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List of publications on a keyword: «neural network»

  • Comparative Performance Analysis of Machine Learning Techniques for Cardiovascular Disease Pattern Detection

    Conference Paper
    Strategies of Sustainable Development: Social, Law and External-economic Aspects
    Authors:
    Olesia O. Oleinikova, Ekaterina S. Almazova, Tatiana V. Soloveva, Sergei I. Gorbachev
    Work direction:
    Социально-экономические процессы в обществе
    Abstract:
    This paper evaluates the performance of three data analysis techniques-decision trees, neural networks, and self-organizing Kohonen maps-in identifying cardiovascular disease patterns. Based on a dataset of 1,328 patient records, the models were compared regarding classification accuracy for target variables and demographic attributes. The neural network achieved the lowest error rate for disease prediction (3.61%), while the decision tree showed robust performance (6.17%) with higher interpretability. The findings underscore the necessity of method selection based on data specificity and the trade-off between accuracy and transparency in medical diagnostics.
    Keywords:
    machine learning, data analysis, neural networks, decision trees, Kohonen maps, healthcare analytics
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  • Designing resources for school geography lessons using artificial intelligence

    Conference Paper
    Modern education: innovations, challenges and solutions
    Authors:
    Veronika M. Pogrebniak, Anna I. Suvorova
    Work direction:
    Применение инновационных цифровых методов и искусственного интеллекта в образовании
    Abstract:
    The article discusses the use of artificial intelligence in the school geography course. The author focuses on the fact that the use of artificial intelligence in the educational process is enshrined at the state level. Examples of the use of neuroslope as low-quality, unreliable content generated by artificial intelligence in school geography are given.
    Keywords:
    artificial intelligence, neural network, school geography, neuroslope

  • Academic drawing in design education: the challenge of modern technologies

    Book Chapter
    Design in higher education: strategies, technologies and training methods
    Author:
    Varvara A. Pugach
    Work direction:
    Глава 5
    Abstract:
    This chapter discusses various aspects of teaching future designers using academic and technical drawing, using the example of students from DSTU and AAIF of SFU. It addresses issues related to the increasing digitalization of educational processes and society as a whole, as well as the active and problematic use of artificial intelligence technologies in creative professions.
    Keywords:
    artificial intelligence, graphic design, neural network, design students' project activities, academic drawing, technical drawing, project thinking
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  • A comparative analysis of the effectiveness of neural network‑driven versus algorithmic learning modules in higher mathematics education

    Book Chapter
    Current Issues in Pedagogy and Psychology
    Author:
    Inga A. Chaikina
    Work direction:
    Глава 7
    Abstract:
    This chapter presents a comparative analysis of the effectiveness of two classes of digital educational tools used in teaching higher mathematics at the university level: neural network-based applications – generative language models and adaptive AI platforms – versus classical algorithmic products, including task databases, computer simulators, and mind maps. Drawing on an analysis of contemporary scientific research (2019–2026) and pedagogical practice, the study identifies the strengths and limitations inherent to each approach. It is established that neural networks possess considerable transformative potential for personalizing instruction and generating learning materials, yet fall short of algorithmic systems in terms of reliability, accuracy, and the capacity to foster robust computational skills. The findings substantiate the need for a hybrid strategy that integrates both types of tools, complemented by the active role of the instructor as a filter and moderator of AI-generated outputs.
    Keywords:
    artificial intelligence, comparative analysis, neural networks, digital transformation of education, higher mathematics, higher education pedagogy, algorithmic learning programs
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  • 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
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  • Transformation of the Role of a Teacher of Socio-Humanitarian Disciplines in the Context of Digitalization of Education

    Research Article
    Development of education Volume 9 No 2
    Author:
    Irina V. Staroverova
    Work direction:
    Pedagogy and Modern Education
    Abstract:
    The article analyzes the changing role of the teacher of socio-humanitarian disciplines (SHD) in the context of the widespread adoption of generative artificial intelligence (AI) in the educational process. The aim of the study is to identify the directions of transformation of the professional position of the SHD teacher and to propose a model that enables the adaptation of the educational process to the new digital reality. It is shown that the traditional model of the teacher as the primary source of knowledge and an expert-controller no longer works when students have constant access to generative AI systems capable of producing coherent and outwardly persuasive responses. The “simulacrum effect” creates a particular vulnerability for SHDs: generative models can easily produce a passable philosophical or sociological essay without any genuine understanding of the content. The author argues that the new role of the SHD teacher involves shifting the focus from transmitting ready-made knowledge to teaching information literacy skills, including verification and prompt engineering. A three-level model of teacher role transformation is proposed: the methodological level (teaching verification and prompt engineering), the project-facilitation level (hybrid “human + AI” formats), and the ethical-reflexive level (defining the boundaries of acceptable AI use). A fourth, integrative level is also described, which is achieved upon mastering the previous three and involves the teacher transitioning to the role of academic mentor, guiding students through the research cycle of “generation – critique – reflection”. Based on practical experience, specific methods are described, such as the “three-layer essay” and “AI reviewer”, that enable the implementation of this model in the educational process. The proposed model transforms the teacher's role not toward competition with AI, but toward that of a mentor who cultivates critical thinking and research culture.
    Keywords:
    teacher, artificial intelligence, digitalization of education, critical thinking, ethics, generative neural networks, facilitation, social and humanitarian disciplines, teacher's role
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  • Artificial intelligence in commercial content: copyright risks and problems of protecting business interests

    Book Chapter
    Development of the Russian socio-economic system: challenges and prospects
    Authors:
    Artiom A. Gomolskii, Ekaterina S. Mitiachkina
    Work direction:
    Глава 14
    Abstract:
    The chapter examines the legal aspects of using content generated with the assistance of artificial intelligence technologies in commercial activities. Particular attention is paid to issues of authorship and ownership of exclusive rights to intellectual property objects created with the participation of AI systems, as well as to the legal challenges of commercial exploitation of AI-generated content. The study analyzes risks associated with copyright infringement, trademark violations, protection of confidential information, and trade secret regimes. Special emphasis is placed on the role of human creative contribution as the key criterion for copyright protection of AI-assisted works. The paper also explores contractual mechanisms for risk allocation among business participants and addresses the use of artificial intelligence tools by employees and contractors. The authors conclude that effective and legally secure use of AI-generated content requires not only compliance with intellectual property legislation but also the implementation of internal corporate policies aimed at risk management and protection of business interests.
    Keywords:
    artificial intelligence, digital technologies, intellectual property, neural networks, copyright, exclusive rights, trademark, legal risks, AI-generated content, trade secret
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  • 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
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  • The Art of Accurate Requesting: How can a psychologist get the most out of neural networks?

    Conference Paper
    Psychological and Pedagogical Research – Tula Region
    Authors:
    Viktoriia M. Demina, Elizaveta R. Fedina, Elena I. Turevskaia
    Work direction:
    Специфика профессиональной деятельности специалистов психологического профиля в современной информационно-образовательной среде
    Abstract:
    The use of artificial intelligence in psychological practice has elicited mixed reactions from professionals, ranging from full integration into their professional activities to rejection and distrust. The question remains open as to the conditions under which neural networks can serve as effective assistants for psychologists, without replacing professional empathy and clinical thinking, and without being perceived by professionals as a competitor that threatens their position in the job market. This article explores one of the conditions for the effective collaboration between psychologists and neural networks: the "art of precise requests," which involves the ability of a professional to formulate tasks for AI in a manner that is appropriate for their professional context.
    Keywords:
    empathy, neural networks, artificial intelligence (AI), clinical thinking, pshychological practice, the art of precise prompting, AI integration, survey of psychologists, prompt
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  • 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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  • Identification of econometric models of simultaneous equations and control systems based on machine learning

    Book Chapter
    Effective development of the modern economy: problems and prospects
    Author:
    Alina M. Minitaeva
    Work direction:
    Глава 12
    Abstract:
    The chapter proposes a method for analyzing economic systems based on the use of a model of simultaneous equations and machine learning. The architecture of a fully connected neural network capable of reflecting the structure of a discrete-time control system and allowing the identification of a system of simultaneous equations is considered. A method for training a neural network is proposed that allows estimating the coefficients of a set of simultaneous equations. A method for forecasting a multivariate time series based on the estimated structural parameters of the system using a perceptron is presented.
    Keywords:
    machine learning, neural network, multivariate time series, simultaneous equations, discrete-time control system, perceptron, control system identification
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  • The impact of using chatbots on learning a foreign language in a non-linguistic university

    Book Chapter
    Psychological and pedagogical issues of modern education
    Author:
    Elena G. Lyakhova
    Work direction:
    Глава 7
    Abstract:
    The relevance of this study is determined by the fact that artificial intelligence and neural network chatbots are playing an increasingly important role in higher education; they often take over traditional methods of teaching a foreign language in non-linguistic universities. At the same time, the issue of the advantages of using artificial intelligence in teaching a foreign language remains open. The purpose of the chapter is to analyze the advantages and disadvantages of using neural network chatbots in the process of teaching a foreign language in comparison with traditional teaching methods. To achieve this goal, the author uses experimental teaching of English to first-year future culturologists. As a result of the study, it was found that the process of assimilation of foreign language material when teaching a foreign language using chatbots differs from the process of assimilation while teaching traditionally. Significant differences were noticed at the stages of formation of motivation, presentation of new foreign language material, comprehension and rethinking of the new lexical and grammatical material. Such phenomena as clip thinking, the Google effect, and the devaluation of students’ memory with the constant use of digital devices have a particularly strong influence on changes in the learning process. Techniques are proposed to neutralize the negative impact of neural network learning on students, when implemented, an increase in the effectiveness of teaching a foreign language using neural network chatbots is observed.
    Keywords:
    artificial intelligence, clip thinking, increasing the efficiency of teaching a foreign language in non-linguistic universities, neural network chatbots, cultural studies, mastering foreign language lexical and grammatical material
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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. Lyakhova
    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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  • The basics of teaching propaedeutics to future designers in modern conditions

    Book Chapter
    Issues of modern design education
    Author:
    Vera A. Shepilova
    Work direction:
    Глава 7
    Abstract:
    The study reveals the specifics of teaching basic art disciplines in the junior courses of the undergraduate direction of the Design 54.03.01. Modern conditions are presented that form the sphere of professional activity of future designers. It reflects the importance of introducing students to moral, ethical and aesthetic values. Attention is focused on creating an artistic image as the fundamental principles of compositional tasks. The fundamental significance of the Propaedeutics discipline is revealed. Didactic teaching principles in the context of design education are outlined. The author's set of propaedeutics exercises is disclosed, which have increasing complexity, coordination of interdisciplinary ties and the development of the emotional sphere of students. The logic of interaction and continuity of disciplines can be traced. Features of training using computer tools and the use of neural networks in training are disclosed. The conditions for the further development of the designer in the professional field on the basis of fundamental knowledge are formulated.
    Keywords:
    information technology, artistic image, neural network, design training, composition fundamentals, moral and ethical values, aesthetic values, propaedeutic knowledge, propaedeutics, didactic principles, propaedeutic exercises, laws and means of composition, plastic plot composition, professional competencies of designer
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  • Features of using neural network platforms for teaching foreign languages in a non-linguistic university

    Book Chapter
    Theoretical and practical aspects of pedagogy and psychology
    Author:
    Elena G. Lyakhova
    Work direction:
    Глава 8
    Abstract:
    This study was conducted to find out the advantages and disadvantages of teaching a foreign language at a non-linguistic university using neural network platforms and to compare such training with traditional teaching of foreign languages. During the research, an analysis of the features of neural networks and learning platforms based on them was carried out. The author of the article conducted experimental training in order to compare the success of mastering lexical and grammatical foreign language material when learning on the Duolingo neural network platform with traditional foreign language teaching. As a result of the study, the author discovered that when learning on neural network platforms, students experience difficulties at the stages of forming and maintaining motivation, presenting new foreign language material, comprehending and rethinking. These difficulties are associated with the risk of cognitive devaluation of students’ memory, the Google effect, the inability of neural networks to structure information, clip thinking, and the lack of comparison of new foreign language phenomena with their analogues in the students’ native language and native culture. At the same time, in the process of experimental training, the author found that vocabulary acquisition occurs more effectively when learning on neural network platforms. In addition, according to the results of the survey, students like to study a foreign language on neural network platforms due to the abundance of game components of such learning. In conclusion, the article provides ways to mitigate and level out the identified shortcomings of learning on neural network platforms, the main of which is the organization of blended learning, in which the teacher forms and maintains student motivation, presents new foreign language material, activates students’ conceptual critical thinking with the help of appropriate exercises, and students perform lexical and grammatical exercises on the neural network platform.
    Keywords:
    artificial intelligence, clip thinking, teaching a foreign language at a non-linguistic university, neural network learning platforms, cognitive devaluation of students' memory, conceptual thinking
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  • Problems of Bias and Opacity of Neural Network Models

    Book Chapter
    Modern issues of pedagogy and psychology: theoretical and methodological approaches and practical research results
    Author:
    Natalia G. Mironova
    Work direction:
    Глава 7
    Abstract:
    In recent decades, experts in the field of cognitive psychology and epistemology have described about two hundred distortions inherent in human thinking. Systems based on artificial intelligence models that are actively being created and introduced into social practice exhibit characteristics similar to human thinking, incl. cognitive defects. The chapter analyzes some cognitive distortions that, according to the author, are inherent in artificial intelligence models, in particular large generative neural network models.
    Keywords:
    information security, philosophical problems of artificial intelligence, neural network models
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  • Ispol'zovanie neirosetei v prepodavanii vysshei matematiki v tekhnicheskom vuze

    Book Chapter
    Modern educational technologies: psychology and pedagogy
    Authors:
    Iuliia A. Genvareva, Natalia G. Marchenkova
    Work direction:
    Глава 7
    Abstract:
    Due to the rapid development of information technology and artificial intelligence, the use of neural networks is becoming more widespread and significant in various fields of research and training. In higher mathematics, neural networks can be used to improve the learning process of students. For example, they can help create online courses tailored to the individual needs of students. Neural networks can analyze the results of students' work and offer individual recommendations for studying specific topics or problem areas. In addition, neural networks can be used to develop intelligent systems for automatic task verification and pattern recognition. This can help teachers in the process of evaluating students' work and providing feedback. Neural networks can also diagnose problems in understanding the material and offer additional materials or exercises to consolidate skills. Neural networks can also be used to study complex mathematical problems and develop new approaches and methods in higher mathematics. Their ability to process large amounts of data and find complex patterns can help in the study of mathematical structure and the creation of new mathematical models. It is obvious that the use of neural networks in teaching higher mathematics opens up opportunities for more effective and individualized student learning, as well as for the development of mathematics itself. Therefore, this topic is relevant and interesting for further research and applications.
    Keywords:
    higher mathematics, technical university, neural network, methods of teaching higher mathematics
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  • Security of the Use of Cognitive Information Technologies of Decision-Making

    Book Chapter
    Economics and Law
    Author:
    Natalia G. Mironova
    Work direction:
    Глава 5
    Abstract:
    The article considers the intelligent automation of decision-making and management procedures that is being implemented in many areas of socio-economic practice, including financial and credit business processes, in trade and e-commerce (customer profiling, marketing micro-targeting), telecommunications, industry (technological control, robotics, neurocontrol, strategic planning and forecasting), intelligent automation also came to business management, to public administration. It is claimed that automation of personnel management is expanding (monitoring compliance with requirements, profiling and assessing KPIs, predicting conflicts and violations), unmanned vehicles and other neural network automation are used in medicine, the transport industry and agriculture; smart technologies come to education (in Moscow, a system of predictive analytics of the digital footprint of students is being tested to optimize and target educational services, help orientate in the future profession). The use of cognitive technologies in the creation of expert, advisory systems, decision support systems provides not only convenience and savings in time and effort, but gives rise to a variety of organizational, economic, ethical, social problems, giving rise to new risks. This study provides an overview of intelligent technologies that are used in social management, threats associated with the practical use of intelligent automation tools and decision support, ways and measures to reduce some of the risks associated with these threats.
    Keywords:
    artificial intelligence, technological security, information risks, neural network technologies, DSS (decision support systems), people analytics, workforce analytics
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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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