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List of publications on a keyword: «neural networks»

  • Using Artificial Intelligence in Teaching Students in Land Management

    Conference Paper
    Digitalization in the education system: best practices and implementation practices
    Authors:
    Anastasiia V. Sukonina, Vera E. Titova
    Work direction:
    Цифровые тренды и повышение качества профессионального образования
    Abstract:
    The article discusses the current issues of introducing artificial intelligence (AI) technologies into the training process of students specializing in Land Management and Cadastre. It analyzes the key areas of AI application in the educational environment and provides examples of integrating neural network algorithms into academic disciplines. Special attention is given to a practice-oriented approach, with the presentation of an author's development - a detailed plan for a practical lesson on automatic object recognition for land surveying purposes. The article concludes that the role of future specialists is transforming from an executor to an analyst-strategist.
    Keywords:
    education, artificial intelligence, automation, neural networks, land management, GIS, land survey plan, and digital competencies

  • AUTOMATION OF PRONUNCIATION ASSESSMENT: DEVELOPMENT OF A SPEECH RECOGNITION SYSTEM PROTOTYPE FOR PHONETIC CORRECTION OF STUDENTS

    Conference Paper
    Education, innovation, research as a resource for community development
    Authors:
    Artiom G. Elizbarian, Anna S. Klimash, Inessa S. Kappusheva, Alena R. Novikova
    Work direction:
    Современные технологии в образовании
    Abstract:
    This article is devoted to the development of a prototype automated pronunciation assessment system based on speech recognition technologies. The algorithmic foundations of phonetic analysis, the prototype architecture, methods of integration into the educational process, and the pedagogical effectiveness of the approach are examined. Practical recommendations for using the system for phonetic correction of students at various levels of language proficiency are proposed.
    Keywords:
    foreign language teaching, neural networks, speech recognition, phonetic correction, automated pronunciation assessment, language technologies

  • Ispol'zovanie neirosetei v sisteme obrazovaniia: preimushchestva i riski

    Conference Paper
    Current problems of communication: theory and practice
    Authors:
    Iurii A. Denisenko, Daniil F. Klimenko
    Work direction:
    Конвергентные коммуникации будущего: интеграция цифровой среды, нейронаук, искусственного интеллекта и новых медиа
    Abstract:
    Over the past three years, neural networks and other artificial intelligence (AI) technologies have become one of the most discussed topics in education, from school to university. This article examines the main uses of neural networks in the educational process, analyzing their key benefits (personalization, automation of everyday tasks, expanding access to knowledge) and risks (ethical issues, substitution of independent work, digital divide, unreliable information). Based on an analysis of modern scientific and educational literature, it shows how neural networks are changing education and what conditions are necessary for their safe and effective implementation. The research methods include analysis and synthesis of scientific literature, comparison of approaches by different authors, and practical examples.
    Keywords:
    education, information security, artificial intelligence, digitalization, neural networks, personalized learning, academic integrity
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  • Pravila uspeshnogo promtinga

    Book Chapter
    Issues of education and psychology
    Authors:
    Liubov I. Smyslova, Irina V. Luchina, Ekaterina I. Kuptsova, Larisa N. Fedorova, Nadezhda R. Grigoreva
    Work direction:
    Глава 12
    Abstract:
    The chapter addresses the effective use of neural networks in teaching practice. It examines main challenges of AI implementation and offers practical rules for creating quality prompts using the "Action-Topic-Audience-Limitations" formula. Special attention is given to developing educational materials (lesson plans, differentiated task cards, comics) using the example of "Verb Personal Endings" for 7th grade. The importance of experimentation, iterative query refinement, and using neural networks as an idea generator for improving educational processes is emphasized.
    Keywords:
    neural networks in education, prompt engineering, educational materials development, AI in teaching, lesson planning, differentiated tasks, educational comics
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  • ARCHITECTONICS OF THE DEVELOPMENT OF HUMAN CONSCIOUSNESS OF THE NEW TIME: A FIVE-LEVEL MODEL IN THE EDUCATIONAL PROCESS

    Conference Paper
    Psychologically Safe Educational Environment: Design Problems and Development Prospects
    Author:
    Svetlana A. Pavlenko
    Work direction:
    Psychological security in the digital environment of an educational institution
    Abstract:
    Развитие сознания, педагогическая психология, функциональные системы, старшие арканы Таро, путь героя, восхождение Духа, нейросети, образовательная парадигма, самосознание, новый человек, информационный код
    Keywords:
    educational paradigm, self-consciousness, neural networks, development of consciousness, pedagogical psychology, functional systems, major arcana of the Tarot, hero's path, ascent of the Spirit, new person, information code
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  • Artificial intelligence in teaching Russian as a foreign language: opportunities and prospects

    Conference Paper
    Education, innovation, research as a resource for community development
    Authors:
    Alisa E. Mozheevskaia, Mariia V. Khairullina
    Work direction:
    Современные технологии в образовании
    Abstract:
    The article discusses modern approaches to teaching the Russian language as a foreign language using artificial intelligence (AI) technologies. This topic is relevant due to the growing importance of learning the Russian language for international students in Russia, which contributes to their professional mobility and expansion of opportunities in the international job market. The paper analyzes the potential integration of AI into the Russian as a second language (RCT) learning process, examining the benefits and limitations of this approach. It also focuses on personalizing the educational experience through the use of tools such as intelligent chatbots, automated speech processing and recognition systems, and gamified learning platforms.
    Keywords:
    artificial intelligence, Russian as a foreign language, neural networks, personalized learning, international students, innovative technology
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  • Tekhnologii mediabezopasnosti: metody protivodeistviia feik-kontentu v tsifrovykh media

    Book Chapter
    Development of the Russian socio-economic system: challenges and prospects
    Author:
    Natalia G. Mironova
    Work direction:
    Глава 14
    Abstract:
    Digital technologies make it possible to automate the processes of disinformation and information warfare, launch fakes promptly and on a large scale, organize information interventions to shift public attention from one information agenda to another, to conduct information and psychological operations, and to have a certain impact on the consciousness and behavior of target groups. Fakes circulate not only in pop media and propaganda channels, but also penetrate into journalism, educational content, and scientific discourse, not only as a subject of scientific research, but also as a result of falsification; the phenomenon of fake journalism and journalism that ignores the high standards and principles of the profession has emerged. In the dense flow of rapidly updating information, attentive perception is difficult, it is difficult to distinguish between truth and falsification, and to obtain reliable information about events; Society is under unprecedented pressure from digital media disinformation, undermining trust in social institutions and social communication channels. These circumstances actualize the issues of improving the methodology and tools for verifying information and recognizing fake content in online media. The purpose of the study is to analyze the signs of fake media content and improve methods of countering disinformation in the media space. Results: the goals and motives of fake creators and distributors, signs and technologies of digital content falsification are investigated, approaches to combating fakes and falsification of information in online media are analyzed, the effectiveness of various technologies for detecting fake content and countering its influence is assessed. The concept of a comprehensive system for countering fakes in the digital space is outlined. One of the conclusions of the study is that countering the influence of fake online media content is not limited to technical and regulatory solutions, since the mechanisms of this influence are socio-psychological; cognitive sciences can provide a methodology for effectively countering deception and manipulation. The study is aimed at media security specialists.
    Keywords:
    artificial intelligence, media security, Fake, deepfake, generative neural networks, neural network content detectors, methods of countering disinformation, and forensics
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  • Digital platforms and ecosystems of the sports industry

    Book Chapter
    Principles of building a new ecosystem: Economic, legal and social aspects
    Author:
    Elena G. Kostenko
    Work direction:
    Глава 8
    Abstract:
    Modern technologies allow collecting and analyzing training and competition data, improving professional training of athletes, managing teams and conducting technical analysis. Digital platforms and ecosystems of the sports industry help athletes improve their performance, optimize training processes, predict and analyze test results, and attract people of all ages to physical education and mass sports.
    Keywords:
    artificial intelligence, digitalization, platforms, neural networks, applications
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  • Teaching a Foreign Language in a Non-Linguistic University in the Era of Digitalization

    Book Chapter
    Modern Challenges of Education and Psychology of Personality Formation
    Author:
    Elena G. Liakhova
    Work direction:
    Глава 9
    Abstract:
    This research is devoted to the study of the problem of cognitive risks arising as a result of the digitalization of education, in general, and teaching a foreign language in a non-linguistic university, in particular. The research method used is a comparative analysis of approaches to teaching a foreign language using artificial intelligence and traditional methods of teaching a foreign language in a non-linguistic university. As a result of the study, the author comes to the conclusion about the need to combine traditional methods of teaching a foreign language with innovative methods using neural networks.
    Keywords:
    teaching foreign languages, artificial intelligence, neural networks, non-linguistic university, cognitive risks
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  • Artificial Intelligence, Its Structure and Application

    Conference Paper
    Law, Economics and Management
    Authors:
    Nadezhda V. Maksimova, Damir K. Nikitenko, Tatyana L. Fomicheva
    Work direction:
    Международная экономика
    Abstract:
    This article is devoted to the presentation of the most advanced developments in high technology. The issue of the development of artificial intelligence and the capabilities that scientists have developed in this area today. At this stage in the development of science and technology, there is a tough struggle for the possibilities of replacing the role of man and in his highest achievement of reason with artificial intelligence. The rapid growth of information technology contributes to the solution of this extremely important task, which is being solved by leading scientists and engineers. We will give examples of the use of artificial intelligence in modern life and the horizons that open before humanity in the framework of improving neural connections.
    Keywords:
    artificial intelligence, optimization, neural networks
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