?
Искусственный интеллект изменит анатомию высшего образования
С. 211–214.
Vatletsov S.
The subject of this paper is an artificial intelligence as a set of technological solutions that allows imitating human cognitive functions (including self-learning and search for solutions without a predetermined algorithm) and obtaining results comparable, at least, with the results of human intellectual activity when performing specific tasks. Its purpose is to describe the impact that machine intelligence has and will have on the educational process and results. The relevance of the work is explained by the importance of searching for an optimal model of modern professional education.
In book
Н. Новгород: Нижегородский государственный технический университет им. Р.Е. Алексеева, 2024.
Dormidontova Y., Central European Business Review 2026 Vol. 15 No. 2 P. 69–90
This study examines the individual factors of artificial intelligence (AI) implementation by small and medium-sized enterprise (SME) owners, based on a survey of 499 respondents in Russia. Drawing on Innovation Diffusion Theory, the Technology Acceptance Model (TAM), and stakeholder-oriented sustainability approach, the analysis shows that SME owners who already use AI for private purposes are ...
Added: July 7, 2026
Voronina Y., Kuryan M., Вестник Мининского университета 2025 Т. 13 № 4 Статья 2
Introduction. The use of artificial intelligence (AI) tools in the educational process is expanding, particularly in teaching English writing. Despite this growth, there remains a need for deeper exploration into how AI can enhance the effectiveness of teacher feedback received by students on their written works. This study aims to investigate collaborative approaches between teacher ...
Added: July 6, 2026
Stoyanova O., Окусков И. С., Бизнес-информатика 2026 Т. 20 № 2 С. 81–93
The integration of artificial intelligence (AI) into information technologies is reshaping competency requirements for IT specialists. However, AI competency penetration into the early phases of the Software Development Life Cycle (SDLC) – requirements analysis and planning – remains underexplored. Existing studies either rely on static competency models lacking empirical validation or analyze the labor market ...
Added: July 5, 2026
Tarasova K., Talov D., Ivanova A., Высшее образование в России 2026 Т. 35 № 6 С. 127–148
The article examines the relationship between the use of generative artificial intelligence in learning and several AI-related characteristics of students at Russian universities. The study is based on the assumption that the frequency of AI use should not be treated as a direct indicator of AI literacy or competence in working with generative systems. Four ...
Added: June 29, 2026
Капитонов И. А., Москвитин О. А., Современное профессиональное образование 2026 № 5 С. 55–57
В статье рассматривается проблема институциональной неготовности российской системы образования и науки к массовому распространению генеративного искусственного интеллекта. Авторы фиксируют парадоксальную асимметрию: студенты и аспиранты активно применяют ИИ для делегирования текстопроизводства, тогда как научно-педагогические работники в большинстве своём не используют его как исследовательский инструмент. Показано, что в основе этой асимметрии лежит не «злой умысел» участников, а ...
Added: June 23, 2026
Pruzhinin B. I., Afanasov N., Буданов В. Г. et al., Вопросы философии 2026 № 5 С. 5–35
In December 2025, the Institute of Philosophy of the Russian Academy of Sciences hosted an international roundtable on the topic “Social Programming as a Methodological Tool of Network Self-Organization: Problems and Trends”.
The roundtable was organized by the journal “Voprosy Filosofii” and representatives of the research project No. 25-28-00707, “Social Programming as a Problem of Network ...
Added: June 18, 2026
Barkhatova L., Социологические исследования 2026 № 5 С. 71–83
The article conceptualizes the methodological potential of hyperlink network analysis as a tool of empirical reconstruction of social interaction through digital traces. Using the partnership network of Russia’s artificial intelligence (AI) ecosystem as a case, the paper presents an original analytical framework for translating technical hyperlink data into sociological categories. The study describes a full ...
Added: June 12, 2026
Butorova A., Bobakov V., Sergeev A. et al., European Physical Journal: Special Topics 2026 P. 1–19
This paper presents a review of artificial intelligence (AI) methods for failure prediction in data center cooling systems, with a focus on the integration of digital twins (DTs), physics-informed learning, and graph-based models. Positioned within complex network science, this review addresses a limitation of conventional graph approaches—their reliance on pairwise connectivity—whereas real-world failures often arise ...
Added: June 10, 2026
Orazmetova Dilara, Zhohov A., Vasilieva Sofia et al., , in: 2026 28th International Conference on Digital Signal Processing and its Applications (DSPA).: IEEE, 2026. P. 1–5.
The article presents a software-hardware approach for an intelligent camera trap designed for the automatic detection of stray animals in a video stream using digital image processing methods and neural network algorithms implemented on an embedded computing platform. The system architecture, video signal processing algorithms, features of adapting a neural network model to conditions of ...
Added: June 7, 2026
Stepanov A. K., Medovnikov D., Розмирович С. Д. et al., Вестник Московского университета. Серия 6: Экономика 2026 Т. 61 № 1 С. 145–178
The article examines the tension between the key role of high-growth companies in job creation and their persistent shortage of skilled production personnel in the Russian labour market. The study aims to identify the scale and structure of staffing challenges faced by such firms, to analyse their impact on employment, and to assess current practices ...
Added: June 4, 2026
Seul: PMLR, 2026.
Added: June 4, 2026
Москвитин О. А., Лебединский В. И., В кн.: Цифровое общество: состояние, проблемы, перспективы.: [б.и.], 2026.
В статье анализируются правовые и организационные основы функционирования государственных информационных систем «Антикартель» и «ТАРИФ», созданных Федеральной антимонопольной службой России в рамках цифровой трансформации контрольно-надзорной деятельности. Исследуются возможности использования технологий искусственного интеллекта для выявления антиконкурентных соглашений и обеспечения эффективного тарифного регулирования. Выявляются отдельные возможные правовые риски и направления совершенствования использования ГИС. ...
Added: June 2, 2026
Podchufarov A., Medvedev D., Galkina A. N. et al., В кн.: Девятый международный экономический симпозиум, посвященный 85-летию Экономического факультета СПбГУ. Материалы международных научных конференций 16-20 апреля 2025 г.: XII Международная научно-практическая конференция «Устойчивое развитие: общество и экономика»; XXII Международная конференция «Эволюция международной торговой системы: проблемы и перспективы»; XXXI Международная научно-практическая конференция «Актуальные проблемы менеджмента: управление в условиях развития интеграционных процессов»; IX Международная научная конференция Соколовские чтения «Бухгалтерский учет: взгляд из прошлого в будущее»; Международная конференция молодых ученыхэкономистов «Развитие современной экономики России».: СПб.: Скифия-принт, 2025. С. 641–647.
The report deals with the topical issues of interdisciplinary interaction development in higher education on the example of the experience of the National Research University Higher School of Economics (HSE University). The approaches to developing interdisciplinary competences of young specialists in the context of modern integration processes and global challenges are provided. The key stages ...
Added: May 29, 2026
Федоров Н. С., Финансовый журнал 2025 Т. 17 № 6 С. 99–112
The DCF model is one of the most commonly used models in valuing companies for investment deci sions. Nevertheless, estimating the accuracy of this model remains an important research question. This article presents an assessment of the accuracy of DCF model specifications based on analyzing the variance of fair share prices of companies listed on ...
Added: May 15, 2026
Федоров Н. С., Финансы и бизнес 2025 Т. 21 № 3 С. 34–50
Currently, the role of artificial intelligence is increasingly playing a significant role in various fields, including the increasing role of machine learning in finance. On the other hand, company valuation remains an important part of research due to its difficulty in correctly predicting the accuracy of target stock prices. This study provides an analysis of ...
Added: May 15, 2026
М.: Экономический факультет МГУ им. М.В. Ломоносова, 2026.
В сборнике приводятся тексты лучших докладов участников Международной ежегодной научной конференции «Ломоносовские чтения-2025» (секция экономи ческих наук) «Настоящее и будущее социально-экономического развития: потен циал ИИ и новые вызовы», состоявшейся 9–11 апреля 2025 г. на экономическом факультете МГУ имени М. В. Ломоносова. Материалы сгруппированы по тематическим направлениям. ...
Added: May 12, 2026
Talov D., Tarasova K., Высшее образование в России 2026 Т. 35 № 4 С. 85–104
The development of critical thinking is currently regarded as one of the key objectives of higher education. In this context, there is a growing number of instruments aimed at assessing critical thinking in domain-specific and more authentic educational settings. However, considerably less attention has been paid to the question of the extent to which the ...
Added: May 6, 2026