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Noise-induced artificial intelligence
Physical Review Research. 2022. Vol. 4. No. 4.
We show that unavoidable stochastic fluctuations are not only affecting information processing in a destructive or constructive way, but may even induce conditions necessary for the artificial intelligence itself. In this proof-of-principle paper we consider a model of a neuron-astrocyte network under the influence of multiplicative noise and show that information encoding (loading, storage, and retrieval of information patterns), one of the paradigmatic signatures of intelligent systems, can be induced by stochastic influence and astrocytes. Hence, astrocytes, recently proved to play an important role in memory and cognitive processing in mammalian brains, may play also an important role in the generation of a system's features providing artificial intelligence functions. Hence, one could conclude that intrinsic stochasticity is probably positively utilized by brains, not only to optimize the signal response but also to induce intelligence itself, and one of the key roles, played by astrocytes in information processing, could be dealing with noises.
Medvedev V., Annals of Global Analysis and Geometry 2026 Vol. 70 No. 2 P. 8–23
This paper studies three-dimensional compact static manifolds with boundary and positive scalar curvature. We prove that, under a suitable bound on the Ricci curvature, the orientable quotient of the Nariai static manifold with boundary is the only such manifold with connected boundary, provided that the zero-level set of the potential is connected and does not intersect ...
Added: September 19, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2026 Vol. 36 No. 2 P. 323–334
In this paper, an improved approach for automatic wildlife detection in natural environments based on the integration of a neural network architecture with a two-stream attention mechanism and a novel preclassification step based on infrared data has been presented. The proposed method addresses one of the key challenges in environmental monitoring: the need for scalable ...
Added: September 19, 2026
Aleksei Samarin, Nazarenko A., Kotenko E. et al., Proceedings of the ACM on Management of Data, USA 2026 Vol. 4 No. 1 P. 1–28
Modern knowledge and large volumes of data are increasingly encoded within neural networks, making the task of simplifying their structures and reducing the number of parameters especially relevant, both to improve efficiency and to facilitate deployment in resource-constrained environments. This paper presents a novel approach to neural network compression that addresses redundancy at both the ...
Added: September 19, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2025 Vol. 35 No. 2 P. 148–158
This paper describes our research on creating classifiers for microbial images (micrococci microscopy images) obtained from pictures of unfixed microscopic scenes. In our work, we propose an AutoML approach based on the automatic generation and analysis of the feature space for constructing the most optimal descriptors of microorganism images for subsequent classification. This makes it ...
Added: September 19, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2026 Vol. 36 No. 2 P. 302–312
The lack of annotated microscopic datasets remains a major obstacle to training robust deep learning models for microbial classification. In this paper, a novel data augmentation pipeline that uses visual–linguistic large-scale models to generate synthetic microscopic images of six different bacterial and nonbacterial classes has been proposed. Synthetic samples have gradually been added to the ...
Added: September 19, 2026
Springer, Cham, 2026.
computer vision ...
Added: September 19, 2026
Springer, Cham, 2026.
Added: September 19, 2026
FRUCT Oy, 2024.
Added: September 19, 2026
FRUCT Oy, 2024.
Added: September 19, 2026
FRUCT Oy, 2025.
Added: September 19, 2026
FRUCT Oy, 2026.
Added: September 19, 2026
Aleksei Samarin, Nazarenko A., Kotenko E. et al., Machine Learning and Knowledge Extraction 2026 Vol. 8 No. 8 P. 1–26
This paper presents a novel method for pruning deep neural networks based on the concept of flow, derived from the continuous modeling of signal propagation across layers. We derive flow functions for fully connected, convolutional, and self-attention architectures, and we propose a new iterative pruning algorithm, Iterative Flow-Aware Pruning (IFAP), that leverages these measures to ...
Added: September 19, 2026
Obukhov K., Раведовская У. Ю., Высшее образование в России 2026 Т. 35 № 1 С. 77–95
The article focuses on the strategies that Russian university lecturers use to maintain their professional status amid the active implementation of artificial intelligence technologies, specifically large language models. The objective is to identify and reconstruct the key strategies of symbolic defense and repositioning of the higher education teaching profession in the context of Russian higher ...
Added: September 18, 2026
Моисеев Г. В., Гуманитарные исследования в Восточной Сибири и на Дальнем Востоке 2026 № 2 (76) С. 58–68
The article presents a philosophical analysis of the transformation of labor in the context of the spread of AI technologies. Criticizing the notion of AI as an autonomous and neutral technology leading to the replacement of human labor, the author proposes to analyze the social consequences of AI development within the framework of automation processes ...
Added: September 17, 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
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
A. Yu. Borkina, Russian Japanology Review 2026 Vol. 9 No. 1 P. 30–48
The article examines the novel by Japanese writer Qudan Rie Tokyo Sympathy Tower, which was awarded the prestigious Akutagawa Literary Prize in 2024. The award sparked a wide discussion due to the writer’s use of generative artificial intelligence in her work, which not only suggested some ideas, but also became the prototype for one of ...
Added: September 2, 2026
Yu Z., Wang J., Wang Z. et al., Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2026 Vol. 384 No. 2326 Article 20250103
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
Talakauskas D., Пути России. Журнал cоциальных и этнографических исследований 2026 Т. 4 № 3 С. 44–67
An increasing number of organizations are implementing artificial intelligence (AI) technologies into various business processes, and the number of publications addressing aspects of AI’s application in the workplace is growing rapidly. Given the uncertainty surrounding the effects of AI implementation on the labor market, the time lag associated with its integration, and the novelty and ...
Added: June 24, 2026