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Game Theoretic Approach for Applying Artificial Intelligence in the Credit Industry
P. 1–6.
Romanyuk K.
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 results of applying these algorithms in games are discussed. Nevertheless, real life tasks seem more complicated. The game theoretic approach can be applied for transition from theoretical and unrealistic games to more complex and practical tasks. Applications of the game theoretic approach to advance artificial intelligence in solving tasks in the credit industry are proposed.
Glushko A., Neznanov A., Овчинников С. et al., В кн.: Интеллектуальный анализ данных в нефтегазовой отрасли.: М.: ООО «Геомодель Развитие», 2024. С. 140–143.
With the development of monitoring systems, now we have the opportunity to collect key performance indicators of devices in the process of artificial lift. Every day a huge amount of telemetry is generated by our devices, which can be used to forecast the working mode and health state of the equipment after the process of ...
Added: April 29, 2026
Kirsanova E., Pakshin P., Право и экономика 2026 № 3 (456) С. 26–34
The article examines the legal regime of intellectual property created by artificial intelligence. Changes to the existing legal framework towards recognizing artificial intelligence as a legal entity would violate the rationale and fundamental principles of the intellectual property rights system. This article provides an overview of different views on the rationale for granting copyright to ...
Added: April 28, 2026
Karpov A., Dvoynikova A., Ryumina E., , in: Lecture Notes in Networks and SystemsVol. 776.: Springer, 2023. P. 3–13.
Abstract. The paper presents a brief review of intelligent interfaces and systems of human-machine interaction. To date, few intelligent interfaces and systems are used in various areas of industry. All the systems of human-machine interaction can be divided into intelligent synthesis and analysis systems. Intelligent synthesis implies the presentation of information from the system to ...
Added: April 25, 2026
Kychkin A., Chernitsin I., Прикладная информатика 2026 Т. 21 № 1 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
Krasnov L., Malikov D., Kiseleva M. et al., Journal of Medicinal Chemistry 2026 Vol. 69 No. 8 P. 8838–8851
In this work, we developed a straightforward data-driven approach to predict the cytotoxicity of metal complexes based entirely on their (metal + ligands) composition. To this end, we have manually curated MetalCytoToxDB─a comprehensive experimental database comprising 26,500 IC50 values for 7050 metal complexes against 754 cell lines from 1921 articles. Based on these, machine learning ...
Added: April 23, 2026
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
Ершов И. А., Системная инженерия и инфокоммуникации 2025 № 4 С. 11–14
The heat consumption of residential buildings is a stochastic series. It is necessary for the design of thermal energy regulators the creation of a neural network model. In the paper, the model is carried out based on Long Short-Term Memory (LSTM). The high accuracy of reproducing the series was achieved by training the model on ...
Added: April 22, 2026
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
Makarov D. M., Kalikin N., Gurikov P. et al., Journal of Supercritical Fluids 2026 Vol. 235 Article 106979
Supercritical CO2 (scCO2 ) is an environmentally friendly solvent, but its low polarity limits the solubility of polar compounds. Cosolvents are commonly used to enhance solvation capability, yet comprehensive datadriven studies are scarce. We compiled the largest dataset to date — 4401 experimental solubility records with 22 cosolvents for 93 nonionic solutes, plus 4855 records ...
Added: April 19, 2026
Lysenok N., Фундаментальная и прикладная математика 2026 Т. 26 № 3 С. 33–42
This study examines the impact of realized volatility forecasts on the performance of active trading strategies in the Russian equity market. Using a sample of 17 liquid stocks over the period 2014–2026, a hybrid forecasting model is developed that combines HAR-J with gradient boosting; its superiority over the baseline HAR-J specification is confirmed by the ...
Added: April 17, 2026
Plesovskikh A. E., Journal of Applied Economic Research 2023 Т. 22 № 2 С. 323–354
Modern studies widely discuss the role of special economic zones in stimulating the economic growth and development of Russia, generating the necessary investment flows and increasing the country's innovative potential by expanding production in high-tech sectors of the economy with high added value. The purpose of the study is to model the process of generating ...
Added: April 13, 2026
Опыт генерации оценок эмоциональной валентности и возбуждения слов на основе символьно-уровневой CNN
Lyusin D., Валуева Е. А., Sysoeva T., В кн.: Психология познания: Материалы Всероссийской научной конференции, ЯрГУ, Институт психологии РАН, 5–6 декабря 2025 г.: Институт психологии РАН, 2026. С. 310–314.
Эмоциональная окраска слов широко используются в различных академических и прикладных исследованиях, от анализа текстов до понимания когнитивных процессов. Актуальной задачей является создание объёмных датасетов с оценками слов по ряду эмоциональных параметров. Современные методы машинного обучения, основанные на семантической близости слов, извлекаемой из текстовых корпусов, демонстрируют высокие корреляции с человеческими оценками, однако иногда наблюдаются существенные расхождения. ...
Added: April 10, 2026
Fedorov A., Вакку Г. В., Лебедева С. Э., Галактика медиа: журнал медиа исследований 2026 Т. 8 № 2 С. 163–182
With the increasing volume of data, university faculty may spend years processing and organizing information. Personalized assistance, content recommendations, data collection for literature reviews, and bibliographic citation formatting reinforce the role of artificial intelligence and neural network tools for scholarly communication. This paper discusses practical examples of using tools such as Elicit, SciSpace, Consensus, Undermind, ...
Added: April 7, 2026
Efremov A., Portnoy S., Волошин А. Д., Первая миля 2025 № 8 С. 20–28
Выполнен комплексный обзор методов машинного обучения (ML), применяемых для повышения устойчивости сигнала к помехам в каналах связи. Бурное развитие поколений беспроводной связи, активная разработка концепции 6G предъявляют высокие требования к задержке, скорости и надежности передачи данных. Традиционные подходы к защите от помех, основанные на строгих аналитических моделях, зачастую не справляются с хаотичной природой плотных гетерогенных ...
Added: April 4, 2026
Лескина Э. И., Вестник Воронежского государственного университета. Серия: Право 2025 № 4(63) С. 157–165
The speed of development and distribution of digital technologies increases every year, as do the areas of their application. Artificial intelligence systems solve creative problems, predictive analytics are used in law enforcement agencies, and such areas as healthcare, transport, education and many other areas do not go unnoticed. At the same time, part of public ...
Added: April 1, 2026
Pakshin P., Legal Issues in the Digital Age 2026 Vol. 7 No. 1 P. 32–48
Artificial intelligence plays a significant role in automation, minimizing human intervention in fields such as medicine, art, and law. Despite the historically close relationship between art and technology, generative AI has expanded the potential for creative activity. A significant catalyst for this process has been the proliferation of pre-trained AI systems, which have accelerated the ...
Added: March 31, 2026