• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Articles
  • Искусственный интеллект в библиотечной практике: готовность и барьеры
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

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

Language: Russian
Full text
DOI
Text on another site
Keywords: библиотекиLibrariesГенеративный искусственный интеллект artificial intelligenceAI-Literacyграмотность в области искусственного интеллекта
Similar publications
Proceedings of the 43rd International Conference on Machine Learning (ICML 2026)
Seul: PMLR, 2026.
Added: June 4, 2026
Artificial intelligence, drug repurposing and peer review
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
The recognition-by-components method
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
Влияет ли финансовое состояние компаний на прогностическую точность DCF-модели?
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
Предсказательная точность целевых цен акций: сравнение прогнозов аналитиков и машинного обучения
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
Сборник лучших докладов конференции "Ломоносовские чтения" (2025)
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
AlphaDent: A dataset for automated tooth pathology detection
Sosnin E. I., Vasil’ev Y. L., R.A. Solovyev et al., Computer Optics 2025 Vol. 49 No. 6 P. 1129–1137
In this article, we present a new unique dataset for dental research – AlphaDent. This dataset is based on the DSLR camera photographs of the teeth of 295 patients and contains over 1200 images. The dataset is labeled for solving the instance segmentation problem and is divided into 9 classes. The article provides a detailed ...
Added: May 4, 2026
Цифровое сопровождение гуманитарных образовательных программ
Kornienko S., Ismakaeva I., Senina A., Отечественная и зарубежная педагогика 2026 Т. 1 № 2(113) С. 91–102
In the digital age, digital proficiency is becoming a key literacy of the 21st century, particularly relevant for students in humanities education programs. This article proposes a comprehensive model for integrating digital technologies into humanities education at a university. The methodology relies on case studies and design-based research elements, including analysis of regulatory documents, educational ...
Added: April 30, 2026
Разработка микросервиса ADP для идентификации источников выбросов на основе машинного обучения с подкреплением
Kychkin A., Chernitsin I., Прикладная информатика 2026 № 1(121) С. 40–58
The results of the development of a software microservice embedded in atmospheric air quality monitoring systems to support the identification of industrial pollution sources are presented. The emission and subsequent spread of harmful substances in the lower layers of the atmosphere is dynamic and characterized by high uncertainty due to the specific features of technological ...
Added: April 23, 2026
Практики использования технологии дипфейк в современных аудиовизуальных медиа: этические рестрикции
Yefanov A., Человек 2026 Т. 37 № 2 С. 67–82
The article presents the practices of using deepfake technology in modern audiovisual media (television, cinema, internet) by referring to the most resonant cases. Appealing to the conducted by the author results of semi-structured expert interviews (n = 15) with media communications analysts, case study and socio-cultural modeling methods, ethical restrictions of such audiovisual solutions are ...
Added: April 23, 2026
Влияние искусственного интеллекта на профессиональную деятельность фрилансеров
Strebkov D., Социологические исследования 2026 № 2 С. 35–47
The article analyzes the impact of artificial intelligence (AI) on the professional activities of Russian-speaking freelancers engaged in creative and intellectual fields. Based on data from online surveys conducted in 2024 and 2025 on the platform Freelance.ru, the research reveals the dynamics of AI usage, the primary tasks assigned to neural networks, and the advantages ...
Added: April 20, 2026
ARTIFICIAL INTELIGENCE FOR INCLUSION: A PUBLIC BRICS FINANCIAL AI PLATFORM
Yudina M., Ярыгина И., Четти К. et al., Finance: Theory and Practice 2026 Vol. 30 No. 1 P. 103–119
The paper is a result of a comprehensive and systematic approach to reviewing the growing opportunities for BRICS countries in introducing artificial intelligence into a mutual financial platform. The subject of the study is the AI as a factor of BRICS cooperation and its growth in finance. The purpose of the study is to identify measures that stimulate the ...
Added: March 31, 2026
Легитимация этических стандартов правового регулирования искусственного интеллекта в практике отечественного правотворчества и правоприменения
Рыбин А. И., Теоретическая и прикладная юриспруденция 2026 № 1 (27) С. 26–42
Introduction: The article examines the mechanisms of legitimization of ethical standards established in the acts of “soft law”, policy and policy documents, international recommendations in the legal regulation of artificial intelligence (AI) in Russian law-making and law enforcement practice. The purpose of the study is to identify the role and degree of influence of ethical standards on the ...
Added: March 31, 2026
Типологизация стратегий внедрения искусственного интеллекта в образование: Российская Федерация, Европейский союз, Китайская Народная Республика
Zagranichny A., Koroleva D., М.: Издательский дом НИУ ВШЭ, 2025.
The analytical report provides a comparative analysis of strategies for integrating artificial intelligence (AI) into the education systems of the Russian Federation (Russia), the European Union (EU) and the People's Republic of China (China). The study is based on an analysis of key strategic documents governing the development of AI and the digitalization of education ...
Added: March 19, 2026
Diagnostic Accuracy of AI for Opportunistic Screening of Abdominal Aortic Aneurysm in CT: A Systematic Review and Narrative Synthesis
Kodenko M., Vasilev Y., Vladzymyrskyy A. et al., Diagnostics 2022 Vol. 12 No. 12 Article 3197
In this review, we focused on the applicability of artificial intelligence (AI) for opportunistic abdominal aortic aneurysm (AAA) detection in computed tomography (CT). We used the academic search system PubMed as the primary source for the literature search and Google Scholar as a supplementary source of evidence. We searched through 2 February 2022. All studies ...
Added: March 18, 2026
ИИ ищет, а библиотекарь понимает. Статья 6
Fedorov A., Современная библиотека 2026 № 1 С. 30–33
Центральный тезис статьи: ответ ИИ — это результат сложного статистического процесса, обусловленного гигантскими массивами данных, архитектурой модели и, что немаловажно, целями и взглядами её разработчиков. Относиться к ответу как к истине или чистому знанию — большая ошибка. Алгоритм не «знает» и не «мыслит», а предсказывает наиболее правдоподобное продолжение текста. Однако статья не призывает к отказу от ...
Added: March 18, 2026
ИИ-грамотность библиотекаря. Как перестать бояться искусственный интеллект и начать его использовать
Fedorov A., М.: КноРус, 2026.
Искусственный интеллект стремительно меняет библиотечную профессию. Но многие библиотекари не знают, с чего начать, и боятся, что новые технологии вытеснят их из профессии. Эта книга развеивает мифы и показывает, как стать уверенным пользователем ИИ. Автор демонстрирует, что ИИ-грамотность не привилегия программистов. Через исторические аналогии, простые объяснения и практические примеры читатель поймёт, как на самом деле думают ...
Added: March 17, 2026
Секреты продвижения библиотеки с помощью библиотечного микроблога
Fedorov A., Вестник культуры 2014 № 2 С. 35–46
Продвижение библиотек в социальных медиа становится одним из самых востребованных направлений информационно-библиотечной деятельности на современном этапе. Начиная работу по продвижению библиотеки в социальных медиа, необходимо учитывать, что обычные правила библиотечного маркетинга здесь не годятся, так как социальные медиа имеют ряд особенностей и представляют собой нечто большее, чем просто канал социальной коммуникации. ...
Added: March 13, 2026
Библиотеки и социальные сети: обманутые надежды или сбывшиеся ожидания?
Fedorov A., В кн.: Социокультурные институты и культурные практики в Республике Марий ЭлВып. 3.: Йошкар-Ола: Марийский государственный университет, 2017. С. 27–31.
В статье анализируются причины разочарования (усталость аудитории от рекламы, алгоритмические ограничения соцсетей), а также успешные кейсы, где социальные сети помогли сформировать лояльные профессиональные сообщества. Делается вывод, что ожидания трансформировались: социальные сети стали не столько каналом массового привлечения читателей, сколько средой для удержания существующей аудитории и оперативного информирования экспертов. ...
Added: March 13, 2026
Промпт-инжиниринг как ключевая компетенция в образовании: сущность, особенности и подходы к оцениванию
Davlatova M., Сперанская М. В., Высшее образование в России 2026 Т. 35 № 2 С. 53–73
In the context of the rapid development of Generative Artificial Intelligence (GenAI), prompt engineering is becoming a key competence for effective interaction with large language models in educational settings. However, the lack of a unified understanding of its nature, structure, and assessment tools complicates its integration into educational practice.    The aim of this study is to ...
Added: March 7, 2026
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit