (AI) is essentially the simulation of human intelligence. Today’s AI can only simulate, replace, extend, or expand part of human intelligence. In the future, the research and development of cutting-edge technologies such as brain-computer interface (BCI) together with the development of the human brain will eventually usher in a strong AI era, when AI can simulate and replace human’s imagination, emotion, intuition, potential, tacit knowledge, and other kinds of personalized intelligence. Breakthroughs in algorithms represented by cognitive computing promote the continuous penetration of AI into fields such as education, commerce, and medical treatment to build up AI service space. As to human concern, namely, who controls whom between humankind and intelligent machines, the answer is that AI can only become a service provider for human beings, demonstrating the value rationality of following ethics.

scholarly journals THE TRANSFORMATION OF "ARTIFICIAL" SCIENCE INTO ARTIFICIAL INTELLIGENCE: 50 YEARS LATER

2020 ◽  
Vol 19 (3) ◽  
pp. 340-343
Author(s):  
Boris Aberšek
Keyword(s):  
Artificial Intelligence ◽  
Service Operations ◽  
Educational Process ◽  
Human Beings ◽  
Intelligent Machines ◽  
Stephen Hawking ◽  
Drastic Effect ◽  
Smart Machines ◽  
Risky Business

For years, experts have warned against the unanticipated effects of general artificial intelligence (AI) on society. Ray Kurzweil (1998, 2005) predicts that by 2029 intelligent machines will be able to outsmart human beings. Stephen Hawking argues that “once humans develop full AI; it will take off on its own and redesign itself at an ever-increasing rate”. Elon Musk warns that AI may constitute a “fundamental risk to the existence of human civilization”. If the problems of incorporating AI in manufacture and service operations, i.e. using smart machines, are smaller, as the ‘faults’ can be recognized relatively quickly and they do not have a drastic effect on society, then the incorporation of AI in society and especially in the educational process is an extremely risky business that requires a thorough consideration. The consequences of mistakes in this endeavour could be catastrophic and long-term, as the results can be seen only after many years.

scholarly journals The Scenes of Future Peacekeeping Operations in the Era of Artificial Intelligence

2020 ◽  
Vol 148 (1) ◽  
pp. 79-85
Author(s):  
Ye Yudan
Keyword(s):  
Artificial Intelligence ◽  
Past History ◽  
Information Age ◽  
Human Beings ◽  
New Era ◽  
Intelligent Machines ◽  
Peacekeeping Operations ◽  
The Past ◽  
Original Intention ◽  
History Of

UN led peacekeeping operations began in 1948. Since then, peacekeeping operations have gradually entered an information age that is constantly influenced and defined by computers, the Internet, etc. The invention of computer, whether or not its original intention is limited to the purpose of assisting human beings in numerical calculation, will eventually lead to the generation of intelligent machines that can ex-tend and enhance the abilities of human beings to transform nature and govern so-ciety. When artificial intelligence is widely used and has shaped the society into a hu-man-computer symbiotic society, peacekeeping operations must take the initiative to face the new era environment which is different from the past history of human beings, and make efforts to solve the complex problems they are facing.

scholarly journals Data Processing and Artificial Neural Network in the Background of Big Data

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Yang You
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Artificial Neural Network ◽  
Big Data ◽  
Back Propagation ◽  
Human Beings ◽  
Back Propagation Algorithm ◽  
Emerging Industries ◽  
Artificial Intelligence Technology ◽  
Artificial Neural

The existing significance of big data technology lies not only in collecting massive information, but also in professional processing and analysis. It transforms information into data and extracts valuable knowledge from data. The advent of the era of big data has brought us a new development model, but also produced many emerging industries, such as cloud computing, artificial intelligence and so on. Based on this, this paper studies the artificial neural network and back propagation algorithm in this context, so that computer technology can better serve human beings, which is of great significance to promote the further development of artificial intelligence technology.

scholarly journals The Recent Development of Artificial Intelligence for Smart and Sustainable Energy Systems and Applications

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3108 ◽  
Author(s):  
Miltiadis D. Lytras ◽  
Kwok Tai Chui
Keyword(s):  
Artificial Intelligence ◽  
Fossil Fuels ◽  
Sustainable Energy ◽  
Energy Systems ◽  
Green Energy ◽  
Review Article ◽  
Human Beings ◽  
Special Issue ◽  
Recent Developments ◽  
Sustainable Energy Systems

Human beings share the same community in which the usage of energy by fossil fuels leads to deterioration in the environment, typically global warming. When the temperature rises to the critical point and triggers the continual melting of permafrost, it can wreak havoc on the life of animals and humans. Solutions could include optimizing existing devices, systems, and platforms, as well as utilizing green energy as a replacement of non-renewable energy. In this special issue “Artificial Intelligence for Smart and Sustainable Energy Systems and Applications”, eleven (11) papers, including one review article, have been published as examples of recent developments. Guest editors also highlight other hot topics beyond the coverage of the published articles.

Intelligent Construction Machinery Fault Diagnosis Based on Multiple Intelligent Machines

2013 ◽  
Vol 340 ◽  
pp. 484-488
Author(s):  
Ren Sheng Wei
Keyword(s):  
Artificial Intelligence ◽  
Data Acquisition ◽  
Real Time ◽  
Rapid Development ◽  
Processing System ◽  
Construction Machinery ◽  
Intelligence System ◽  
Intelligent Machines ◽  
Digital Monitoring ◽  
Time Diagnosis

With the rapid development of science technology, to realize digital monitoring in the complex working conditions, the use of artificial intelligence machine to quickly achieve control operations. However, in the artificial intelligence system process, there may be a programmable datas inaccuracy and non real time, thereby to bring the certain error of control system that affects people's judgment. In programming data acquisition processing system, to introduce CBR diagnosis technique application, existing programming data acquisition processing system carries on fault coupling analysis. Through the data programming module transform for real-time diagnosis module, using artificial intelligence carries on automatic diagnosis for programming data, thus effectively solving the deviation in programming data acquisition process.

Smart teaching mode based on particle swarm image recognition and human-computer interaction deep learning

2020 ◽  
Vol 39 (4) ◽  
pp. 5699-5711
Author(s):  
Shirong Long ◽  
Xuekong Zhao
Keyword(s):  
Feature Extraction ◽  
Particle Swarm Optimization ◽  
Deep Learning ◽  
Real Time ◽  
Image Recognition ◽  
Particle Swarm ◽  
Learning Technology ◽  
Search Performance ◽  
Swarm Optimization ◽  
Teaching Mode

The smart teaching mode overcomes the shortcomings of traditional teaching online and offline, but there are certain deficiencies in the real-time feature extraction of teachers and students. In view of this, this study uses the particle swarm image recognition and deep learning technology to process the intelligent classroom video teaching image and extracts the classroom task features in real time and sends them to the teacher. In order to overcome the shortcomings of the premature convergence of the standard particle swarm optimization algorithm, an improved strategy for multiple particle swarm optimization algorithms is proposed. In order to improve the premature problem in the search performance algorithm of PSO algorithm, this paper combines the algorithm with the useful attributes of other algorithms to improve the particle diversity in the algorithm, enhance the global search ability of the particle, and achieve effective feature extraction. The research indicates that the method proposed in this paper has certain practical effects and can provide theoretical reference for subsequent related research.

AI Narratives

2020 ◽  
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Ancient Greece ◽  
Historical Overview ◽  
Intelligent Machines ◽  
Narrative History ◽  
History Of ◽  
Imaginative Thinking ◽  
The Relationship ◽  
Insight Into

This book is the first to examine the history of imaginative thinking about intelligent machines. As real artificial intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed, and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing prehistory of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first centuries in which a greater density of narratives emerged alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI’s social, ethical, and philosophical consequences, including questions of dehumanization, automation, anthropomorphization, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.

Sign in / Sign up

Export Citation Format

Share Document