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Star-Shaped Denoising Diffusion Probabilistic Models
P. 10038–10067.
Andrey Okhotin, Dmitry Molchanov, Arkhipkin V., Grigory Bartosh, Viktor Ohanesian, Aibek Alanov, Dmitry Vetrov
In book
Curran Associates, Inc., 2023.
Мухамедкаримова Д. Ф., Умуркулова М. М., Galyapina V. N. et al., Вестник Карагандинского университета. Серия Педагогика 2026 Т. 31 № 3 С. 69–77
Currently, artificial intelligence occupies a solid place among traditional pedagogical technologies and approaches, which is the subject of widespread discussion among domestic and foreign scientists and researchers. This is because the introduction of AI into higher education, despite its high potential, faces a wide range of economic, social, and ethical obstacles. These include resistance to ...
Added: October 6, 2026
Roshchina Y., Strebkov D., Roshchin S. et al., В кн.: Вестник Российского мониторинга экономического положения и здоровья населения НИУ ВШЭ (RLMS‑HSE). Вып. 16Вып. 16.: М.: Национальный исследовательский университет "Высшая школа экономики", 2026. С. 102–123.
The article examines the level of awareness, patterns of usage, and prevailing attitudes toward Artificial Intelligence (AI) in Russia. The study relies on data from an AI‑related questionnaire incorporated into the 2024 round of the Russia Longitudinal Monitoring survey – Higher School of Economics (RLMSHSE) and Google/Ipsos Multi‑Country AI Survey carried out in 2023. The ...
Added: October 5, 2026
Konstantinov A., Elizarova Anastasiya P., Utkin L., Computing, Telecommunications and Control 2026 Vol. 19 No. 1 P. 16–25
Decision trees and their ensemble extensions, such as random forests, are widely used as classification models due to their simplicity and interpretability. However, in many real-world tasks where class labels overlap in the feature space, standard decision trees rely on hard splits that create fragile decision boundaries. In these regions, small perturbations in the input ...
Added: October 2, 2026
Sorokin P., Morozova E., Goshin M. E. et al., Высшее образование в России 2026 Т. 35 № 3 С. 63–89
The purpose of this study is to empirically identify the potential of contemporary educators involved in university entrepreneurship support initiatives as potential drivers of ecosystem development. This is achieved through an analysis of their key individual characteristics, professional experience, pedagogical practices, and the institutional context of the university environment. To this end, based on a ...
Added: October 2, 2026
М.: ООО «Городу и миру», 2026.
Как мочили «Яблоко» и чем хороша Партия наивных дураков, кто вывел в люди советскую науку и что такое «русский ИИ». ...
Added: October 2, 2026
Белов Б. П., Kocharian R., Самойлов И. А. et al., Стандарты и качество 2026 № 10 С. 105–109
Acceptance of enterprise AI search requires checking answer correctness and access controls, defining acceptable errors, and assessing whether testing is sufficient. A record for individual acceptance criteria was developed. Its eight fields link requirements and risks to system configuration, testing, and the acceptance decision. The fields are mapped to provisions in four Russian standards. The ...
Added: October 1, 2026
Klochko O., Кузнецова М. П., Пространственная экономика 2026 Т. 22 № 3 С. 73–103
The article assesses China’s technological sovereignty in high-tech industries that form the ecosystem of physical artificial intelligence and its readiness to develop intelligent robotics. The aim of the study is to identify changes in China’s position in the global value chains of these industries through a comprehensive analysis of foreign value added used in production, ...
Added: October 1, 2026
International Joint Conferences on Artificial Intelligence, 2026.
Added: October 1, 2026
Belousov D., Экономическое возрождение России 2026 № 2 С. 85–97
Выявление ключевых тенденций и структурных сдвигов в развитии мировой экономики, обусловленных переходом от биполярной модели к «мозаичному» миру взаимодействующих центров силы, а также определение возможных позиций и роли России в формирующейся новой архитектуре международных экономических отношений в современных условиях приобретает важное не только теоретическое, но и прикладное значение. В результате исследования зафиксирован парадоксальный феномен: в ...
Added: September 29, 2026
Portnoy S., Efremov A., Кузьмин В. В., В кн.: Распределенные компьютерные и телекоммуникационные сети: управление, вычисление, связь (DCCN-2026): материалы XXIX Международной научной конференции. Россия, Москва, 21–27 сентября 2026 г.: М.: РУДН, 2026..
В работе рассматривается возможность улучшения помехоустойчивости каскадного кода, состоящего из внутреннего кода Хэмминга (4,3) и внешнего кода Рида — Соломона (7,5) над полем GF(8), за счёт дополнительной кор рекции ошибок на основе машинного обучения. Внешний код декодируется списочным алгоритмом с перебором стираний; рассматриваются списки дли ной 5 и 10 комбинаций. Для компенсации потерь помехоустойчивости при ...
Added: September 26, 2026
Тыров И. А., Васильев Ю. А., Владзимирский А. В. et al., Труды Института системного анализа Российской академии наук 2026 Т. 76 № 3 С. 79–89
Large language models (LLMs) in healthcare currently attract significant interest. This study compared GigaChat and YandexGPT by evaluating 1,200 LLM-generated responses to physician queries from outpatient and inpatient settings across 7 topics. Thirteen expert physicians assessed the responses using a 5-point scale across five criteria: relevance, correctness, safety, completeness, and language literacy. We performed paired ...
Added: September 22, 2026
Karpenko I., Человек 2026 Т. 37 № 5 С. 42–58
This article examines the question of agency in artificial intelligence systems. A distinction is proposed between three types of agency: ontological, functional, and ascribed. The central thesis is that functional agency is a genuine rather than metaphorical type, which is grounded through the teleological theory of function and through a critique of the argument from ...
Added: September 16, 2026
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
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
Lebedev O. B., Черкасов Р. И., Известия ЮФУ. Технические науки 2025 № 5(247) С. 254–276
This paper considers the application of artificial intelligence technologies, in particular computer vision, in visual information processing systems. A comprehensive analysis of neural network approaches to solving computer vision problems is carried out, including systematization of key types of problems: image classification, object detection and semantic segmentation. The architectural principles of convolutional neural networks are ...
Added: September 10, 2026