Implementation Of Artificial Intelligence Technologies Research Articles

A predictive analytics approach for forecasting bike rental demand

The demand for rental bikes in urban areas fluctuates, leading to localized surpluses and shortages. To address this challenge, effective bike relocation strategies are essential for ensuring equitable distribution and maximizing customer satisfaction. This study aims to employ advanced machine learning techniques to forecast bike rental demand in urban areas, thereby enhancing the efficiency and accessibility of bike rental services and contributing to sustainable urban mobility. The study comprehensively analyzes various influencing factors using machine learning models, including Ordinary Least Squares regression, MLP Regression, Gradient Boosting Regression, Random Forest Regression, Polynomial Regression, and Decision Tree Regression. The primary objective is to identify the most accurate predictor by comparing key metrics such as R-squared (R2), Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Pearson Correlation Coefficient. Insights gained from this analysis aid in identifying influential variables and ensure the development of resource-efficient and adaptable models, leading to more informed decision-making for rental bike businesses. Additionally, future research directions involve the implementation of artificial intelligence technology to predict overall bike demand based on urban cities’ criteria, including the number of national and international tourists. By addressing these objectives, this study seeks to provide valuable insights and tools for rental bike businesses to optimize operations, make strategic decisions, and enhance customer experience in competitive urban markets.

ШТУЧНИЙ ІНТЕЛЕКТ У ВИЩІЙ ОСВІТІ: МОЖЛИВОСТІ ВИКОРИСТАННЯ

The integration of artificial intelligence into the system of higher education represents a turning point in the process of learning and teaching. The development of artificial intelligence has opened the way to personalized training, automation of administrative tasks and the introduction of innovative training methods. The purpose of the study was to analyze the practical aspects of using artificial intelligence in higher education institutions of Ukraine. It was determined that artificial intelligence is an organized set of information technologies, which makes it possible to perform complex complex tasks. There are three main categories of artificial intelligence: narrow-spectrum artificial intelligence, or Artificial Narrow Intelligence, general artificial intelligence, or Artificial General Intelligence, and artificial superintelligence, or Artificial Super Intelligence. The main educational services provided by artificial intelligence in institutions of higher education are the development and conduct of lectures, seminars and practical classes; teacher counseling; creation of educational programs and electronic courses; development of tasks and simulation of their solution; conducting various educational events; evaluation of the works of education seekers. Some examples of the use of artificial intelligence, in particular chatbots, in the higher education of Ukraine are analyzed and their potential for improving the educational process and forming professional skills is emphasized. An example of the use of GPT-3.5 in the Luhansk Educational and Scientific Institute for teaching foreign languages is presented. Such applications based on artificial intelligence as Thinkster and Duolingo and the main aspects of their use by students of higher education are characterized. Recommendations are provided for the successful implementation of artificial intelligence technologies in higher education.

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

Cybersecurity Strategy in Financial Application Systems in the Era of Industrial Revolution 4.0

In the Industrial Revolution 4.0 era, the development of information technology has had a significant impact on financial application systems. Along with these advances, cybersecurity risks are also increasing. This journal aims to investigate and analyze effective cyber security strategies in financial application systems in the Industrial Revolution 4.0 era. This research methodology uses a quasi-qualitative research method. Through in-depth interviews, observations, and engaging in-depth literature surveys to understand current trends in cyber security, their application to the financial sector, cybersecurity challenges in financial application systems, and cyber security strategies. The research results show that robust cybersecurity requires a holistic approach includes protection of sensitive data, proactive threat monitoring and detection and efforts to increase security awareness among users and stakeholders. The implementation of artificial intelligence technology and big data analysis was also found to play an important role in improving the effectiveness of cybersecurity strategies. These findings contribute to further understanding of the cyber security strategies needed to maintain the integrity and sustainability of financial application systems in the Industrial Revolution 4.0 era. The practical implications of this research include guidance for financial organizations in developing and strengthening cybersecurity strategies to address evolving threats in the digital world

Sosialisasi Artifical Intelligence Menuju Smart Government Untuk Kelompok Pkk Rw 06 Tegal Parang Mampang

The rapid advancement of Artificial Intelligence (AI) technology has significantly impacted industries and government sectors during the fourth industrial revolution. AI offers the potential to simplify and streamline public service delivery, enabling governments to enhance service quality, build public trust, and improve efficiency. In Indonesia, the Women's Empowerment Family Welfare Movement (PKK) plays a crucial role in promoting women's participation in national development. As partners to village and sub-district governments, PKK supports population management and regional development. In line with its commitment to Community Service, Nusa Mandiri University organized the Socialization of Artificial Intelligence Towards Smart Government for PKK RW 06 Tegal Parang Mampang. The main objective of this activity was to inform the management of PKK RW 06 about the benefits and implementation of AI technology in achieving smart government and enhancing PKK's services and activities. The socialization event, attended by 12 participants, was conducted in a hybrid format, combining face-to-face meetings and digital technology. The participants exhibited great enthusiasm in grasping the material and actively engaging in interactive Q&A sessions. As a result of the socialization, participants demonstrated an improved understanding of AI's applications in smart government. To maximize the future impact of community service activities, it is recommended to develop more comprehensive materials, provide continuous training, engage additional partners, and conduct regular evaluations and improvements. By taking these steps, community service initiatives can generate greater benefits for participants and the wider community

Building and predicting a neural network in python

The article examines the practical implementation of Artificial Intelligence technologies, Machine Learning and Deep Learning technologies. Methods of construction and prediction of neural networks are considered using special libraries of Python language. Linear regression and NumPy it is suggested to use libraries.

The impact of artificial intelligence on Ukrainian medicine: benefits and challenges for the future

The worldwide trend of digitisation across all aspects of society necessitates a fresh approach to the management system in the healthcare sector of Ukraine. The use of artificial intelligence (AI) tools in medicine opens up opportunities for transforming the healthcare sector by creating an effective and personalised approach to medical services. Aims: The purpose of the study was a comprehensive analysis of the current role of artificial intelligence in Ukrainian medicine and the projected future impact of its development. Methodology: The work was completed by utilising several common scientific methods of cognition: logical and structural analysis, abstraction, comparison, induction, and deduction, as well as concretisation and formalisation. Results The benefits resulting from the active implementation of artificial intelligence technologies in medicine were analysed and evaluated in the article. The risks that will accompany the further rooting of AI in medical information systems were identified and a number of appropriate preventive measures were proposed. The experience of developed countries in the transformation of medicine through the use of artificial intelligence capabilities was studied. The feasibility and prospects of using AI technologies in various areas of healthcare were analysed. A number of tools and technologies were proposed to ensure an adequate level of security and protection of personal information. Scientific Novelty: The principles for adapting the existing algorithms of the medical industry in Ukraine to meet the requirements of digitalisation have been formulated, the expediency of transformation in this area was substantiated. Conclusion: It was substantiated that the increasing utilisation of artificial intelligence enables the ability to produce precise and efficient decisions within intricate analytical procedures. The results of the study may be of practical value for the process of optimising the modern medical industry in Ukraine in the context of globalisation of the introduction of artificial intelligence technologies.

Artificial Intelligence Based Decision Support System for Education Management in Higher Education

Universities face challenges in improving the effectiveness of lecturer performance evaluation to support education and research development. Artificial Intelligence (AI) offers the potential to optimize the evaluation process through automation, big data analysis, and smarter decision-making. This research aims to identify and implement strategies for the implementation of artificial intelligence in lecturer performance evaluation systems in higher education. The main focus is to improve the objectivity, accuracy, and efficiency of the evaluation process, so as to provide more meaningful feedback to lecturers. This research uses qualitative and quantitative approaches. Data were obtained through literature studies, interviews with education and technology experts, and analysis of existing lecturer performance evaluation data. An AI system was developed to process and analyze evaluation data by utilizing machine learning algorithms to provide more accurate evaluation recommendations. The result of this research is that implementing artificial intelligence in the lecturer performance evaluation system succeeded in improving the accuracy of the evaluation. The system is able to provide recommendations for lecturer development based on a thorough analysis of their performance. In addition, the time efficiency of the evaluation process was also significantly improved. The conclusion of this study shows that artificial intelligence implementation strategies can be successfully applied in lecturer performance evaluation systems in higher education. With increased objectivity, accuracy, and efficiency, this system makes a positive contribution to human resource management in the academic environment. It also encourages further implementation of AI technology in lecturer performance evaluation to improve the quality of higher education.

The future implementation of artificial intelligence technology in esophageal surgery

The future implementation of artificial intelligence technology in esophageal surgery

Artificial intelligence and machine learning applications in forest management and biodiversity conservation

The recent progress in data science, along with the transformation in digital and satellite technology, has enhanced the capacity for artificial intelligence (AI) applications in the forestry and wildlife domains. Nevertheless, the swift proliferation of developmental projects, agricultural, and urban areas pose a significant threat to biodiversity on a global scale. Hence, the integration of emerging technologies such as AI in the fields of forests and biodiversity might facilitate the efficient surveillance, administration, and preservation of biodiversity and forest resources. The objective of this paper is to present a comprehensive review of how AI and machine learning (ML) algorithms are utilized in the forestry sector and biodiversity conservation worldwide. Furthermore, this research examines the difficulties encountered while implementing AI technology in the fields of forestry and biodiversity. Enhancing the availability of extensive data pertaining to forests and biodiversity, along with the utilization of cloud computing and digital and satellite technology, can facilitate the wider acceptance and implementation of AI technology. The findings of this study would inspire forest officials, scientists, researchers, and conservationists to investigate the potential of AI technology for the purposes of forest management and biodiversity conservation.

Educational Management Innovation by Utilizing Artificial Intelligence in Higher Education

Innovation in higher education is essential to align teaching with technological developments. The use of artificial intelligence (AI) offers great potential to improve education management in higher education through optimizing the teaching and learning process. This research aims to explore how the integration of artificial intelligence in education management can improve the efficiency, effectiveness, and quality of students' learning experience in higher education. The research method includes a comparative analysis between conventional education management systems and systems that utilize artificial intelligence, as well as the implementation of AI technology in the decision-making process in higher education. The results show that the application of artificial intelligence can improve the ability of prediction, data analysis, adaptation, and personalization in curriculum management, student performance evaluation, and the provision of learning resources tailored to individual needs. Artificial intelligence in education management in higher education has opened up various opportunities. Artificial intelligence enables personalization of learning. In addition, the use of artificial intelligence in administration has also improved the efficiency of resource management and administrative processes. The conclusion of this study states that the utilization of artificial intelligence in educational management in higher education can bring about positive changes. By effectively utilizing artificial intelligence technology, universities can improve students' learning experience and optimize administrative efficiency, better preparing students for future challenges. It can also manage education in higher education to create a more adaptive, responsive, and innovative learning environment, which in turn can improve the overall quality of higher education.

The artificial intelligence: Prospects for development and problems of humanization

The research explores the main problems associated with the development and implementation of artificial intelligence technologies in human activities, as well as with the humanization of these technologies. In a broad sense, artificial intelligence is a set of algorithms and software systems that can solve some problems the way a person would do and differ in that they are amenable to learning. An analysis of the problems of introducing artificial intelligence technologies makes it possible to substantiate the main levers of state policy aimed at the development and integrated use of digital intelligent systems. The success of the introduction and dissemination of artificial intelligence technologies largely depends on the effectiveness of state regulation of this sphere, both at the state and supranational levels. The development of machine learning systems must necessarily include an ethical aspect and some restrictions, otherwise the rapid development of intelligent machines can lead to the collapse of human civilization. To avoid such a development of events, it is necessary to create a supranational system for regulating artificial intelligence. Thus, the object of study of this article is the use of artificial intelligence systems in various fields of human activity. The authors use content analysis, systemic, adaptive and synergistic methods. In addition, the authors apply modern statistics, empirical generalization and grouping.

Analysis of Artificial Intelligence Machine Learning Technology for Mapping and Predicting Flood Locations in Pahlawan Batu Bara Village

This research proposes the application of artificial intelligence technology, especially machine learning, to improve flood predictions. Flooding is a serious threat that can cause major losses to society and the environment. In an effort to overcome this problem, machine learning methods are used to analyze historical data related to weather, rainfall, topography, drainage systems and other factors that influence the occurrence of floods. Machine learning algorithms such as neural networks, decision trees, and other models to predict the potential for flooding in an area. Data collected from weather sensors, satellite maps and other data sources is used to train the model so that it is able to identify patterns that lead to flooding conditions. The research results show that the machine learning approach is able to increase the accuracy of flood predictions with a better level of reliability compared to traditional methods. The implementation of artificial intelligence technology in flood prediction has great potential to provide early warning to the public and authorities, thereby reducing the negative impacts caused by flood disasters. It is hoped that this research can become the basis for developing a more effective early warning system in dealing with the threat of flooding in the future.

Some aspects of the application of artificial intelligence for the recovery and development of Ukraine

The relevance of the study lies in the fact that in the current conditions of geopolitical instability and rapid technological advancement, the use of artificial intelligence becomes an integral part of the country's development strategy. These technologies offer new opportunities for enhancing the defense, education, industry, science, medicine, and social welfare sectors. Considering this potential is crucial for implementing effective strategies for the recovery and development of Ukraine amidst modern challenges. Therefore, the aim of the study is a systemic analysis of the possibilities of applying artificial intelligence in key societal areas to identify strategic directions that will contribute to the recovery and further development of Ukraine. In particular, the research encompasses the realms of defense, education, industry, science, medicine, and social sphere. The results of this analysis serve as a basis for developing specific recommendations for the optimal implementation of artificial intelligence technologies in Ukraine, taking into account the specific conditions and needs of the country. The paper proposes concrete strategies and recommendations aimed at the optimal integration of these technologies into Ukrainian practice. Furthermore, the research considers the specific conditions and needs of Ukraine, making it practically applicable. These are important aspects in ensuring the reliability and security of artificial intelligence utilization in Ukraine. Overall, this work opens new horizons for the use of artificial intelligence in modern Ukraine, offering specific ways to improve the defense, education, industry, science, medicine, and social welfare sectors through the effective utilization of these technologies

Уязвимость культурных кодов как угроза существования цивилизации

The article deals with the consequences of the vulnerability of cultural codes as an actual threat to the existence of human civilization with the uncontrolled and unreasonable use of artificial intelligence. Positive as well as negative options for the interaction of artificial intelligence with cultural codes that level the understanding of the basic universals of human behavior, communication, and activity are analyzed. The influence of the human factor on the use of acquired skills by strong artificial intelligence in non-standard conditions, the responsibility of a particular specialist for the quality and quantity of input data under the influence of his gender, confessional, national, racial, cultural and linguistic characteristics, leading the system to erroneous actions and conclusions, are investigated. The negative consequences of an uncritical perception of reality, the inability of a modern person to distinguish content from fakes that are becoming massive, replacing the existing reality, used for unseemly and criminal purposes are considered. The necessity of state regulation of the ethical behavior of business engaged in the development and implementation of artificial intelligence technologies, the establishment of ethical behavior standards in this innovative area, the signing of the Code of Ethics of Artificial Intelligence, adopted by representatives of leading domestic companies, are substantiated. The practical implementation of the areas of training of highly qualified IT specialists presented in it at universities, the system of additional education with the acquisition of demanded professions of specialists in data analysis and processing, ensuring the operation of corporate information systems, data analysis in the field of education, programmers, including at the Saratov National Research State University named after N.G. Chernyshevsky, Saratov State University of Genetics, Biotechnology and Engineering named after N. I. Vavilov.

Examining the Implementation of Artificial Intelligence in Early Childhood Education Settings in Ghana: Educators’ Attitudes and Perceptions towards Its Long-Term Viability

Artificial Intelligence (AI) has witnessed significant advancements in recent years, with potential applications in various sectors, including education. Early childhood education (ECE) is a critical stage that lays the foundation for a child’s future development and learning. This study aims to explore the attitudes and perceptions of educators in Ghana towards implementing AI in ECE settings, focusing on its long-term viability. The research employs a qualitative approach, utilising interviews and focus group discussions to gather data from educators in selected ECE settings across four (4) early childhood settings in Ghana. The study investigates eight (8) educators’ experiences, concerns, and expectations regarding integrating AI technologies into their teaching practices. It explores the factors influencing their attitudes towards AI, including familiarity with the technology, pedagogical beliefs, cultural context, and training opportunities. Preliminary findings indicate a diverse range of perspectives among educators towards AI implementation in ECE settings. Some educators perceive AI as promising for enhancing teaching and learning experiences, providing personalised instruction, and facilitating early childhood development. They recognise the potential benefits of AI in supporting cognitive, social, and emotional growth among young learners. Concerns are expressed regarding the implications of AI on human interaction, child privacy, and the role of educators in fostering holistic development. This study contributes to the emerging field of AI in education by examining the context of ECE in Ghana. The findings informed policymakers, educational institutions, and AI developers about the perceptions and concerns of educators, ultimately guiding the development and implementation of AI technologies in a manner that aligns with the needs and aspirations of the Ghanaian ECE community.

Artificial Intelligence in Criminalistics and Forensic Examination: Issues of Legal Personality and Algorithmic Bias

Active development and implementation of artificial intelligence technologies (AI) in various spheres of human activity have started the processes of qualitative change in public relations. This fact necessitates the development of legal and technical standards to regulate AI technologies. In this regard, the most controversial issue is the recognition of AI personality. The analysis of various opinions on the matter shows the lack of a consolidated approach in the existing legal doctrine. Creating the legal status for AI systems would provide for several options depending on its type and purpose – from technical means to the status of an “electronic personality” and recognition as a full-fledged subject of law. Considering the specifics of criminalistics and forensic examination, it is better to position AI systems as technical means. Machine learning is considered a form of AI. It is the use of mathematical data models that enables computer training through specialized algorithms and training data. Algorithms can create or reproduce distortions and inaccuracies unintentionally embedded in the training data, which causes the manifestation of algorithmic bias. To eliminate bias of algorithms it is necessary to pay attention to the quality of training data. The author has developed special methods to prepare such data, which are presented in this article in relation to ballistic identification systems. Also, one of the elements of system technical solutions to the problem of bias of AI algorithms is the development of standards for minimizing unjustified bias in algorithmic solutions.

Implementasi Artificial Intelligence (AI) di Bidang Pendidikan Kejuruan Pada Era Revolusi Industri 4.0

Artificial Intelligence (AI) is a concept closely related to technological advancements in the era of Industry 4.0 and Society 5.0. AI can be described as a computer program that involves integrated machine learning, hardware, and software components. This concept of AI is inspired by the neocognitron patterns in the human brain and utilizes knowledge from hardware and software to fulfill its functions. With the progress of Industry 4.0, AI has been widely employed in various fields, including vocational education. The aim of this research is to elucidate the role of AI in vocational education during the Industry 4.0 era, utilizing qualitative research methods. In the context of vocational education, AI is used to personalize learning for each learner. AI systems assist in creating customized learning profiles, such as practical exercises, for individual learners. This enables the adaptation of learning materials to align with the abilities, learning styles, and experiences of each learner. The implementation of AI technology in vocational education is considered to be helpful and facilitates the tasks of educators, particularly in administrative aspects such as assessment and determining final grades based on applicable weights and evaluations. Additionally, AI technology can also create more active and interactive learning experiences, thereby facilitating the teaching and learning process for both educators and learners to achieve their goals.

The Impact of Artificial Intelligence on Contemporary Art: Opportunities and Challenges

The purpose of the article is to examine innovative artificial intelligence technologies that allow for the independent creation of artistic images. The research methods are based on a systematic approach to studying the problem of application and implementation of artificial intelligence technologies in artistic practices. The scientific novelty of the obtained results lies in actualizing the problem of using artificial intelligence technologies in the sphere of culture and art, and in establishing the symbiosis of artificial intelligence technologies in artistic practices. The use of machines to create works of art is rapidly gaining popularity, and the transition to practical implementation is underway. Today, it is possible to train artificial intelligence in artistic practices. This applies to simplifying the process of creating samples for the general public and applying it to restoration, renovation, and fundamentally new ways and opportunities for professional artists and designers. Artificial intelligence is used in the arts to create works of art, analyze and interpret art, and interact with viewers. Conclusions. The ways of using artificial intelligence in artistic practice have been analyzed. By analyzing examples of the use of this technology in the visual arts, the basic principles of working with artificial intelligence have been identified. The existing methods of working with images using artificial intelligence and some platforms and programs that allow creating visualizations using artificial intelligence are considered. Some advantages and disadvantages of using artificial intelligence tools in the arts have been highlighted. In particular, the benefits include new opportunities, automation, speed and accuracy, and a wide range of possibilities. Among the disadvantages of using artificial intelligence tools in art are the lack of individuality, uncertainty of results, and the inability of art to interact with the viewer. It has been stated that artificial intelligence and the artist are co-authors in the field of art.

Artificial intelligence in justice: legal and psychological aspects of law enforcement

The subject. Artificial intelligence is considered as an interdisciplinary legal and psychological phenomenon. The special need to strengthen the psychological component in legal research of artificial intelligence and its introduction into the practice of law enforcement and justice, in particular, is substantiated.The maingoal of the study is to confirm or refute hypothesis that AI may be implemented in justice and to substantiate the legal limits of such implementation.The methodology.Based on the comparison of the current legislation, the practice of its application, and other empirical data, internal and external legal and psychological factors of legal regulation and the use of artificial intelligence in jurisprudence and judicial proceed- ings are identified.The main results,scope of application. The analysis of legal and doctrinal definitions of artificial intelligence in jurisprudence has shown that their defining and integral part is relationships that are the result of psychological practices and the subject of psychological science (internal factors). Legal studies of artificial intelligence are based on a psychological conceptual apparatus, all of them legally describe artificial intelligence, first of all, as a psychological phenomenon and build an analogy between the psychology of a living intelligent subject and an inanimate object, humanizing the latter. The federal legislator is also following the path of using the psychological conceptual apparatus. Such categories like human cognitive functions and intellectual activity are applied in Russian Federal Law "On conducting an experiment to establish special regulation in order to create the necessary conditions for the development and implementation of artificial intelligence technologies in the subject of the Russian Federation - the federal city of Moscow and amending Articles 6 and 10 of the Federal Law "On Personal Data". The legal and psychological analysis of the practice of using elements of artificial intelligence in corporate governance, justice, labor relations, social insurance, electoral procedures has been subjected.The conclusionis substantiated that an indispensable condition for the introduction of arti- ficial intelligence and its elements into justice is trust on the part of the disputing parties and the court. Such trust is provided with a real possibility of verifying the actions and decisions made with artificial intelligence by psychologically acceptable and legally formalized methods (external factors). The use of artificial intelligence in law enforcement in general and justice in particular is possible in two directions: (1) solving problems related to the approximation of specialized artificial intelligence systems in legal proceedings to human capabilities and their integration to enhance intelligence; (2) creating artificial intelligence, which is the integration of already created elements of artificial intelligence into a single system capable of participating in justice, but does not have the properties of free will and does not acquire legal personality. Law enforcement using artificial intelligence should comply with the principles enshrined in the European Ethical Charter on the Use of Artificial Intelligence in Judicial Systems and their environment, the provisions of which should be implemented in domestic legislation, having previously been revised in accordance with the national legal tradition.