Research on the Impact of Innovation Input on Artificial Intelligence Technology Empowerment and Performance of Manufacturing Enterprises

2021 ◽  
Author(s):  
Fansheng Meng ◽  
Bing Han
Keyword(s):  
Artificial Intelligence ◽  
Manufacturing Enterprises ◽  
Artificial Intelligence Technology ◽  
And Performance ◽  
The Impact

scholarly journals Research on the Evaluation and Optimization Method of the Impact of Chorus Education on University Culture Based on Coevolution Model in the Background of Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Qingna Lin ◽  
Lizheng Zhuo
Keyword(s):  
Artificial Intelligence ◽  
Evaluation System ◽  
Quantitative Methods ◽  
Comprehensive Evaluation ◽  
Colleges And Universities ◽  
Practical Significance ◽  
University Culture ◽  
Research Perspectives ◽  
Artificial Intelligence Technology ◽  
The Impact

The development of artificial intelligence technology is a field where all walks of life need to carry out in-depth research in the future, and the introduction of artificial intelligence technology in the field of university evaluation has become an inevitable trend. Through the collection and collation of the literature at home and abroad, the influence of chorus education on college culture in China has long remained in qualitative and experiential judgment and the significance and value of chorus education to colleges and universities are relatively single. Therefore, it is of great innovative value and practical significance to establish a scientific, systematic, and comprehensive evaluation mechanism for the impact of chorus education on university culture and to scientifically analyze key issues, establish evaluation criteria, and inject new research perspectives into the promotion of chorus education in colleges and universities in China, combining with the mature coevolution theoretical model of management science. It is of great innovative value and significance to combine the DEMATEL research method with the current practice of promoting chorus education in China’s colleges and universities and to systematically and comprehensively construct the evaluation system and research paradigm in line with chorus education by using the qualitative and quantitative methods.

scholarly journals Empirical model for analysis of the dynamics of algorithmization (artificial intelligence technology) in the field of security by the example of the USA

2021 ◽  
Author(s):  
A.M. Turobov ◽  
M.G. Mironyuk
Keyword(s):  
Artificial Intelligence ◽  
Empirical Model ◽  
Digital Technologies ◽  
The State ◽  
Security System ◽  
State Security ◽  
The Usa ◽  
Artificial Intelligence Technology ◽  
Definition Of ◽  
The Impact

How does the state security system evolve under the influence of the artificial intelligence technology? To answer this question, an empirical model is proposed. The model evaluates the state security system (by the example of the USA) using the security consistency parameter, which estimates how the state perceives threats (indicator of threats) and whether the state has the necessary capabilities to counter them (indicator of capabilities) in relation to the artificial intelligence technology. The model (as well as the conceptualization of the artificial intelligence technology in the context of the security domain) provides evidence of how security transformations occur. It serves as a tool for studying the corresponding changes and assessing the state security system. It is necessary to indicate the limitation of the study: we do not consider direct military applications in the field of automation and algorithms (artificial intelligence technology). The validation of the empirical model has been undertaken using the case of the USA (eight-time intervals are subject to analysis, namely: 1999, 2002, 2006, 2010, 2012, 2015, 2017, 2019). With the development of the technology itself, the “interest” of the state and the definition of threats, as well as the rapid growth of the capabilities of the artificial intelligence technology (coincides with the years of maximum progress in computing power and the introduction of new algorithms) are growing, and since 2012, the dynamic has been linear, since more new “discoveries” have contributed to evolutionary rather than “revolutionary” growth trajectory. The developed model is scalable. This feature may be useful in the empirical security studies: the artificial intelligence technology within the model can be replaced with other types of digital technologies (for example, big data, cloud computing or 5 g connection technologies, etc.); thus, empirical models of security consistency under the impact of other technologies can be developed. The approach proposed allows to under take cross-country comparisons with respect to specific types of digital technologies and their interactions with the security domain.

An Artificial Intelligence-Based Approach to Model User Behavior on the Adoption of E-Payment

2022 ◽  
pp. 1-15
Author(s):  
P. C. Lai ◽  
Dong Ling Tong
Keyword(s):  
Artificial Intelligence ◽  
User Behavior ◽  
Analysis Pipeline ◽  
Related Factors ◽  
New Business ◽  
Payment Services ◽  
And Performance ◽  
Facilitating Conditions ◽  
Hybrid Artificial Intelligence ◽  
The Impact

The growth of internet usage during the COVID-19 pandemic creates a new business avenue on e-payment for organizations to expand their business horizon. However, challenges on user-related factors arise with this new avenue. This study aims to investigate the association of these factors on the adoption of e-payment services using machine learning inference. An artificial intelligence-based analysis pipeline is established to study the impact of individual items of the dependent factors on the usage of e-payment. In the analysis pipeline, the important items were extracted using a hybrid artificial intelligence method, and the relationships of these items were inferred using the tree algorithm. The results show that items related to expectancy, facilitating conditions, user attitude, and performance expectancy affect usage of e-payment services. Participants below 25 years old require a gamification solution to adopt e-payment, and participants above 40 years old need social support.

scholarly journals Application and Performance of Artificial Intelligence Technology in Oral Cancer Diagnosis and Prediction of Prognosis: A Systematic Review

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1004
Author(s):  
Sanjeev B. Khanagar ◽  
Sachin Naik ◽  
Abdulaziz Abdullah Al Kheraif ◽  
Satish Vishwanathaiah ◽  
Prabhadevi C. Maganur ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Oral Cancer ◽  
Cox Regression ◽  
Eligibility Criteria ◽  
Cox Regression Analysis ◽  
Electronic Search ◽  
Clinical Strategies ◽  
Artificial Intelligence Technology ◽  
And Performance ◽  
Prediction Of Prognosis

Oral cancer (OC) is a deadly disease with a high mortality and complex etiology. Artificial intelligence (AI) is one of the outstanding innovations in technology used in dental science. This paper intends to report on the application and performance of AI in diagnosis and predicting the occurrence of OC. In this study, we carried out data search through an electronic search in several renowned databases, which mainly included PubMed, Google Scholar, Scopus, Embase, Cochrane, Web of Science, and the Saudi Digital Library for articles that were published between January 2000 to March 2021. We included 16 articles that met the eligibility criteria and were critically analyzed using QUADAS-2. AI can precisely analyze an enormous dataset of images (fluorescent, hyperspectral, cytology, CT images, etc.) to diagnose OC. AI can accurately predict the occurrence of OC, as compared to conventional methods, by analyzing predisposing factors like age, gender, tobacco habits, and bio-markers. The precision and accuracy of AI in diagnosis as well as predicting the occurrence are higher than the current, existing clinical strategies, as well as conventional statistics like cox regression analysis and logistic regression.

scholarly journals Legal forms and ways of application of artificial intelligence technology in making corporate decisions by the board of directors: problems and prospects

2021 ◽  
Vol 106 ◽  
pp. 02012
Author(s):  
Olga Sushkova
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Corporate Governance ◽  
Board Of Directors ◽  
Three Dimensions ◽  
Corporate Decisions ◽  
The Board Of Directors ◽  
Artificial Intelligence Technology ◽  
Legal Forms ◽  
The Impact

This study investigates the impact of scientific and technological advances and adaptation of artificial intelligence on corporate governance practices. It applies or can be applied in three dimensions - business, technology, and society. Therefore, to assess the necessity, feasibility, effectiveness, and responsibility of decision-making automation at the Board of Directors (supervisory body of a legal entity) to ensure effective corporate governance, it is necessary to consider all normative regulators in the field of corporate law. Based on an assessment of the potential and limitations of human and machine learning for effective decision-making at the level of the collegial governance body, the Board of Directors, the paper proposes five AI-based governance scenarios, i.e., supportive, augmented, enhanced, autonomous, and autopoietic, that can shape the governance of organizations today, tomorrow, and in the future. It is important to understand the implications of such AI-enabled governance in the areas where the Board is empowered to make certain corporate decisions.

scholarly journals Impact of Artificial Intelligence on Vietnam Commercial Bank Operations

2020 ◽  
Vol 6 (07) ◽  
pp. 296-303
Author(s):  
Sang My Tang ◽  
Hung Nguyen Tien
Keyword(s):  
Artificial Intelligence ◽  
Risk Assessment ◽  
Commercial Bank ◽  
Operations Research ◽  
Research Study ◽  
Banking Industry ◽  
Secondary Data ◽  
And Performance ◽  
The Impact ◽  
Day By Day

Through secondary data, the research study about the impact of artificial intelligence (AI) on commercial bank operations. Research results show that AI is being applied in the banking industry with many different applications such as Chatbot, risk assessment, anti-money laundering, fraud detection, and algorithmic... The application of AI in the banking industry is changing day by day, but the trend of AI application of the bank focuses on three goals that affect the bank's operations. The impact of AI on banking operations including the impact on customer experience, the impact on the bank's cost and performance, the impact on risk management, and the impact on bank compliance.

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