Prospects Of Artificial Intelligence Research Articles

Development, Application and Prospect of Artificial Intelligence in Biomedical Field

The advancement of artificial intelligence, which has remarkable applications in numerous industries, is a key area of worldwide science and technology development. Among them, the application of artificial intelligence in new drug research and development and auxiliary disease diagnosis has made such outstanding achievements. Therefore, this paper analyzes the development and application of AI in biomedicine and looks forward to its future development. The detailed review included examples of how artificial intelligence has been used in biological medicine, the research and development of new pharmaceuticals, the development of new drugs, and the diagnosis of auxiliary diseases. Finally, this paper summarizes and prospects the future development of biomedicine.

Review of Intelligence for Additive and Subtractive Manufacturing: Current Status and Future Prospects.

Additive manufacturing (AM), an enabler of Industry 4.0, recently opened limitless possibilities in various sectors covering personal, industrial, medical, aviation and even extra-terrestrial applications. Although significant research thrust is prevalent on this topic, a detailed review covering the impact, status, and prospects of artificial intelligence (AI) in the manufacturing sector has been ignored in the literature. Therefore, this review provides comprehensive information on smart mechanisms and systems emphasizing additive, subtractive and/or hybrid manufacturing processes in a collaborative, predictive, decisive, and intelligent environment. Relevant electronic databases were searched, and 248 articles were selected for qualitative synthesis. Our review suggests that significant improvements are required in connectivity, data sensing, and collection to enhance both subtractive and additive technologies, though the pervasive use of AI by machines and software helps to automate processes. An intelligent system is highly recommended in both conventional and non-conventional subtractive manufacturing (SM) methods to monitor and inspect the workpiece conditions for defect detection and to control the machining strategies in response to instantaneous output. Similarly, AM product quality can be improved through the online monitoring of melt pool and defect formation using suitable sensing devices followed by process control using machine learning (ML) algorithms. Challenges in implementing intelligent additive and subtractive manufacturing systems are also discussed in the article. The challenges comprise difficulty in self-optimizing CNC systems considering real-time material property and tool condition, defect detections by in-situ AM process monitoring, issues of overfitting and underfitting data in ML models and expensive and complicated set-ups in hybrid manufacturing processes.

Applications and prospects of artificial intelligence in covert satellite communication: a review

Satellite communication has the characteristics of wide coverage and large communication capacity, and is not easily affected by land disasters. It is quite suitable as a supplement to terrestrial communication networks and has been widely used in education, navigation, emergency relief, military, etc. However, due to the openness of the channel of satellite communication systems, satellite communication signals are easily eavesdropped on by eavesdroppers. This greatly threatens the privacy and security of countries and individuals. Covert satellite communication can effectively improve the covertness of satellite communication systems and greatly reduce the probability of detection by eavesdroppers. So, it has attracted more and more attention. In addition, with the development of artificial intelligence (AI), AI has been applied in many technics of covert satellite communication, which has achieved higher reliability and stronger concealment in covert satellite communication systems. The research status of key technics in covert satellite communication is discussed in this study, and the applications of AI in covert satellite communication are shown. Finally, future research directions of covert satellite communication are looked forward to. In the future, covert satellite communication technology will be an indispensable part of satellite communication systems.

Перспективы искусственного интеллекта в России и за рубежом

The development of high technologies is currently one of the key factors determining the country’s success in the international arena. The development of all spheres of society today depends on the latest research and technological developments: not only economic and so­cial, in which high technologies are widely used, but also political and cultural, in which they are actively involved, allowing to optimize traditional approaches to organizing activi­ties in these areas. The question of the use of artificial intelligence in Russia and in the world is extremely relevant due to the importance that the latest developments have acquired in such areas as military affairs, medicine, and the judicial system. At the same time, the problem of determining the prospects for artificial intelligence in the Russian Federation, as well as in other countries, continues to be open. In this article, the authors turn to the analy­sis of the concept of “artificial intelligence”, distinguishing it from “artificial conscious­ness”, consider the causes and results of the introduction of artificial intelligence in various spheres of society in Russia and abroad, predicting its future.

Influence and Prospect of Artificial Intelligence on the Development of Cultural Industry

Nowadays, the products carried by artificial intelligence are all over people’s life, such as online shopping, intelligent security, remote diagnosis and treatment, life services, driverless, online distance education, and other services. Artificial intelligence not only allows people to enjoy convenient and fast life benefits, but also brings a certain degree of anxiety to the times. In recent years, with the continued popularity of the “artificial intelligence + culture” industry, the integration of cultural industry and artificial intelligence has become an inevitable development trend. The promotion of technology ultimately serves to improve the quality of human life. Artificial intelligence not only brings convenience, but also brings opportunities and challenges to the cultural industry.

Artificial Intelligence Milieu: Implications for Corporate Performance in the Nigerian Banking Industry

Artificial Intelligence (AI) is being used in the banking industry in Nigeria to scale new heights in customer relationship management. The function and popularity of Artificial Intelligence was soaring by the day and the banking industry had shown a moderate level of adaptation to AI. This study examined the implication of the usage and prospects of AI in the Nigerian banking industry. Survey research design was used for this study. The population covers members of staff of four Commercial Banks in Nigeria. The study adopted Multi stage Sampling techniques. Content validity techniques were used to validate the accuracy of the research instrument. The research findings depict that all variables are significant at 0.01 level. The results showed that adaptation of AI in the banking operation has positive implications in terms of customer satisfaction, customer retention, fraud, risk reduction and enhanced maximization. The study recommends that “enabling environment, some of which are in turn strongly influenced by larger political economic realities, especially the peculiar Artificial Intelligent setting in Nigeria is one obvious factor that need to be addressed. In conclusion, the study concluded that Artificial Intelligence in Nigeria banking industry has resulted in customer satisfaction, risk reduction and customer’s wealth maximization since Artificial Intelligence plays the role of detecting mismatch in transactions, provides personalised advisory services and developing solutions for eliminating human errors.

Application and Prospects of Artificial Intelligence in Prosthetic Dentistry

Application and Prospects of Artificial Intelligence in Prosthetic Dentistry

Применение систем искусственного интеллекта для решения бизнес-задач

In the context of digital transformation, due to help managers and organizations increase the efficiency and competitiveness of operations, the use of artificial intelligence methods or technologies for decision-making becomes more relevant. Thanks to the work of artificial intelligence, business gets a real basis for making correct and operational decisions. And this allows us to improve and develop business processes, increase profitability. Goal. Highlighting the problems and prospects of artificial intelligence, its impact on the economy and business in general. The study is based on the analysis of the basic concepts that are closely related to the problem of research, as well as the risks and threats of artificial intelligence within the business. The work revealed the experience of Russian brands in the development of artificial intelligence in business and the huge contribution of artificial intelligence to the economy. And also the problem of artificial intelligence control is analyzed – this is a task in the field of technology and philosophy of artificial intelligence. The goal is to create an artificial superintelligence that will be useful to people, and at the same time avoid unintentional creation of a superintelligence that will cause harm. According to the results of the conducted research, it can be concluded that artificial intelligence has huge opportunities in solving business problems. Artificial intelligence will bring many advantages to all spheres of society. Artificial intelligence-based technologies help to increase efficiency and productivity by automating processes and tasks that were previously performed by people. Artificial intelligence is also able to interpret volumes of data that a person cannot interpret.

The scientific progress and prospects of artificial intelligence in digestive endoscopy: A comprehensive bibliometric analysis.

Artificial intelligence (AI) has been used for diagnosis and outcome prediction in clinical practice. Furthermore, AI in digestive endoscopy has attracted much attention and shown promising and stimulating results. This study aimed to determine the development trends and research hotspots of AI in digestive endoscopy by visualizing articles. Publications on AI in digestive endoscopy research were retrieved from the Web of Science Core Collection on April 25, 2022. VOSviewer and CiteSpace were used to assess and plot the research outputs. This analytical research was based on original articles and reviews. A total of 524 records of AI research in digestive endoscopy, published between 2005 and 2022, were retrieved. The number of articles has increased 27-fold from 2017 to 2021. Fifty-one countries and 994 institutions contributed to all publications. Asian countries had the highest number of publications. China, the USA, and Japan were consistently the leading driving forces and mainly contributed (26%, 21%, and 14.31%, respectively). With a solid academic reputation in this area, Japan has the highest number of citations per article. Tada Tomohiro published the most articles and received the most citations.. Gastrointestinal endoscopy published the largest number of publications, and 4 of the top 10 cited papers were published in this journal. "The Classification," "ulcerative colitis," "capsule endoscopy," "polyp detection," and "early gastric cancer" were the leading research hotspots. Our study provides systematic elaboration for researchers to better understand the development of AI in gastrointestinal endoscopy.

Artificial intelligence in the digital twins: State of the art, challenges, and future research topics

Advanced computer technologies such as big data, Artificial Intelligence (AI), cloud computing, digital twins, and edge computing have been applied in various fields as digitalization has progressed. To study the status of the application of digital twins in the combination with AI, this paper classifies the applications and prospects of AI in digital twins by studying the research results of the current published literature. We discuss the application status of digital twins in the four areas of aerospace, intelligent manufacturing in production workshops, unmanned vehicles, and smart city transportation, and we review the current challenges and topics that need to be looked forward to in the future. It was found that the integration of digital twins and AI has significant effects in aerospace flight detection simulation, failure warning, aircraft assembly, and even unmanned flight. In the virtual simulation test of automobile autonomous driving, it can save 80% of the time and cost, and the same road conditions reduce the parameter scale of the actual vehicle dynamics model and greatly improve the test accuracy. In the intelligent manufacturing of production workshops, the establishment of a virtual workplace environment can provide timely fault warning, extend the service life of the equipment, and ensure the overall workshop operational safety. In smart city traffic, the real road environment is simulated, and traffic accidents are restored, so that the traffic situation is clear and efficient, and urban traffic management can be carried out quickly and accurately. Finally, we looked forward to the future of digital twins and AI, hoping to provide a reference for future research in related fields.

On the feasibility of technosocialism

Technological advances associated with computing power and the prospect of artificial intelligence have renewed interest on the economic feasibility of socialism. The question of such feasibility turns on whether the problem of economic calculation has fundamentally changed. In spite of the prospect of what King and Petty (2021) refer to as “technosocialism,” we argue that technological advances in computation cannot replace the competitive discovery process that takes place within the context of the market. We do so by situating the case for technosocialism in the context of the socialist calculation debate. Understood in these terms, technosocialism represents a restatement of the case for market socialism, which incorrectly framed the “solution” to economic calculation under socialism as one of computing data, rather than the discovery of context-specific knowledge that only emerges through the exchange of property rights. Therefore, the arguments put forth by Ludwig von Mises and F.A. Hayek, and later Israel Kirzner and Don Lavoie, regarding the impossibility of economic calculation under socialism remains just as relevant today.

Progress and prospects for artificial intelligence in clinical practice: learning from COVID-19.

Progress and prospects for artificial intelligence in clinical practice: learning from COVID-19.

The prospects of artificial intelligence in urban planning

ABSTRACT Over the past several decades, urban planning has considered a variety of advanced analysis methods with greater and lesser degrees of adoption. Geographic Information Systems (GIS) is probably the most notable, with others such as database management systems (DBMS), decision support systems (DSS), planning support systems (PSS), and expert systems (ES), having mixed levels of recognition and acceptance (Kontokosta, C. E. (2021). Urban informatics in the science and practice of planning. Journal of Planning Education and Research, 41(4), 382–395. doi:10.1177/0739456X18793716; Yigitcanlar, T., Desouza, K. C., Butler, L., & Roozkhosh, F. (2020). Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature. Energies, 13(6), 1473). Advances in information technologies have moved very slowly in the field of urban planning, more recently concerning ‘smart city’ technologies while revolutionizing other domains, such as consumer goods and services. Baidu, Amazon, Netflix, Google, and many others are using these technologies to gain insights into consumer behaviour and characteristics and improve supply chains and logistics. This is an opportune time for urban planners to consider the application of AI-related techniques given vast increases in data availability, increased processing speeds, and increased popularity and development of planning related applications. Research on these topics by urban planning scholars has increased over the past few years, but there is little evidence to suggest that the results are making it into the hands of professional planners (Batty, M. (2018). Artificial intelligence and smart cities. Environment and Planning B: Urban Analytics and City Science, 45(1), 3–6; Batty, M. (2021). Planning education in the digital age. Environment and Planning B: Urban Analytics and City Science, 48(2), 207–211). Others encourage planners to leverage the ubiquity of data and advances in computing to enhance redistributive justice in information resources and procedural justice in decision-making among marginalized communities (Boeing, G., Besbris, M., Schachter, A., & Kuk, J. (2020). Housing search in the Age of Big data: Smarter cities or the same Old blind spots? Housing Policy Debate, 31(1), 112–126; Goodspeed, R. (2015). Smart cities: Moving beyond urban cybernetics to tackle wicked problems. Cambridge journal of regions, Economy and Society, 8(1), 79–92). This article highlights findings from a recent literature review on AI in planning and discusses the results of a national survey of urban planners about their perspectives on AI adoption and concerns they have expressed about its broader use in the profession. Currently, the outlook is mixed, matching how urban planners initially viewed the early stages of computer adoption within the profession. And yet today, personal computers are essential to any job.

Artificially intelligent boards and the future of Delaware corporate law

ABSTRACT This article argues that the prospects for Artificial Intelligence (AI) to impact corporate law are at once over- and under-stated, focusing on the law of Delaware – the predominant jurisdiction of incorporation for US public companies. Claims that AI systems might displace human directors not only exaggerate AI’s foreseeable technological potential, but ignore doctrinal and institutional impediments intrinsic to Delaware’s competitive model – notably, heavy reliance on nuanced applications of the fiduciary duty of loyalty by a true court of equity. At the same time, however, there are discrete AI applications that might not merely be accommodated by Delaware corporate law, but perhaps eventually required. This would appear most likely in the oversight context, where loyalty has been interpreted to require good faith effort to adopt a reasonable compliance monitoring system, an approach driven by an implicit cost-benefit analysis that could lean decisively in favour of AI-based approaches in the foreseeable future.

Research Hotspot and Prospect of Artificial Intelligence in Marketing in China——Visual Analysis Based on CiteSpace

The artificial intelligence industry has developed rapidly and is now being used in a number of areas of integration, such as healthcare, education and agriculture. A comprehensive understanding of the research hotspots and prospect of artificial intelligence in marketing will be of great value to scholars and companies in their marketing work. Using the CNKI database as the data source, this study adopts a quantitative analysis research method and uses the visualization software CiteSpace 5.8 R3 to comb through the domestic AI marketing-related literature published during the decade 2001-2021, draw up a scientific knowledge map, and analyze it in terms of research hotspots, themes and evolutionary trends respectively. The results show that "big data", "precision marketing", "digital marketing", "advertising" and "smart marketing" are the hot keywords; The research focuses on five modules: "Smart Advertising", "Smart Media Marketing", "Precision Marketing", "New Retail" and "Short Video Marketing". Further analysis reveals that future research could start with AI marketing scenarios, data and carriers, with an eye towards deeper exploration of content scenarios, user profiling, new media marketing and other more segmented areas.

Application Status and Prospects of Artificial Intelligence in Peptic Ulcers.

Peptic ulcer (PU) is a common and frequently occurring disease. Although PU seriously threatens the lives and health of global residents, the applications of artificial intelligence (AI) have strongly promoted diversification and modernization in the diagnosis and treatment of PU. This minireview elaborates on the research progress of AI in the field of PU, from PU’s pathogenic factor Helicobacter pylori (Hp) infection, diagnosis and differential diagnosis, to its management and complications (bleeding, obstruction, perforation and canceration). Finally, the challenges and prospects of AI application in PU are prospected and expounded. With the in-depth understanding of modern medical technology, AI remains a promising option in the management of PU patients and plays a more indispensable role. How to realize the robustness, versatility and diversity of multifunctional AI systems in PU and conduct multicenter prospective clinical research as soon as possible are the top priorities in the future.

Artificial intelligence: Emerging player in the diagnosis and treatment of digestive disease.

Given the breakthroughs in key technologies, such as image recognition, deep learning and neural networks, artificial intelligence (AI) continues to be increasingly developed, leading to closer and deeper integration with an increasingly data-, knowledge- and brain labor-intensive medical industry. As society continues to advance and individuals become more aware of their health needs, the problems associated with the aging of the population are receiving increasing attention, and there is an urgent demand for improving medical technology, prolonging human life and enhancing health. Digestive system diseases are the most common clinical diseases and are characterized by complex clinical manifestations and a general lack of obvious symptoms in the early stage. Such diseases are very difficult to diagnose and treat. In recent years, the incidence of diseases of the digestive system has increased. As AI applications in the field of health care continue to be developed, AI has begun playing an important role in the diagnosis and treatment of diseases of the digestive system. In this paper, the application of AI in assisted diagnosis and the application and prospects of AI in malignant and benign digestive system diseases are reviewed.

Prospects of Artificial Intelligence in Medical Devices – Benefits and Challenges

With advancements being accelerated in fields of Machine learning (ML), Deep Learning (DL), and the Internet of Medical Devices (IoMD), Artificial Intelligence (AI) has significantly evolved over the last decade. This transformation has opened doors for new possibilities of fostering AI in Medical Devices (AIMD) for applications that have not been explored before. With the current advancements in the computational capabilities, there has been a wide range of Medical Devices released in the global market, which are either supported by or driven by software to deliver its intended purpose. But with the advent of AI, software though built upon a string of codes has no restriction on the choices that it could make, since its essence lies on the deducing a decision based on a predictive analysis. This has called for rethinking our conventional approach towards the usage of Software in Medical Devices. Coupling with the rapid growth rate of these devices and their focus on delivering impeccable assistance to the facilitators who were doing things all by themselves previously, it also calls for a proper set of guidelines to regulate the usage of AIMD, considering its massive scalability and the gargantuan amounts of data that it brings along with it. This paper focuses on extrapolating the growth factors of AIMD along with the prerequisites that ought to be met by the organizations to prepare themselves for transforming and adopting this new technology. It also covers the aspects that are to be emphasized in regulating it in the forthcoming years.

The Research and Development Thinking on the Status of Artificial Intelligence in Traditional Chinese Medicine.

With the rapid development and application of artificial intelligence (AI) in medical field, the diagnostic ways of human health and the social medical structures have changed. Based on the concept of holism and the theory of syndrome differentiation and treatment, TCM realizes comprehensive informatization and intelligence with the help of AI technology in data mining, intelligent diagnosis and treatment, intelligent learning, and decision-making. Furthermore, the intelligent research of TCM technology will further promote the improvement in TCM diagnosis and treatment rules and the leaping development of TCM intelligent instruments. In this article, we performed a systematic review of scientific literature about TCM and AI. Moreover, the practical problems of TCM intellectualization, the current situation and demand of TCM, and the influence of AI in the TCM field are discussed by searching for literature using TCM scientific databases, reference lists, expert consultation, and targeted websites. Finally, we look forward to the application prospects of AI and propose a possible future direction of intelligent TCM in the current health-care system in China.

Understanding deep learning - challenges and prospects.

The developments in Artificial Intelligence have been on the rise since its advent. The advancements in this field have been the innovative research area across a wide range of industries, making its incorporation in dentistry inevitable. Artificial Intelligence techniques are making serious progress in the diagnostic and treatment planning aspects of dental clinical practice. This will ultimately help in the elimination of subjectivity and human error that are often part of radiographic interpretations, and will improve the overall efficiency of the process. The various types of Artificial Intelligence algorithms that exist today make the understanding of their application quite complex. The current narrative review was planned to make comprehension of Artificial Intelligence algorithms relatively straightforward. The focus was planned to be kept on the current developments and prospects of Artificial Intelligence in dentistry, especially Deep Learning and Convolutional Neural Networks in diagnostic imaging. The narrative review may facilitate the interpretation of seemingly perplexing research published widely in dental journals.