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Искусственный интеллект в библиотечной практике: готовность и барьеры
Библиосфера. 2025. № 4. С. 106–115.
Fedorov A., Карпов С. В.
Artificial intelligence (AI) transforms information search by providing librarians with new effective tools to assist users. It changes the ways of information retrieval, where librarians play an important role in helping their users. The purpose of this article is to examine the perception of artificial intelligence by domestic librarians. Based on the analysis of publications, cases of implementation of machine learning technologies, interviews with experts and a rapid survey, the article attempts to assess the readiness to implement artificial intelligence in library practice. The results of the study show that successful integration of artificial intelligence into libraries requires the development of advanced training programs and interdisciplinary cooperation. Implementation of these measures will enable the development of library digital transformation strategies, allowing them to maintain their key role in ensuring equitable and inclusive access to information and fostering AI-literacy
Долгополова Ю. Н., Kotov A. A., Юсупова М. А. et al., М.: НИУ ВШЭ, Институт образования, 2026.
More than half of Russian adolescents use generative neural networks daily, and this figure continues to grow. Under these conditions, AI is becoming not just a tool but a cognitive partner for students, which requires a rethinking of existing educational practices. This systematic review synthesizes empirical data from studies conducted between 2014 and 2026 on ...
Added: August 21, 2026
Yu Z., Wang J., Wang Z. et al., Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2026 Vol. 384 P. 1–16
The integration of data-driven and knowledge-driven approaches in generative geospatial modelling (GGM) is often hindered by their mathematical incompatibilities. Here, we propose a geometric algebra (GA)-based framework that employs a unified multi-vector representation to fuse heterogeneous data and diverse knowledge. The framework facilitates structured reasoning and hypothesis generation through a task-adaptable, five-stage cycle: representation, reasoning, ...
Added: August 13, 2026
Kanaev E., Southeast Asia: Actual Problems of Development 2026 Vol. 2 No. 2(71) P. 11–22
The author focuses on a strengthening digital component in the evolution of the South China Sea issue in the context of ASEAN’s evolving approach to the deepening contradictions and its policy in the digital field. On outlining ASEAN’s policy on the South China Sea issue, the author proceeds to exploring the digital agenda of ASEAN’s ...
Added: July 30, 2026
Klementiev A., Kasatkina A., Legal Issues in the Digital Age 2026 Vol. 7 No. 2 P. 40–60
The article examines specific aspects of artificial (machine) intelligence in dispute resolution in state and arbitration courts . Drawing on legal research methods and data from artificial intelligence science, the authors propose a significant obstacle to its application in the legal sphere is the so-called “hallucination problem,” i .e ., the generation of false data by machine intelligence programs ...
Added: July 14, 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
Selskiy A., Snegirev A., Колбин Е. И. et al., В кн.: Цифровая клиентоцентричность. Как современные технологии помогают компаниям и государству сделать шаг навстречу потребителям.: М.: ИСИЭЗ ВШЭ, 2026. Гл. 2 С. 71–142.
The second chapter of the monograph analyzes the current megatrends of customer centricity, shaped by digital technologies and transforming the approaches of companies and government bodies to customer and citizen engagement. Based on semantic big data analysis (using the iFORA system) and expert interviews, the authors identify four key megatrends.
The first megatrend, proactive engagement and personalization, describes ...
Added: June 26, 2026
Fedorov A., Современная библиотека 2026 № 3 С. 12–16
Статья посвящена проблеме использования генеративных нейросетей для автоматического оформления библиографических ссылок и списков литературы по российским стандартам. Автор показывает, что прямое обращение к ИИ без правильно составленного запроса часто приводит к ошибкам, «галлюцинациям» и несуществующим источникам. Решение видится в освоении навыка библиографического промптинга — практики детального проектирования входных данных для ИИ.
В статье предлагается универсальная структура ...
Added: June 24, 2026
Kosmarsky A., Напреенко И. В., Journal of Cultural Economy 2026 P. 1–4
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
Romanova T. V., Бинштейн М. М., Медиалингвистика 2026 Т. 13 № 1 С. 28–50
В данной статье противопоставляется узкое и широкое понимание содержание термина ИИ, фиксируется история его появления. Функционирование термина ИИ рассматривается в сопоставительном аспекте по данным российских и китайских медийных источников: ...
Added: June 14, 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
Seul: PMLR, 2026.
Added: June 4, 2026
Levin J., Oprea T. I., Davidovich S. et al., Nature Biotechnology 2020 P. 1127–1131
The COVID-19 pandemic has transformed the way scientific and clinical results are shared and disseminated. According to a recent analysis, an average of 367 COVID-19 papers are being published every week, with a median time from submission to acceptance of just 6 days (compared with 84 days for non-COVID-19 content)1. These unprecedented peer review turnaround ...
Added: June 1, 2026
Slivnitsin P., Mylnikov L., Engineering Applications of Artificial Intelligence 2026 Vol. 179 Article 115185
The paper describes a applied artificial intelligence task of recognition-by-components method of real objects based on the recognition of a limited set of primitives or components. The recognition-by-components makes it possible to determine the components, that compose an object, and increase the number of recognizable objects without degrading the recognition quality. Training is performed on ...
Added: May 29, 2026
Milovidov S., Bulgakov V., Информатика и образование 2026 Т. 41 № 2 С. 32–43
Research continues the academic discussion regarding the implementation of deep machine learning technologies, commonly referred to as artificial intelligence, into the educational process, and their impact on established practices within the Russian higher education system. Over recent years, a substantial body of research has emerged, focusing on interaction with these algorithms in the context of ...
Added: May 18, 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