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Subject
News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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2018 Fifth HCT Information Technology Trends (ITT)

IEEE, 2018.
Under the general editorship: V. Akre, A. Rajan

The Fifth HCT Information Technology Trends (ITT 2018) is a major international research conference for the presentation of innovative ideas, approaches, technologies, research findings and outcomes, best practices and case studies, national and international projects, institutional standards and policies on Emerging Technologies for Artificial Intelligence. ITT 2018 will provide an outstanding forum for researchers, practitioners, students, policy makers, and users to exchange ideas, techniques and tools, raise awareness and share experiences related to all practical and theoretical aspects of Emerging Technologies for Artificial Intelligence, so as to develop solutions related to communications, computer science and engineering, control systems as well as interdisciplinary research and applications.

Chapters
Game Theoretic Approach for Applying Artificial Intelligence in the Credit Industry
Romanyuk K., , in: 2018 Fifth HCT Information Technology Trends (ITT).: IEEE, 2018. P. 1–6.
The law of accelerating returns can be viewed as a concept that describes acceleration of technological progress. The idea is that tools are used for developing more advanced tools that are applied for creating even more advanced tools etc. A similar idea has been implemented in algorithms for advancing artificial intelligence. In this paper, the ...
Added: February 28, 2019
Priority areas: IT and mathematics
Language: English
Text on another site
Keywords: искусственный интеллектмашинное обучениеинформационная технологияанализ данныхdata miningmachine learningExpert Systemsэкспертные системыartificial intelligenceInformation Technology
2018 Fifth HCT Information Technology Trends (ITT)
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Использование методов машинного обучения для повышения эффективности систем противодействия многоэтапных кибератак
Lebedev O. B., Левченко Д. Д., Черкасов Р. И., Инженерный вестник Дона 2026 № 2(134) Статья 7
This article analyzes the impact of artificial intelligence (AI) and machine learning technologies on the development and transformation of cyberthreats and the creation of highly effective cyberdefense systems. Key trends in AI evolution are discussed, including data-, model-, application-, and human-centric approaches, and their role in shaping both defensive and offensive capabilities. It is shown ...
Added: September 12, 2026
Может ли ИИ производить значение? Семантический капитал, «стохастический попугай» и пределы антропоцентризма
Филатова А. А., Эпистемология и философия науки 2026 Т. 63 № 2 С. 154–171
intelligence (hereafter, AI), particularly in the form of large lan guage models, has prompted a renewed wave of philosophical debates concerning the semantic competences of technical sys tems and the criteria for evaluating the outputs they generate, especially textual outputs. This article examines a set of central problem areas and their treatment in contemporary philosophical ...
Added: September 10, 2026
Экономический анализ встроенного надзора за централизованными финансами
Ионцев М. А., Финансы и кредит 2025 Т. 31 № 12 С. 53–62
Предмет. Надзор за децентрализованными финансами. Цели. Поиск оптимальных условий для эффективного осуществления встроенного надзора за децентрализованными финансами. Методология. Использованы математические подходы, общенаучные и специальные методы научного познания: ретроспективный, системный и функционально-структурный анализ, классификация; инструментальные приемы сравнения и обобщения. Результаты. Рассмотрены основные проблемы экономического анализа встроенного надзора за децентрализованными финансами и пути решения этих проблем. Определены ...
Added: September 10, 2026
Модель глубокого обучения для автоматизированной интерпретации медицинских электрофизиологических данных
Lebedev O. B., Шмелева А. Г., Гежа Н. С., Информатика и автоматизация (Труды СПИИРАН) 2026 Т. 25 № 3 С. 720–750
This paper describes the development of a neural network model for automated analysis of medical data in electrophysiology based on deep learning methods. The relevance of this work stems from the growing need to improve the objectivity, speed, and accuracy of processing complex spatiotemporal signals, such as ECG or EEG. Convolutional neural networks (CNNs), which ...
Added: September 10, 2026
Знание в цифровую эпоху: избыточность романтизма
Faul B., Эпистемология и философия науки 2026 Т. 63 № 2 С. 41–50
In the article “Knowledge in the Digital Age: The Redundancy of Romanticism”, a critical analysis is offered of Konstantin Ocheretyany’s argumentation as presented in his essay “Epistemic Nihilism and Existential Romanticism: Knowledge in the Digital Age”. Two scenarios proposed by the author – techno-pessimistic and techno-optimistic – are examined, and it is shown that the ...
Added: September 9, 2026
Анализ согласованности голосования стран ЕАЭС и ОДКБ в ГА ООН с помощью иерархической кластеризации
Вохминцев И. В., Вестник международных организаций: образование, наука, новая экономика 2026 Т. 21 № 2
The EAEU and the CSTO are Russia’s principal regional international organisations. Understanding, assessing, and analysing the foreign-policy positions of the countries that belong to them is a matter of the state’s national interests. This determines the purpose of the study: to identify the level and the form of cohesion in the voting of EAEU and ...
Added: September 7, 2026
Анализ безопасности хранения биометрических данных с использованием FaceNet
Starodubov K., Гвасалия Г. В., Карасев П. И., Нано-био-технологии. Тепло- и электроэнергетика. Математическое моделирование: сборник статей III международной научно-практической конференции (Липецкий государственный технический университет, Липецк, Россия) 2025 С. 219–223
This paper discusses the concept of neural networks, convolutional neural networks, their architecture and their operation principle. The main attention is paid to testing the reliability of storing images of people as embeddings, which are considered to be unrecoverable in the original image. In the course of the research an experiment is carried out: the ...
Added: September 6, 2026
Свобода воли
Poddiakov A., В кн.: Что такое Свобода? Свобода воли, свободы личности, конституционная модель и законодательное регулирование.: М.: Новые печатные технологии, 2025. С. 90–101.
Свобода воли обсуждается в контексте философии, психологии, нейронаук и развития технологий. В заключение ставятся проблемные вопросы. Физические миры с различными возможностями свободы воли? (1) Если наш физический мир не является лучшим для существования свободы воли, то как насчет других?Пусть свободы воли в нашем мире, и правда, нет. Возможны ли другие физические миры, делающие возможной свободу воли? Могут ли ...
Added: September 6, 2026
Scalable machine learning approach to disordered s-wave superconductors
Неверов В. Д., Красавин А. В., Vagov A. et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 P. 1–6
We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...
Added: September 5, 2026
Банки и экосистемы
Бровкина Н. Е., Терновская Е. П., Мешкова Е. И. et al., В кн.: Банк в современной экономикеКн. Банк в современной экономике.: М.: КноРус, 2026. С. 127–147.
Banks are the central link in the national financial market and the economy as a whole. The share of bank assets in the asset structure of the Russian financial market, despite a slight decline, remains dominant relative to other participants, reaching 80%. Russian banks are multifaceted. On the one hand, they provide working capital financing, long-term ...
Added: September 3, 2026
Цифровой двойник: правовая природа, уровни и опыт Бразилии
Shchennikova I., Закон 2026 № 8 С. 84–93
Digital twin technology is widely used in various sectors of the economy, modeling subjects and objects based on data about them and the environment surrounding them. In the broadest sense, the goal of a digital twin is to solve a problem including the problem of studying of the modeled subject or object and ensuring its ...
Added: August 28, 2026
Асимметрия информации на рынке адвокатских услуг: создание рейтинга методами машинного обучения
Kazun A., Девятников В. Ю., Белов М. Д., Вопросы теоретической экономики 2026 Т. 3 № 32 С. 115–135
Как понять, хорош адвокат или нет? В данной статье мы описываем методологию, позволяющую измерять качество юридической помощи через разницу между тем, что предсказывает модель машинного обучения по объективным характеристикам дела, и тем, чем дело закончилось в реальности. Мы исходим из предпосылки, что если у адвоката дела стабильно заканчиваются лучше ожидаемого, то он делает свою работу хорошо. ...
Added: August 28, 2026
Искусственный интеллект и этика будущего
Medushevsky A. N., Liberal.ru 2026
Today, more than ever before, the contribution of new technologies shapes the conditions of humanity's existence as a biological species, prompting a debate about its prospects for survival. This process of transformation—which spans every sphere of social and moral regulation, from family relations and child-rearing to the very meaning of life—is dividing public opinion between ...
Added: August 26, 2026
Шизофрения и её влияние на лексический уровень языка
Tasenko O., Untila K., Shishkovskaya T. et al., В кн.: Десятая международная конференция по когнитивной науке: Тезисы докладов. Пятигорск, 26–30 июня 2024 г.: Пятигорск: ОПиИД УНР ФГБОУ ВО «ПГУ», 2024. С. 328–329.
Шизофрения – это хроническое психическое расстройство, которое выражается как комбинация психотических симптомов, таких как галлюцинации, бред и дезорганизация когнитивных функций. Для шизофрении характерны трудности с поиском слов, приближение слов, то есть  использование сходных по значению с нужным или же описывающих предполагаемое значение, а также использование негативной лексики чаще, чем в группе нормы, в том числе при  описании ...
Added: August 24, 2026
Volatility Forecasting From Econometrics To Artificial Intelligence: A Four-Stage Review Of The Evidence Pipeline From Forecast Accuracy To Portfolio Performance
Nikita I. Lysenok, International Journal of Computer Information Systems and Industrial Management Applications 2026 Vol. 18 No. 18s P. 1406–1430
A volatility forecast becomes useful only after it has passed through four stages: a model produces it, a trading rule consumes it, a portfolio aggregates the result, and an investor evaluates that result against a utility function. Each stage has its own mature evaluation apparatus, and each is studied in isolation. This review traces the ...
Added: August 23, 2026
On calibration of remote sensing retrievals of ecosystem respiration (Reco) with tower measurements over,Russian forests and wetlands
Shabanov N., Kuricheva O., Kurbatova J. et al., / Series Working Papers SSRN "Department of Economics Ca’ Foscari University of Venice". 2026.
The carbon balance of an ecosystem is the difference between Gross Primary Productivity (GPP) and Ecosystem Respiration (Reco) as expressed by Net Ecosystem Exchange (NEE). While remote sensing retrievals of GPP have reached maturity, Reco estimation remains underexplored and ultimately cast bias on NEE. Here we present an end-to-end multi-scale analysis of the mechanism of ...
Added: August 21, 2026
Which Model Families Pay? Econometric, Gradient Boosting and Recurrent Neural Network Volatility Forecasts in Active Trading Strategies on the Russian Stock Market
Nikita I. Lysenok, International Journal of Computer Information Systems and Industrial Management Applications 2026 Vol. 18 No. 17s P. 533–549
This paper asks which families of volatility forecasting models create economic value in active trading, and through which integration channel that value is transmitted. Seven models drawn from four families — econometric (GJR-GARCH, HAR-J), gradient boosting (XGBoost, LightGBM), recurrent neural networks (LSTM, GRU) and a hybrid combining HAR-J with boosting — are compared on the ...
Added: August 18, 2026
Cambodia's Policy on the Artificial Intelligence: Determinants, Directions, Interim Outcomes
Kanaev E., Southeast Asia: Actual Problems of Development 2026 Vol. 1 No. 1(70) P. 153–163
The article aims to specify the degree of success Cambodia has been able to achieve in developing its Artificial Intelligence (AI) ecosystem seen through the prism of the state of the country’s non-digital assets as an outcome of its economic modernization, as well as of its digital projects and initiatives. Outlining the specifics of Cambodia’s ...
Added: July 30, 2026
ASEAN and the Resolution of the South China Sea Issue: Assessing Digital Limitations
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
Three Algorithms for Merging Hierarchical Navigable Small World Graphs
Ponomarenko A., / Series Computer Science "arxiv.org". 2025.
This paper addresses the challenge of merging hierarchical navigable small world (HNSW) graphs, a critical operation for distributed systems, incremental indexing, and database compaction. We propose three algorithms for this task: Naive Graph Merge (NGM), Intra Graph Traversal Merge (IGTM), and Cross Graph Traversal Merge (CGTM). These algorithms differ in their approach to vertex selection ...
Added: July 30, 2026
The Evolution Of Law Concept Of Information: From Philosophical Abstraction To Quantum Information And Cryptography In The Context Of Growing Cyber Threats And The Transition To Post-Quantum Security Method
Polyakov S., Smeshkova L., Lapin V. et al., Veredas do Direito 2026 Vol. 23 No. 11 Article e237531
The article examines the significant transformation of the concept of information and its impact on modern security technologies. Until the middle of the 20th century, the concept of information was considered as a philosophical category related to the transfer of knowledge and meaning. With the advent of Claude Shannon's communication theory, information was reinterpreted as ...
Added: July 27, 2026
Ответственность за вред, причиненный с использованием технологии искусственного интеллекта: проблемы и перспективы европейской гармонизации
Иноземцев М. И., Stepanov S., Закон 2026 № 7 С. 193–203
In 2022, the European Commission introduced a draft directive on liability for harm caused through the use of artificial intelligence systems. The hallmark of the proposal lies in its decision to retain a fault-based liability regime, even when harm arises in connection with the deployment of AI technologies. The draft further includes several procedural mechanisms ...
Added: July 27, 2026
Growth in noncommutative algebras and entropy in derived categories
Piontkovski D., / Series arXiv "math". 2026.
A noncommutative projective variety is defined, following Artin and Zhang, by a graded coherent algebra 𝐴. The category of coherent sheaves is then the quotient qgr(𝐴) of the category of finitely presented graded modules by the subcategory of torsion modules. We consider the categorical and polynomial entropies of the Serre twist, that is, of the ...
Added: June 23, 2026
Multilinear nilalgebras and the Jacobian theorem
Piontkovski D., / Series arXiv "math". 2025.
If a symmetric multilinear algebra is weakly nil, then it is Engel. This result may be regarded as an infinite-dimensional analogue of the well-known Jacobian theorem, which states that if a polynomial mapping has a polynomial inverse, then its Jacobian matrix is invertible. This refines a theorem of Gerstenhaber and partially answers a question posed ...
Added: June 23, 2026
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