Application Of Artificial Intelligence Technology Research Articles

Determining the psycho-emotional state of the observed based on the analysis of video observations

This paper develops a system for determining the psycho-emotional state of the observed people based on the analysis of video surveillance with the application of artificial intelligence technology using hardware and software tools such as PoseNet, PyTorch, SQLite, FastAPI and Flask. In many areas of human endeavor, there is an urgent need for a surveillance system that can reliably function and detect suspicious activities. To solve this problem, this paper proposes a novel framework for a real-time surveillance system that automatically detects abnormal human activities. The system has been tested and validated in real environments. The results of testing artificial intelligence program models showed the best results (f1 score with values of 0.98–0.99). The weighted average value of the f1-score metric was 0.96, which is quite a high value. The use of PoseNet implemented with PyTorch allowed to accurately determine the pose of the person in the video and extract information about the position of different body parts. The peculiarity of this work lies in the development of artificial intelligence models for automatic detection of possible physical aggression in videos, in the methods of forming an optimal set of features for the development of AI models that identify the aggressor and the victim of bullying. The developed system has the potential to be a useful tool in various fields such as psychology, medicine, security and others where it is important to analyze the emotional state of people based on their physical manifestations. The obtained applied results can be used in educational institutions and in spheres where video analysis is necessary

Artificial Intelligence In Human Resource Management of Organizations

Relevance. Digitalization covers all spheres of our life, the pace of development of information technologies is accelerating – their importance in modern society is increasing. There is an active introduction of modern technologies into various business processes, including personnel management, which can change the human resource management system we are used to. The field of artificial intelligence development is not left behind, impressing the whole world with the pace of development in many areas, including work with personnel: recruitment, hiring and training. The purpose of the article is to study the introduction of digital technologies in personnel management. Objectives: to study the directions of artificial intelligence development in economics and management; to consider the history of the origin of the idea of such an application of artificial intelligence tools; to assess the interest in artificial intelligence in the field of human resource management; to consider the opinions of leading experts on the successes and prospects of the introduction of artificial intelligence in human resource management. Methodology. In the course of scientific research, empirical, theoretical, statistical methods and methods of graphical representation were used. Results. The theoretical aspects of the application of artificial intelligence technologies were studied; the popularity of this topic in science and business was shown. The experience of using artificial intelligence in human resource management of large global and Russian companies is summarized and the prospects for the development of this direction are shown. Examples of the positive effect of the introduction of artificial intelligence in the field of human resource management are shown. Conclusions. The article emphasizes the relevance and importance of the topic under consideration, taking into account the latest trends, perspectives and views of leading analysts. The possibilities that artificial intelligence technologies open up in the field of human resources are considered.

Research on the Application of Artificial Intelligence Technology in the Field of Intelligent Transportation Systems

Research on the Application of Artificial Intelligence Technology in the Field of Intelligent Transportation Systems

Review of the application of artificial intelligence technology in the field of thyroid medical imaging

In recent years, there has been a noticeable increase in the incidence of thyroid diseases, posing severe challenges to the traditional diagnosis and treatment methods. As a result, artificial intelligence technology has emerged as a valuable tool in the field of thyroid medical imaging, offering substantial support for auxiliary diagnosis and treatment in the future. In this paper, the application of artificial intelligence in the field of thyroid medical imaging is divided into three parts: image segmentation and texture analysis, benign and malignant diagnosis of thyroid gland, and postoperative analysis and prediction of thyroid conditions. Through an examination of recent research datasets and an analysis of the medical imaging process, this paper investigates the application of various algorithm models in these three areas and provides a comprehensive overview of the latest research trends. Furthermore, some certain directions for future research are also provided in this work.

AIGC Application Scenarios, Influence and Countermeasures in Film and Television Production

The rise of AIGC has a profound impact on the development of film and television production. The application of artificial intelligence technology to produce content in film and television production is changing the traditional production process and mode, and gradually reshaping the production process. This paper analyzes application scenarios of AIGC and its influence on film and television production, and puts forward some countermeasures to this new generation mode from the aspects of adapting to the new production paradigm, strengthening talent training, and utilizing AIGC legally.

Application of artificial intelligence technologies and big data computing for nuclear power plants control: a review

Nuclear power plants produce a massive amount of clean energy and necessitate safe operation through intelligence technologies. Recently, the rapid advancements in communication infrastructures including artificial intelligence, big data computing, and Internet of Things devices moving the nuclear industries towards digitalization and intelligence to improve safety. The integration of these technologies into the nuclear sector offers effective tactics in addressing several challenges in the control and safe operation of nuclear power plants. This can be achieved through the insights generated from massive amounts of data. This paper comprehensively reviews the literature on artificial intelligence technologies and big data, seeking to provide a holistic perspective on their relations and how they can be integrated with nuclear power plants. The utilization of computing platforms boosts the deployment of artificial intelligence and big data analytics effectively in nuclear power plants. Further, this review also points out the future opportunities as well as challenges for applying artificial intelligence and big data computing in the nuclear industry.

Research on the application of Artificial Intelligence

Currently, the field of artificial intelligence mainly includes key technologies such as computer vision, natural language processing, cross-media analytical reasoning, intellectually adaptive learning, group intelligence, autonomous unmanned systems, smart chips and brain-computer interfaces. These operations that can be completed with the assistance of artificial intelligence, with the help of artificial intelligence, life efficiency is greatly improved and the cost is greatly reduced. However, at present, Artificial Intelligence is only effective in the field of pointed and high-end research and learning, and there are still some thresholds in the application of daily life. In recent days, there have been a series of new technological inventions such as ChatGPT and a series of civilian Artificial Intelligence. Most of these new programs cannot be reasonably applied. This paper takes the application of Artificial Intelligence in the professional field as the background, and deeply explores the application of Artificial Intelligence technology in the non-professional field as exemplified by ChatGPT. This paper finds that in the medical field, Artificial Intelligence has played a considerable role, and Artificial Intelligence research on medical care is also in progress, so this paper makes predictions about the Artificial Intelligence that will appear in the medical industry based on the current situation, and investigates the understanding and use of Artificial Intelligence among teenagers through questionnaires, and analyzes the collected data.

Implementation of artificial intelligence technologies in management: advantages and disadvantages

The article defines the content of the concept of artificial intelligence; identifies the main elements of artificial intelligence; outlines the main directions of application of artificial intelligence technologies in management; provides advantages and disadvantages of introducing artificial intelligence technologies in management; identifies the main directions of further development of the field of artificial intelligence and the consequences of its practical application in Ukraine

PENINGKATAN PROMOSI DAN PENGARSIPAN DIGITAL SANGGAR SENI TARI DAN BUDAYA SAWO KECIK MELALUI PEMBUATAN WEBSITE AI

ABSTRACT This community service activity aimed to develop and launch an artificial intelligence (AI)-based website as a promotional media and digital archive for the Cirebon Sawo Kecik Dance and Culture Art Studio. This is due to the need for this dance studio to increase its exposure in the digital world and archive works of art. In creating this website, a needs analysis was carried out, website development with AI integration, as well as training for studio members. From the results of implementing this activity, it was found that an interactive website can accommodate event promotion, adjust content to visitor preferences, and collect digital archive data of works of art. This community service activity also helped dance studios increasing their visibility online. Therefore, the application of AI technology in the form of a website has helped the Sawo Kecik Dance and Cultural Arts Studio achieve the studio's digital promotion and archiving goals well.

ИНТЕГРАЦИЯ ТЕХНОЛОГИИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА ДЛЯ ПОВЫШЕНИЯ ЭФФЕКТИВНОСТИ ЭВАКУАЦИИ ЛЮДЕЙ ПРИ ПОЖАРЕ

The application of artificial intelligence technology to improve the evacuation control system at fires is considered. The focus is on the shortcomings of traditional evacuation methods and the potential of artificial intelligence in big data processing to optimize the flow of people. 
 The integration of artificial intelligence algorithms with models of human behavior to develop more effective evacuation scenarios that take into account the psychological and physiological aspects of human behavior in emergency situations is discussed.

Retraction Note: Application of artificial intelligence technology in financial data inspection and manufacturing bond default prediction in small and medium-sized enterprises (SMEs)

Retraction Note: Application of artificial intelligence technology in financial data inspection and manufacturing bond default prediction in small and medium-sized enterprises (SMEs)

Artificial Intelligence in Indo-Pacific

The use of Artificial Intelligence in the military is like two sides of a coin. It can provide convenience and aid in military operations but has the potential to hinder military operations. Dangerous and potentially catastrophic for humanity will be inevitable as no restrictions on its use. The United States, China, Australia, Japan, and India are examples of nations whose militaries have developed artificial intelligence technology. Geographically, Southeast Asia, which is located in the middle of these nations, will experience a significant impact due to its tight maritime borders if there is no international consensus on the military application of artificial intelligence technology. An autonomous or autonomous system to operate this technology will reduce the amount of human control and allow it to operate without any human intervention. It will be a threat to the application of the fundamental principles of international humanitarian law, such as the distinction principle, and proportionality principle. Where these principles are tightly intertwined with human command and control in making decisions regarding the execution of attacks. The article employs normative legal methodology. Furthermore, this paper endeavours to assess the pertinence of principles in international humanitarian law during the era of the artificial intelligence arms race. It also delves into the contribution of ASEAN in upholding stability, peace, and security in the Southeast Asia region, thereby reinforcing the importance of this research. This research emphasises the importance of aligning the progress of artificial intelligence in military contexts with core principles of international humanitarian law. It underscores the need for ASEAN to safeguard regional peace and security by establishing a novel regulatory framework that outlines restrictions on the development and deployment of artificial intelligence for military objectives.

Practice and application of artificial intelligence technologies in the digital economy

With the continuous development of the digital economy, artificial intelligence technology is becoming more and more widely used in various fields. This paper mainly discusses the practice and application of artificial intelligence technology in the digital economy, including its application field, technical principle, implementation method, and future development trends. Through analyzing the current application status and existing problems of artificial intelligence technology in the digital economy, this paper puts forward some improvement measures and development suggestions, aiming to provide a reference for promoting the better application of artificial intelligence technology in the digital economy.

Application and existing problems of artificial intelligence technology in the agricultural field

In recent years, the application of artificial intelligence technology in the field of agriculture has been rapidly developed. This paper summarizes the application of artificial intelligence in agriculture and divides it into two main directions: monitoring system and expert system. This paper analyzes the soil monitoring, pest monitoring, and plant growth detection of the monitoring system, the simple decision chain of the expert system, and the complex expert system combined with artificial intelligence technology. Utilizing sensor networks, image processing, and machine learning techniques, artificial intelligence enables real-time monitoring of soil parameters, automatic identification of pest and disease, analysis of plant growth status, and provision of tailored management recommendations. By employing rule-based expert systems, artificial intelligence assists farmers in making informed decisions. These applications have significantly advanced resource management optimization, pest control, precise growth monitoring, and intelligent decision-making in agriculture. At the end of the article, this paper summarizes the full text and looks forward to the future trend.

Artificial Intelligence Technology in Mechanical Dogs

Technology is changing day by day, and the products of the times are endless, just as the steam engine in the steam era, the generator in the electrical era, and the computer and the Internet in the information era, artificial intelligence is becoming a decisive force to push mankind into the intelligent era. With this background, this paper discusses the application of artificial intelligence technology in the field of mechanical dogs. Firstly, this paper explains the development status of artificial intelligence technology (AI) at home and abroad, then gives an overview of AI technology and mechanical dogs respectively, then lists the application status of four common types of intelligent mechanical dogs, and finally concludes that AI technology in the field of mechanical dogs still has a better development prospect.

Applying artificial intelligence technologies to inclusive journalism

The article highlights the integration of technology into journalism, and new emerging media trends. It studies the current situation regarding the application of artificial intelligence technologies to journalism, the problems encountered in this field. Examples of artificial intelligence journalism widely used in international media are indicated. Study provides information about companies offering AI services to global news organizations. It also emphasizes the need for journalism education to be constantly modern and keep up with the development of technology. The article explains the concept of inclusive journalism, the main task of inclusive journalism, the opportunities it can create, and the application of artificial intelligence to inclusive journalism. Academic research on inclusivity is reviewed. Moreover, the activities of inclusive journalism in Azerbaijan are studied and the current situation is evaluated. The study indicates that the application of information communication technology (ICT) to journalism will serve to provide information to people with physical disabilities. Also, the article explores the prospects of applying ICT to journalism and the problems it can pose. It notes that the application of artificial intelligence technologies to journalism can provide a new form of information collection, preparation and dissemination.

Artificial intelligence in cybersecurity: Protecting national infrastructure: A USA review

Artificial Intelligence (AI) has emerged as a transformative force in the field of cybersecurity, playing a pivotal role in safeguarding national infrastructure. This review focuses on the application of AI technologies within the context of the United States, examining their efficacy in fortifying critical systems against evolving cyber threats. The paper delves into various AI-driven cybersecurity strategies, ranging from anomaly detection and predictive analysis to threat intelligence and automated response mechanisms. The integration of AI in cybersecurity not only enhances the speed and accuracy of threat detection but also addresses the dynamic nature of cyber threats. The specific AI technologies employed in the United States, including machine learning, natural language processing, and neural networks, highlighting their contributions to bolstering the resilience of national infrastructure are also examined. Furthermore, the challenges and ethical considerations associated with the widespread adoption of AI in cybersecurity are assessed. It discusses the need for robust regulatory frameworks to govern the deployment of AI in sensitive domains and emphasizes the importance of collaboration between government agencies, private enterprises, and research institutions to foster innovation and address emerging threats. In conclusion, this review provides a comprehensive analysis of the role of AI in cybersecurity within the United States, emphasizing its significance in protecting critical national infrastructure. By exploring technological advancements, challenges, and ethical considerations, this paper contributes to the ongoing discourse on leveraging AI to safeguard against the ever-evolving landscape of cyber threats.

Integrating Artificial Intelligence with Human Psychology

This research paper delves into the intriguing intersection of artificial intelligence (AI) and human psychology, exploring the multifaceted ways in which these domains converge and influence each other. The study encompasses various applications of AI technologies in understanding, simulating, and augmenting human psychological processes, aiming to shed light on the transformative potential and ethical considerations of such integration. The first section investigates the role of AI in emotion recognition, where machine learning algorithms discern human emotions through facial expressions, voice modulation, and physiological signals. Examining the applications in mental health, human-computer interaction, and sentiment analysis, this research assesses the impact on individual well-being and the broader societal implications. The second thematic area delves into personalized learning using AI, exploring how adaptive educational content can cater to diverse learning styles, preferences, and cognitive abilities. The study evaluates the effectiveness of personalized learning in enhancing student engagement and academic achievement, with implications for reshaping educational paradigms. The third focus of this research centers on the intersection of AI-driven chatbots and mental health support. Analyzing the development and deployment of AI chatbots in providing assistance for mental health issues, the study evaluates the efficacy of these tools in reducing stigma and improving accessibility to mental health resources. Ethical considerations constitute a significant aspect of this research, with an examination of the responsible use of AI in psychometrics, personality profiling, and predictive modeling. Privacy concerns, bias mitigation, and the ethical implications of employing AI in sensitive psychological domains are critically assessed. The paper also explores the collaborative potential of AI in creative endeavors, investigating how AI tools enhance human creativity in areas such as art, music, and writing. The psychological impact on creators and the implications for the future of creative industries are thoroughly examined. Throughout the research, the ethical implications of AI are a recurrent theme, as responsible deployment and consideration of biases in AI algorithms are paramount. The study concludes with a reflection on the evolving landscape of AI in conjunction with human psychology, emphasizing the need for interdisciplinary collaboration, ethical guidelines, and ongoing research to navigate the intricate nuances of this dynamic relationship.

The Impact of Artificial Intelligence on the Labor Market

With the rapid development and wide application of artificial intelligence technology, its impact on China's labor market has become more and more significant, and has also attracted extensive attention and research in the academic community. Artificial intelligence is profoundly changing the pattern of the labor market, which has a significant impact on industrial development as well as employment opportunities. In this paper, the impact of artificial intelligence technology on the labor market is discussed in depth by analyzing the current status of research at home and abroad. The research results show that there is a duality in the impact of AI technology on the labor market, on the one hand, AI technology can improve production efficiency and create more new employment opportunities, on the other hand, the popularization of intelligent technology will also have an impact on some traditional labor positions. Therefore, in order to effectively cope with the challenges brought by AI technology, and at the same time can make better use of the opportunities brought by it to further promote the stability and sustainable development of the labor market and achieve higher quality employment, this paper puts forward relevant policy recommendations.

Role of biomarkers and molecular signaling pathways in acute lung injury.

Acute lung injury (ALI) is caused by bacterial, fungal, and viral infections. When pathogens invade the lungs, the immune system responds by producing cytokines, chemokines, and interferons to promote the infiltration of phagocytic cells, which are essential for pathogen clearance. Their excess production causes an overactive immune response and a pathological hyper-inflammatory state, which leads to ALI. Until now, there is no particular pharmaceutical treatment available for ALI despite known inflammatory mediators like neutrophil extracellular traps (NETs) and reactive oxygen species (ROS). Therefore, the primary objective of this review is to provide the clear overview on the mechanisms controlling NETs, ROS formation, and other relevant processes during the pathogenesis of ALI. In addition, we have discussed the significance of epithelial and endothelial damage indicators and several molecular signaling pathways associated with ALI. The literature review was done from Web of Science, Scopus, PubMed, and Google Scholar for ALI, NETs, ROS, inflammation, biomarkers, Toll- and nucleotide-binding oligomerization domain (NOD)-like receptors, alveolar damage, pro-inflammatory cytokines, and epithelial/endothelial damage alone or in combination. This review summarized the main clinical signs of ALI, including the regulation and distinct function of epithelial and endothelial biomarkers, NETs, ROS, and pattern recognition receptors (PRRs). However, no particular drugs including vaccine for ALI has been established. Furthermore, there is a lack of validated diagnostic tools and a poor predictive rationality of current therapeutic biomarkers. Hence, extensive and precise research is required to speed up the process of drug testing and development by the application of artificial intelligence technologies, structure-based drug design, in-silico approaches, and drug repurposing.