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Journal articles on the topic 'Artificial Intelligence (AI) Technologies'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

ALBAYRAK, Berkman, Gökhan ÖZDEMİR, Yeşim ÖLÇER US, and Emir YÜZBAŞIOĞLU. "Artificial Intelligence Technologies in Dentistry." Journal of Experimental and Clinical Medicine 38, SI-2 (2021): 188–94. http://dx.doi.org/10.52142/omujecm.38.si.dent.18.

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One of the most important actors in the digitization process of our age has been the applications of artificial intelligence (AI). While the weak and strong AI sub-concepts and the different AI models within them are being utilized in many fields such as education, industry and medicine today, the interest of the dentistry field, which has started its integration into the digital world with CAD/CAM technology, in AI is increasing day by day. In different branches of dentistry; AI provides services to clinicians and researchers in many fields such as disease diagnosis, evaluation of the occurre

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Avetisyana, A. I. "Trusted artificial intelligence." Вестник Российской академии наук 94, no. 3 (2024): 200–209. http://dx.doi.org/10.31857/s0869587324030039.

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In this paper we discuss the problem of creating trusted artificial intelligence (AI) technologies. Modern AI is based on machine learning and neural networks and is vulnerable to biases and errors. Efforts are made to establish standards for the development of trusted AI technologies, but they have not yet succeeded. AI technologies trust can only be achieved with the appropriate scientific and technological base and corresponding tools and techniques for countering attacks. We present the ISP RAS Trusted AI Research Center results and propose a work model that can ensure technological indepe

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Turdaliyevna, Berdiyeva Barno. "USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN LANGUAGE TEACHING." International Journal Of Literature And Languages 4, no. 11 (2024): 35–39. http://dx.doi.org/10.37547/ijll/volume04issue11-08.

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This article examines the role of artificial intelligence (AI) technologies in language teaching, exploring their applications, benefits, and limitations. It provides an overview of how AI-driven tools, such as automated speech recognition systems, adaptive learning platforms, and intelligent feedback mechanisms, enhance linguistic skills like pronunciation, writing, and grammar. The findings highlight measurable improvements in learner outcomes, increased engagement, and the potential for personalized instruction.

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Petrović, Miroslav, Dušan Mladenović, and Mladen Nedeljkov. "Artificial Intelligence on the Road or Road to Artificial Intelligence?" Put i saobraćaj 71, no. 2 (2025): 27–34. https://doi.org/10.31075/pis.71.02.05.

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Artificial intelligence (AI) is last years the hottest buzzword, started from the world of information technologies and spreading across various areas of everyday activities where it can be applied. However, reality is that AI is with us for the longer time than we initially think of. In this paper we explain foundations and definitions of AI, followed by comparation of AI applied in transport, called Intelligent Transportation Systems (ITS). Main areas of state of the art AI-based technologies in road transport and traffic applications, already in use or ready to be used, are presented. At th

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Ledziński, Łukasz, and Grzegorz Grześk. "Artificial Intelligence Technologies in Cardiology." Journal of Cardiovascular Development and Disease 10, no. 5 (2023): 202. http://dx.doi.org/10.3390/jcdd10050202.

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As the world produces exabytes of data, there is a growing need to find new methods that are more suitable for dealing with complex datasets. Artificial intelligence (AI) has significant potential to impact the healthcare industry, which is already on the road to change with the digital transformation of vast quantities of information. The implementation of AI has already achieved success in the domains of molecular chemistry and drug discoveries. The reduction in costs and in the time needed for experiments to predict the pharmacological activities of new molecules is a milestone in science.

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S, Suresh, and Sasidharan C |. "Artificial Intelligence." International Scientific Journal of Engineering and Management 04, no. 03 (2025): 1–7. https://doi.org/10.55041/isjem02419.

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Artificial Intelligence (AI) is a rapidly evolving field that aims to create systems capable of performing tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, and language understanding. AI is categorized into narrow AI, which is designed for specific tasks like speech recognition and image processing, and general AI, which aspires to replicate human cognitive abilities across various domains. AI technologies, including machine learning, deep learning, and natural language processing, have significantly impacted industries such

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PANDEY, SHIVAM, and BANSI KANERIA. "Collision Between Military Artificial Intelligence and Civilian Artificial Intelligence." IOSR Journal of Computer Engineering (IOSR-JCE) 25, no. 06 (2023): 38–48. https://doi.org/10.5281/zenodo.10206091.

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The evolving terrain of Artificial Intelligence (AI) exhibits a dichotomous storyline as it diverges into the realms of military and civilian applications, each following its own unique path while becoming progressively interconnected. This research paper provides a critical analysis of the intersection between military artificial intelligence (AI), which is primarily focused on strategic defence purposes, and civilian AI, which primarily seeks to improve quality of life and economic productivity.1 This paper undertakes a thorough examination of contemporary advancements, regulatory structures

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GHOSH, Sukti. "Organising for Artificial Intelligence (AI) technologies." Japan Social Innovation Journal 8, no. 1 (2019): 1–19. http://dx.doi.org/10.12668/jsij.8.1.

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Aizenberh, Tetiana. "Artificial intelligence technologies in international management." University Economic Bulletin 19, no. 1 (2024): 34–43. http://dx.doi.org/10.69587/ueb/1.2024.34.

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The study aims to investigate the effectiveness of artificial intelligence (AI) and determine its impact on the management processes of international companies. A methodology was created to optimise international business processes, including introducing AI to improve management efficiency, automate strategic planning, and analyse market data and forecast trends. The study addressed various aspects of AI technologies in international management, covering key areas such as business process automation, document processing, inventory management, logistics, customer communications, analytics and f

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Israilova, Dilkhumor Sherzod kizi. "ARTIFICIAL INTELLIGENCE IN EDUCATION." Journal of Universal Science Research "ZAMONAVIY TILSHUNOSLIK VA TARJIMASHUNOSLIKNING DOLZARB MUAMMOLARI" mavzusidagi xalqaro ilmiy-amaliy anjuman 3, no. 4 (2025): 440–44. https://doi.org/10.5281/zenodo.15312784.

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The COVID-19 pandemic has accelerated the integration of online and hybrid teaching strategies. Educators began adopting artificial intelligence (AI) tools to support student learning outcomes. However, these technologies were unfamiliar to many, highlighting a need for teachers to acquire digital competencies that align with AI integration.This study discusses the challenges and possibilities presented by AI in education.

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Daisy, Anjali. "Artificial Intelligence." International Journal of Social Ecology and Sustainable Development 13, no. 1 (2022): 1–9. http://dx.doi.org/10.4018/ijsesd.292075.

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Artificial Intelligence (AI) is gradually changing the practice of surgery with the advanced technological development of imaging, navigation, and robotic intervention. In this article, the recent successful and influential applications of AI in surgery are reviewed from pre-operative planning and intra-operative guidance to the integration of surgical robots. It ends with summarizing the current state, emerging trends, and major challenges in the future development of AI in surgery. Robotic surgery is the use of computer technologies working in conjunction with robot systems to perform medica

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Avdoshin, S. M., E. Y. Pesotskaya, and K. A. Patrushev. "Technologies of Trusted Artificial Intelligence." Informacionnye Tehnologii 30, no. 8 (2024): 400–410. http://dx.doi.org/10.17587/it.30.400-410.

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With the development of artificial intelligence (AI) systems, their popularity is growing. Such systems are used in many areas, from customer analytics and search engines to voice assistants and medical research. The tasks assigned to the systems are becoming more and more complex, and therefore artificial intelligence often needs to operate on confidential data; the results of the system's operation can have large-scale consequences. This creates a new problem: the problem of trusted artificial intelligence. The authors set the goal of systematizing knowledge about possible threats and vulner

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KOROL, Svitlana, and Olha ROMASHKO. "Artificial intelligence in accounting." Scientia fructuosa 154, no. 2 (2024): 145–57. http://dx.doi.org/10.31617/1.2024(154)08.

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Artificial Intelligence (AI) technologies open up broad horizons for enhancing business efficiency and advancing various professional domains, boosting their productivity and competitiveness. There is an active exploration of approaches to incorporating AI technologies in the accounting sphere, promising a seamless transition from human to machine involvement. The aim of this article is to summarize the acquired experience, identify perspectives, constraints, and risks associated with the use of AI technologies in the professional activities of accountants. The research is based on the hypoth

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Sheshadri, Thejasvi. "Artificial Intelligence in Industry 4.0." African Journal of Biological Sciences 6, no. 6 (2024): 2316–26. http://dx.doi.org/10.48047/afjbs.6.6.2024.2316-2326.

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Many industry sectors have been pursuing the adoption of Industry 4.0 (I4.0) ideas and technologies, which promise to realize lean and just-in-time production through digitization and the use of smart machines. This shift is driven by technological advances, including Artificial Intelligence (AI) and machine learning, sensor networks and Internet of Things technologies, cloud computing, additive manufacturing, and the availability of large amounts of data that can be exploited by these technologies. However, the adoption of AI technologies for I4.0 varies considerably among industry sectors. T

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NATASHA, ANJUM. "ARTIFICIAL INTELLIGENCE." GPH - International Journal Of Computer Science and Engineering 07, no. 01 (2024): 01–11. https://doi.org/10.5281/zenodo.10628529.

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<strong>This research paper provides a comprehensive examination of the evolution and impact of artificial intelligence (AI) across various domains. The study delves into the historical development of AI, tracing its origins from classical rule-based systems to the contemporary era of machine learning and deep neural networks. The paper explores the key technological advancements that have propelled AI research, discussing breakthroughs in natural language processing, computer vision, and reinforcement learning. This study's paper offers a nuanced exploration of the present-day state and futur

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Chesnokova, E. V., A. I. Usov, G. G. Omel’yanyuk, and M. V. Nikulina. "Artificial Intelligence in Forensic Expertology." Theory and Practice of Forensic Science 18, no. 3 (2023): 60–77. http://dx.doi.org/10.30764/1819-2785-2023-3-60-77.

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The article reviews the issues of studying the capabilities and areas of application of artificial intelligence technologies (AI) in forensic expertology as a science of forensic examination and forensic expert activity. The authors have developed the criteria for choosing the direction for the introduction of AI in the system of forensic expertology, and specifically in its innovative section – the management system of forensic expert activity.The prospects for the development of AI technologies in forensic examination are associated with the processing of big data based on the expert situati

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Takama, Yasufumi. "Web Intelligence and Artificial Intelligence." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 1 (2017): 25–30. http://dx.doi.org/10.20965/jaciii.2017.p0025.

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This paper briefly summarizes the progress of artificial intelligence (AI) and web intelligence (WI) in the last two decades. The reason why we mention AI and WI together is because those have strong relationship with each other. This paper first summarizes the history of AI, and then gives brief description of supervised learning, which I think has played a major role in AI in the last two decades. As most history of WI is in the target decades, this paper first briefly describes major WI topics, and then gives more detailed description about information recommendation, which I think one of m

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Jurewicz, Mateusz, Natacha Klein Kafer, and Esben Kran. "Artificial Intelligence and Privacy." Privacy Studies Journal 3 (May 20, 2024): 1–32. http://dx.doi.org/10.7146/psj.v3i.143099.

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Modern Artificial Intelligence (AI) technologies have a rapidly growing impact on a wide range of human activities. AI methods are being used in varied domains such as healthcare, material science, infrastructure engineering, social media, surveillance technologies, and even artistic expression. They have been used for the purposes of drug discovery via protein folding prediction, power usage optimization through reinforcement learning, and facial recognition by means of image segmentation. Their effectiveness and wide-scale, unregulated deployment within our societies pose significant risks t

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Kumar, Anikesh, and Gopal Krishna Sharma. "Artificial Intelligence Technologies Combating against COVID-19." Dev Sanskriti Interdisciplinary International Journal 16 (July 31, 2020): 56–60. http://dx.doi.org/10.36018/dsiij.v16i.164.

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Artificial Intelligence (AI) is one of the most useful technologies during COVID19 pandemic. In this current situation, AI played a vital role in various and different sector from an infected patient to the economy-wide. A wide range of examples are available for how AI tackled with COVID19 and is helping during the pandemic around the world. During this pandemic time, large to small companies have been developing new AI approaches such as droids, machine, software and gadgets in embracing fight against COVID19 pandemic. The present study reviews application of AI and how it has supported in t

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Swain, Santosh Kumar. "Artificial Intelligence in Otorhinolaryngology." Annals of Indian Academy of Otorhinolaryngology Head and Neck Surgery 7, no. 2 (2023): 19–24. http://dx.doi.org/10.4103/aiao.aiao_9_23.

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Abstract Artificial intelligence (AI) is most likely to have a significant influence on medical research and clinical practice in the near future. Common uses of AI in health care include diagnosis of disease, complete drug research, and development, improved clinician–patient communication, transcription of medical records like prescriptions, and remote patient treatment. The search strategy was made with keywords of AI and otorhinolaryngology on Medline, Scopus, PubMed, and Google Scholar databases, and full-text articles available were reviewed. This review article is focused on the use of

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Obidovna, Djalilova Zarnigor. "THE PEDAGOGICAL-PSYCHOLOGICAL ASPECTS OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN INTEGRATIVE EDUCATION." International Journal Of Literature And Languages 4, no. 3 (2024): 13–19. http://dx.doi.org/10.37547/ijll/volume04issue03-03.

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This study examines the pedagogical and psychological implications of integrating artificial intelligence (AI) technologies into education. As AI technologies become more prevalent in educational settings, it is crucial to understand their impact on teaching and learning processes from both pedagogical and psychological perspectives. This paper explores how AI tools influence teaching methods, student engagement, learning outcomes, and the overall educational environment. Additionally, it investigates the psychological effects of AI integration on students, educators, and educational stakehold

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Pashkova, Nataliya V., and Maxim V. Vesnyanov. "Ethical issues in using artificial intelligence technologies." Alma mater. Vestnik Vysshey Shkoly, no. 1 (January 2024): 107–10. http://dx.doi.org/10.20339/am.01-24.107.

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The article discusses the ethical aspects associated with the use and development of artificial intelligence technologies. With the development of AI, problems arise that affect various areas of human life, including ethics, economics, medicine, education and others. Analyzes key ethical issues such as the autonomy of AI decision-making; determining who is responsible for damage caused by AI; transparency and data protection, as well as issues of inequality and the potential social consequences of AI. Our task was to identify the main ethical issues related to the use of artificial intelligenc

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Pirmatov, A., B. Azimov, and S. Kamalov. "Artificial Intelligence Using Python: Technologies and Applications." Bulletin of Science and Practice, no. 11 (November 15, 2023): 288–95. http://dx.doi.org/10.33619/2414-2948/96/37.

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This article explores the significant role of Python in the development and application of artificial intelligence (AI). It covers fundamental AI concepts such as neural networks, machine learning, and deep learning, as well as key Python libraries used in this field. A brief overview of the history of AI is provided, starting from its early concepts and progressing to modern achievements. Python is regarded as the primary tool in AI development, and popular libraries and frameworks like TensorFlow, PyTorch, and scikit-learn are introduced. The article includes specific code examples and demon

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Malikov, A. "ARTIFICIAL INTELLIGENCE TECHNOLOGIES IMPLEMENTATION IN BUSINESS PROCESSES." Scientific heritage, no. 157 (March 25, 2025): 23–25. https://doi.org/10.5281/zenodo.15085475.

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The article analyzes the role of artificial intelligence (AI) technologies in optimizing business processes. The impact of AI on key business areas such as marketing, supply chain management, recruitment, financial and production processes is being investigated. The main advantages of using AI are explored, including increased efficiency, reduced costs and improved analytical capabilities. It is emphasized that, despite the significant advantages, the introduction of AI is associated with a number of challenges, such as high costs, the need for qualified personnel and risks associated with dat

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Kravchuk, Oksana, Iryna Varis, and Yaroslava Zavolovych. "Artificial intelligence in recruitment." Galician economic journal 92, no. 1 (2025): 106–13. https://doi.org/10.33108/galicianvisnyk_tntu2025.01.106.

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The discussion about using artificial intelligence (AI) in recruitment is becoming increasingly relevant in the context of automating and enhancing the efficiency of the candidate search and selection process. The study aims to explore and analyze the impact of AI technologies on recruitment processes and human resource management. The research employs general scientific methods of theoretical generalization and analysis, including analysis, synthesis, comparative analysis, induction, deduction, and generalization, to investigate various aspects of AI application in recruitment. The hypothesis

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Darwish, Ashraf. "Explainable Artificial Intelligence: A New Era of Artificial Intelligence." Digital Technologies Research and Applications 1, no. 1 (2022): 1. http://dx.doi.org/10.54963/dtra.v1i1.29.

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Recently, Artificial Intelligence (AI) has emerged as an emerging with advanced methodologies and innovative applications. With the rapid advancement of AI concepts and technologies, there has been a recent trend to add interpretability and explainability to the paradigm. With the increasing complexity of AI applications, their a relationship with data analytics, and the ubiquity of demanding applications in a variety of critical applications such as medicine, defense, justice and autonomous vehicles , there is an increasing need to associate the results with sound explanations to domain exper

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M., N. O. Sadiku, R. Nelatury S., and Musa S.M. "Artificial Intelligence in Industry." Journal of Scientific and Engineering Research 8, no. 2 (2021): 45–52. https://doi.org/10.5281/zenodo.10574946.

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<strong>Abstract </strong>Artificial intelligence (AI) refers to computer systems that mimic human cognitive functions. AI-driven systems can discover trends, reveal inefficiencies, and predict future outcomes.  These characteristics enable informed decision-making and AI to be potentially beneficial for many industries. Industrial AI deals with the application of AI technologies to address industrial issues such customer value creation, productivity improvement, cost reduction, site optimization, predictive analysis, and insight discovery.  This paper provides different applications

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Mobil Khankishiyeva, Leyla. "ARTIFICIAL INTELLIGENCE IN MILITARY." SCIENTIFIC WORK 59, no. 10 (2020): 105–9. http://dx.doi.org/10.36719/2663-4619/59/105-109.

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Considered to be the fourth Industrial Revolution, Artificial Intelligence (AI) has contributed to substantial economic growth in recent years and, as ever-increasing levels of investment and expertise are entering the sector, further growth is expected. The number of AI applications is bound to increase in the future. Businesses and academics have contributed to the growth of AI to date. Military implementations have lagged behind, but as these technologies mature, they will be used in a growing number of military systems. Military institutions around the world are looking forward to technolo

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Nabila, Ounasser, Rhanoui Maryem, Mikram Mounia, and El Asri Bouchra. "Abrief on artificial intelligence in medicine." International Journal of Advances in Applied Sciences (IJAAS) 13, no. 4 (2024): 1055–64. https://doi.org/10.11591/ijaas.v13.i4.pp1055-1064.

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This review explores the transformative impact of artificial intelligence (AI) in medicine. It discusses the benefits of AI, its core technologies, integration pro cesses, and diverse applications. AI enhances diagnostics, personalizes treat ments, and optimizes healthcare operations. Machine learning and deep learning are key AI technologies, while explainable AI ensures transparency. The review emphasizes the integration journey and highlights AI applications, from image diagnosis to telemedicine. Ethical concerns, data privacy, regulations, and algo rithmic bias are challenges. The future p

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Priyadarsini, A. R. Ida Sweetlin. "Artificial Intelligence: Applications in Nursing." Asian Pacific Journal of Health Sciences 9, no. 4 (2022): 318–20. http://dx.doi.org/10.21276/apjhs.2022.9.4.59.

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As in many areas of health-care delivery, nursing practice is being transformed by technological advances such as artificial intelligence (AI). Nurses play an integral role in health-care delivery system and it is essential for nurses to integrate these new technologies into practice. Nursing students, practicing nurses, nursing faculty, and nurse leaders need be aware of AI and its implications in nursing. This paper presents the significance of AI technologies application in health care specially nursing.

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Zhukov, Alexander O., Karine S. Khachaturyan, and Suren A. Khachaturyan. "ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR EFFECTIVE INVENTORY MANAGEMENT." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 6/3, no. 147 (2024): 283–87. http://dx.doi.org/10.36871/ek.up.p.r.2024.06.03.034.

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The article examines modern methods of applying artificial intelligence (AI), including machine learning and computer vision, in inventory management. Real-world examples of using regression models, time series, convolutional neural networks, and clustering algorithms for inventory optimization are described. Special attention is given to the role of autonomous mobile robots in enhancing warehouse operations, reducing costs, and improving safety. The impact of AI technologies on reducing operational risks, improving customer service, and maintaining enterprise competitiveness is analyzed. The

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Kumar, Pradeep, Nithiya S, Suguna A, and Kavitha K B. "Implementation of Artificial Intelligence in Education." International Research Journal of Computer Science 10, no. 05 (2023): 104–8. http://dx.doi.org/10.26562/irjcs.2023.v1005.01.

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Artificial intelligence in education (AIED) applications have been made easier to implement largely to the quick development of computing technologies. In order to improve teaching, learning, or decision-making, AIED refers to the employment of AI technology or application programmes in educational contexts. This study analyses every facet of the education sector's use of AI tools and technologies in great detail. The findings show how we may integrate AI development into these teaching, learning, student assistance, and management technologies. This study attempts to show how AI is being used

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Seema, Irshad, Azmi Shabana, and Begum Nurjahan. "Uses of Artificial Intelligence in Psychology." Journal of Health and Medical Sciences 5, no. 4 (2022): 21–30. https://doi.org/10.31014/aior.1994.05.04.242.

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Machine learning has a new landscape for humanity in the area of artificial intelligence (AI). Artificial intelligence (AI) approaches have recently been developed to support mental health professionals, primarily psychiatrists, psychologists, and clinicians, with decision-making based on patients' historical data (e.g., clinical history, behavioral data, social media use, etc.). This article reviews developments in artificial intelligence (AI) technologies and their current and potential applications in clinical psychological practice. Issues associated with AI in the context of clinical

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PATSIOMITOU, STAVROULA. "INVESTIGATING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN GENERATING LVAR." INTERNATIONAL JOURNAL OF RESEARCH IN EDUCATION HUMANITIES AND COMMERCE 05, no. 05 (2024): 194–217. http://dx.doi.org/10.37602/ijrehc.2024.5515.

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The current study emphasizes the significance of digital media and Artificial Intelligence (AI) in developing innovative approaches to concept introduction. The study centers on an educational experiment aimed at investigating AI technologies, including ChatGPT, Leonardo.AI, Lumen5.AI, and Pictory.AI, in the creation of Linking Visual Active Representations. This involves the integration of verbal text with both virtual static content and interactive video elements. Additionally, the study introduces the revised Bloom's taxonomy, which acts as a framework for evaluating the educational experim

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Yildirim, Yetkin, Emin Alp Arslan, Kamil Yildirim, and Ibrahim Bisen. "Reimagining Education with Artificial Intelligence." Eurasian Journal of Higher Education 2, no. 4 (2021): 32–46. http://dx.doi.org/10.31039/ejohe.2021.4.52.

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Artificial intelligence (AI) technologies have been implemented successfully in many industries, from virtual hospital assistants to algorithm-based warehouse processing. And now that Covid-19 has forced students and teachers to transition to online or hybrid learning, these technologies could offer new and exciting possibilities for education as well. By incorporating AI and machine learning tools into online classrooms, educators can address many of the challenges that have emerged with the recent loss of face-to-face instruction, including the struggle for students to self-regulate their le

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Papastratis, Ilias, Christos Chatzikonstantinou, Dimitrios Konstantinidis, Kosmas Dimitropoulos, and Petros Daras. "Artificial Intelligence Technologies for Sign Language." Sensors 21, no. 17 (2021): 5843. http://dx.doi.org/10.3390/s21175843.

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AI technologies can play an important role in breaking down the communication barriers of deaf or hearing-impaired people with other communities, contributing significantly to their social inclusion. Recent advances in both sensing technologies and AI algorithms have paved the way for the development of various applications aiming at fulfilling the needs of deaf and hearing-impaired communities. To this end, this survey aims to provide a comprehensive review of state-of-the-art methods in sign language capturing, recognition, translation and representation, pinpointing their advantages and lim

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Danielyan, N. V. "Social Character of Artificial Intelligence Technologies." Philosophical Problems of IT & Cyberspace (PhilIT&C), no. 2 (December 18, 2023): 18–32. http://dx.doi.org/10.17726/philit.2023.2.2.

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The article considers modern transformations of the ideas concerning subject’s cognitive abilities towards object because of the emergence and development of artificial intelligence (AI) technologies. The developments of scientists and engineers from National Research University of Electronic Technology (Moscow, Russia) in the field of artificial intelligence have been taken as a foundation and material of this research. Their analysis allows making a conclusion that the humanity is rather far from the realization of ‘strong artificial intelligence’. We need a qualitative breakthrough in AI ma

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Cherdantsev, V. P., T. M. Svechnikova та M. V. Tronina. "Аrtificial intelligence technologies in aquaculture". Problems of Fisheries 23, № 3 (2022): 171–78. http://dx.doi.org/10.36038/0234-2774-2022-23-3-171-178.

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The paper presents an overview of foreign practices of using artificial intelligence (AI) technologies in fish farming or aquaculture. It is noted how effective the management of a fish farm can become if there is access to new information that would have gone unnoticed without the use of artificial intelligence. Taking into account the fact that the pace of development of aquaculture in Russia is very insignificant and significantly lags behind foreign analogues, and also taking into account the active processes of digitalization of all spheres of the economy in our country, it seems that a r

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Zemtsov, S. P. "Geography of Artificial Intelligence Technologies in Russia." Regional Research of Russia 14, no. 4 (2024): 525–36. https://doi.org/10.1134/s2079970524600525.

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Abstract The geography of innovation makes it possible to identify spatial patterns of creation, implementation, and diffusion of new technologies, but with the development of communications, an illusion appeared that space is insignificant. In accordance with the aim of the study, the article shows that creation and implementation of artificial intelligence (AI) as one of the radical innovations cannot be widespread. It will be concentrated in centers with high innovation potential and specialized tacit knowledge, where the intensity of knowledge spillovers is higher. In Russia, an education

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Uygun, Derya, Işıl Aktaş, İsmail Duygulu, and Numan Köseer. "Exploring teachers' artificial intelligence awareness." Advances in Mobile Learning Educational Research 4, no. 2 (2024): 1093–104. http://dx.doi.org/10.25082/amler.2024.02.004.

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The impact of artificial intelligence (AI) technological advancements is reshaping various aspects of our daily lives, including education. Integrating AI in education offers advantages such as personalized learning and operational efficiency. However, educators need to be aware of AI's implications in education. Teachers must enhance their awareness and knowledge levels to adapt to the educational environment where AI technologies are becoming increasingly prevalent. Therefore, this research aims to assess teachers' AI awareness levels and investigate whether AI awareness varies based on age,

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KOÇ, Murat. "ARTIFICIAL INTELLIGENCE IN GERIATRICS." Turkish journal of Geriatrics 26, no. 4 (2023): 352–60. http://dx.doi.org/10.29400/tjgeri.2023.362.

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The increasing elderly population globally presents challenges in geriatric healthcare, including better resources, unmet healthcare needs, and sustainability of health and social security systems. Artificial intelligence (AI) is being used to address these challenges, with studies focusing on socially assistive robots, humanoid robots, and robotic pets in elderly care. This review aims to provide a comprehensive overview of the roles of artificial intelligence (AI) technologies in elderly healthcare by identifying the potential benefits and challenges in geriatric healthcare services. AI tech

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Varjushin, M. S. "Legal framework for artificial intelligence technologies in telemedicine." Russian Journal of Telemedicine and E-Health 7, no. 2 (2021): 18–22. http://dx.doi.org/10.29188/2712-9217-2021-7-2-18-22.

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Regulation of artificial intelligence (AI) technologies in healthcare are rapidly developing. Currently, medical organizations faced with the use of AI in conditions of insufficient legislation. There is an analysis of the AI’s legal aspects in the frame of distant interaction of doctors each other and with patients via telemedicine. Special recommendations for introducing and applying AI technologies in different modes given for medical organizations managers. The issue of civil liability for harm caused during the provision of medical care using AI technologies analyzed in detail.

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Palade, Marta, and George Carutasu. ""Organizational Readiness for Artificial Intelligence Adoption"." Scientific Bulletin of the Politehnica University of Timişoara Transactions on Engineering and Management 7, no. 1-2 (2023): 30–35. http://dx.doi.org/10.59168/fdms6321.

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Technology evolves with a rapid speed and organizations are facing the need to adopt AI technologies to keep up with innovation. Although new compared to other technologies, AI readiness adoption can and should be normalized under an existing model for digitization.

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Barve, Dr Manmeet, Ms Neelam Maske, and Ms Sakshi Singh. "Blockchain Intelligence: Where Blockchain Meets Artificial Intelligence." MET Management Review 08, no. 02 (2021): 57–63. http://dx.doi.org/10.34047/mmr.2020.8207.

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We're in the midst of a time of unparalleled digital disruption and transformation. The breakthrough technologies that are at the heart of digital disruption and transformation are artificial intelligence and blockchain. They have become most trending and unruly technologies. Blockchain is gaining extensive attention because of cryptocurrencies and also due to its provision of secure and decentralized resource sharing manner. AI, on the other hand, offers intelligence and decision-making capabilities for machines that are similar to humans. Both AI and blockchain, spreading at a phenomenal rat

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Int., J. Electr. Eng. And Sustain. "Artificial Intelligence in Computer Science." INT. J. ELECTR. ENG. AND SUSTAIN. 2, no. 2 (2024): 01–21. https://doi.org/10.5281/zenodo.13836932.

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Artificial Intelligence (AI) has emerged as a cornerstone of modern computer science, exerting a profound influence on diverse sectors of society. This article offers a comprehensive overview of the evolution and impact of AI in computer science. Beginning with its historical roots and development, the article traces AI's trajectory from its inception to its current state of advancement. Moreover, the article elucidates the techniques of AI in computer science, offering illuminating insights into a spectrum of methodologies including machine learning, deep learning, natural language processing

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Damar, Muhammet, Ahmet Özen, Ülkü Ece Çakmak, Eren Özoğuz, and F. Safa Erenay. "Super AI, Generative AI, Narrow AI and Chatbots: An Assessment of Artificial Intelligence Technologies for The Public Sector and Public Administration." Journal of AI 8, no. 1 (2024): 83–106. http://dx.doi.org/10.61969/jai.1512906.

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Artificial intelligence encompasses a wide range of approaches, methodologies, and techniques aimed at mimicking human intelligence in machines. In recent times, the concepts of Generative Artificial Intelligence (AI), Super AI, and Narrow AI have attracted considerable attention. Undoubtedly, the success of ChatGPT in capturing all attention has played a significant role in this. Artificial intelligence technology has a profound impact on all sectors, and sector representatives are striving to adapt to this technology more quickly. It is projected that artificial intelligence could generate a

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Müller, Dr Isabella, and Samuel Moyo. "UNLOCKING SYNERGIES: A FRAMEWORK FOR INTEGRATING ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN TECHNOLOGIES." International Journal of Intelligent Data and Machine Learning 2, no. 07 (2025): 6–10. https://doi.org/10.55640/ijidml-v02i07-02.

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The confluence of Artificial Intelligence (AI) and Blockchain technologies represents a transformative frontier, promising unprecedented advancements across diverse sectors. While AI offers unparalleled capabilities in data analysis, prediction, and automation, its reliance on centralized data often raises concerns regarding integrity, privacy, and trust. Conversely, Blockchain provides decentralized, immutable, and transparent record-keeping, addressing critical trust and security issues. This article proposes a conceptual framework for understanding and leveraging the synergistic integration

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Laschenov, M. S., R. A. Bondarenko та I. V. Slomova. "Emotional intelligence in management activities аnd artificial intelligence technologies". Digital Sociology 7, № 4 (2025): 44–52. https://doi.org/10.26425/2658-347x-2024-7-4-44-52.

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The article examines the role of emotional intelligence (emotional quotient) in the process of management activities and the competing position of artificial intelligence (hereinafter referred to as AI), which is trying to master it through learning algorithms and implementation in management practice. Approaches to teaching AI emotions are considered, problems of introducing AI technologies into management processes are systematised as well as prospects for their resolution. The relevance of the sociological study of emotions in the process of social management is justified by the growing tre

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Cuatrecasas, Carlota. "Legal Challenges of Artificial Intelligence (AI)." Global Privacy Law Review 1, Issue 1 (2020): 6–13. http://dx.doi.org/10.54648/gplr2020003.

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The world is undoubtedly changing, and the Law cannot be left behind, since it plays a crucial and challenging role in this new era. New technologies, especially Artificial Intelligence, have an enormous potential to increase the effectiveness and excellence of lawyers' work, although they can also pose a great threat to citizens’ rights. That is why it is essential to establish legal limits that both guarantee the respect of such rights and facilitate the promising evolution that is being experienced. Without doubts, there is a very interesting legal challenge to be faced. AI, new technologie

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Pavlyuk, Olha, Nataliia Parasiuk, Alona Dutko, Vasyl Parasiuk, and Oksana Stasiv. "Protection of patent law objects, created by artificial intelligence (AI) technologies." Revista Amazonia Investiga 10, no. 44 (2021): 230–40. http://dx.doi.org/10.34069/ai/2021.44.08.22.

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The aim of the article is to solve the scientific problem of outlining the issue of protection of patent law objects created using artificial intelligence technologies, and to establish whether it is possible to recognize artificial intelligence technologies as inventor at the present stage of development of legal systems. Philosophical, comparative-legal and system-structural methods were used in the research process. Based on the analysis of the European Patent Convention, the main generally accepted conditions of patentability of the invention are determined: novelty, inventive step, indust

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