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News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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XXIII Международная конференция по мягким вычислениям и измерениям (SCM-2020). Сборник докладов.

СПб. : СПбГЭТУ «ЛЭТИ», 2020.
Compiler: С. О. Шапошников
Chapters
О выражении лингвистических операторов в виде распределённого нейросетевого алгоритма
Demidovskij A., Babkin E., В кн.: XXIII Международная конференция по мягким вычислениям и измерениям (SCM-2020). Сборник докладов.: СПб.: СПбГЭТУ «ЛЭТИ», 2020. С. 206–209.
Рассматривается важная проблема интеграции символической и суб-символической парадигмы вычислений в системах массовой параллельной обработки данных, таких как Интернет Вещей. Данная проблема исследуется применительно к области лингвистического принятия решений. В работе выдвигается новый подход выражения лингвистических операторов агрегации оценок экспертов в терминах динамики нейронной сети. Данный подход предполагает два последовательных шага: выражение лингвистических операторов в виде ...
Added: May 29, 2020
Сравнительный анализ методов многокритериального принятия решений: ELECTRE, TOPSIS и ML-LDM
Demidovskij A., В кн.: XXIII Международная конференция по мягким вычислениям и измерениям (SCM-2020). Сборник докладов.: СПб.: СПбГЭТУ «ЛЭТИ», 2020. С. 234–238.
Рассматриваются методы многокритериального принятия решений, цель которых заключается в агрегации оценок, предоставляемых стейкхолдерами, с целью ранжирования альтернативных решений возникшей проблемы и выбора лучшего из них. В частности, анализируются и сравниваются следующие методы: ELECTRE, TOPSIS и ML-LDM. Одним из актуальных направлений исследований является включение в процесс принятия решений нечётких оценок: интервальных, качественных и т.д. Исследуемые в ...
Added: May 29, 2020
Priority areas: IT and mathematics business informatics mathematics engineering science
Language: Russian
Text on another site
Keywords: мягкие вычисленияискусственные нейронные сети
XXIII Международная конференция по мягким вычислениям и измерениям (SCM-2020). Сборник докладов.
Similar publications
A Three-Party W-State Quantum Secret Sharing Protocol with X-Gate Encoding and Forbidden-Outcome Detection
Teregulov T., Loubenets E. R., / Series Quantum Physics "arXiv". 2026. No. 2609.31472.
We develop a new three-party quantum secret-sharing (QSS) protocol based on a three-qubit W state. This protocol encodes the secret-sequence bits using X gates and employs randomly selected Hadamard operations and measurement bases to generate information and security-test rounds. We evaluate the efficiency of the proposed protocol and analyze its security against an internal adversary ...
Added: September 28, 2026
Pairings on the algebra of Laurent series over a ring
Levashev V., / Series arXiv "math". 2026. No. 2609.06010.
We prove that continuous A-bilinear pairings on the ring of Laurent series that are invariant under continuous automorphisms coincide, up to a constant, with the pairing given by the residue of a differential form over any commutative associative ring with identity. ...
Added: September 24, 2026
Iterative construction of the R-matrices in arbitrary dimensions
Pyatov P. N., Pivovarov P. A., / Series math "arxiv.org". 2026. No. 2609.06274.
We investigate a special ansats that allows for an iterative solution of the constant Yang-Baxter equation. Testing this ansatz, we construct four sequences of the constant R-matrices. In each sequence the R-matrices act on the tensor squares of vector spaces of linearly growing dimensions. Each R-matrix also depends on a single complex parameter. By analyzing the ...
Added: September 24, 2026
On static manifolds with boundary admitting a nowhere-vanishing static potential
Medvedev V., / Series arXiv "math". 2026.
We study complete static manifolds with boundary admitting a nowhere-vanishing static potential. Our main result shows that, under a natural lower bound relating the scalar curvature and the boundary mean curvature, a simple static manifold with boundary must in fact have positive scalar curvature, negative boundary mean curvature, and be compact; we also obtain explicit ...
Added: September 19, 2026
Vague stimulating ideas, images and metaphors in scientific thinking: researchers' work with horizons of unclear knowledge
Poddiakov A., / Series Social Science Research Network "Social Science Research Network". 2026. No. 7437658.
Clarity of knowledge and reasoning is necessary in many cases. Yet vagueness in scientific thinking related to surprise, curiosity, "ability to engage with not-knowing" (de Freitas) and abductive reasoning is also a crucially important source of scientific creativity which supplements combinatorial logic when dealing with the already known. Starting from studies by C. S. Peirce ...
Added: September 15, 2026
On phase-lock area parquet in a special slow-fast limit of model of Josephson junction.
Glutsyuk A., / Series arXiv "math". 2026.
B.Josephson (Nobel Prize, 1973) predicted a tunnelling effect for a system of two superconductors separated by a narrow dielectric (such a system is called Josephson junction): existence of a supercurrent through it and equations governing it. The overdamped Josephson junction is modeled by the family of differential equations on the 2-torus, dθdτ=1ω(cosθ+B+Acosτ), which is known as ...
Added: September 8, 2026
Infinitely many graph manifolds with unique geometrical piece that admit arbitrarily many Anosov flows
Pochinka O., Shmukler V., / Series math.RT "arXiv:1808.06395 [math.RT]". 2026.
Anosov flows have a long and rich history, firstly motivated by the study of geodesic flows in negative curvature surface by Anosov and Sinai. Not every closed manifold admits an Anosov flow for well-known reasons: the fundamental group of a 3-manifold M admitting an Anosov flow must have exponential growth, and M must be universally covered by R3. Nevertheless, there ...
Added: August 31, 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
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
New bound on S1× S2-setting Bell locality of a nonseparable Werner state
Loubenets E. R., / Series arxiv.org "quant-ph". 2026. No. 2607.18050.
In many quantum applications it is important to know whether or not a Bell nonlocal two-qudit state exhibits its nonlocality under correlation scenarios with some given numbers S1,S2≥1 of generalized quantum measurements at two sites. In the present article, we find analytically a new general locality condition sufficient for a  nonseparable Werner state with a ...
Added: July 21, 2026
On functional equations for Chow polylogarithms
Bolbachan V., / Series math "arxiv.org". 2024.
Chow polylogarithms are some special functions arising in explicit description of the Beilinson regulator map. The most interesting functional equation for this function reflects its vanishing on the boundary in the Bloch's cycle complex. We show that this functional equation formally follows from more simple ones, namely skew-symmetry, functoriality and multiplicativity. To prove this, we study ...
Added: July 16, 2026
On Goncharov’s conjecture in next to Milnor degree
Bolbachan V., / Series math "arxiv.org". 2024.
Let K be a field of characteristic zero. We prove that its motivic cohomology in degree m−1 and weight m is rationally isomorphic to the cohomology of the polylogarithmic complex. This gives a partial extension of A. Suslin theorem describing the indecomposable K3 of a field. ...
Added: July 16, 2026
Statistical inference based on band-limited kernels: Rational-infinitely divisible distributions and beyond
Panov V., Ryabchenko A., / Series arXiv "stat.ME". 2026. No. 2607.05048.
This paper investigates the problem of statistical inference for a mixture distribution consisting of a discrete and a continuous component, with a particular focus on the class of rational-infinitely divisible distributions. We consider non-parametric estimation of both components of the mixture as well as the quasi-L{é}vy measure, assuming that the mixture belongs to the class ...
Added: July 9, 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
Аналитический обзор методов автоматического распознавания вовлеченности пользователя в виртуальную коммуникацию
Dvoynikova A., Кагиров И., Карпов А. А., Информационно-управляющие системы 2022 № 5 (120) С. 12–22
Введение: решение автоматическими средствами задачи распознавания и оценивания степени вовлеченности пользователя в процесс человеко-машинного взаимодействия или телекоммуникации является актуальным в области компьютерного распознавания состояний человека. Это необходимо для проектирования приложений дистанционного обучения, бизнеса и развлечений. Цель: провести сравнительный анализ существующего информационного обеспечения и методов в области автоматического распознавания и оценивания вовлеченности пользователя в процесс человеко-машинного ...
Added: April 24, 2026
Экономические и социальные аспекты атомной энергетики в условиях развития технологий искусственного интеллекта
Podchufarov A., Galkina A. N., Ванина С. С. et al., Экономика и управление: проблемы, решения 2025 Т. 5 № 4 С. 61–74
Under modern conditions, the introduction of artificial intelligence technologies is becoming a significant factor in the development of high-tech industries. The article presents the results of a study of the prospects for the use of intelligent analytical systems in nuclear energy. The experience of foreign countries is analyzed and the features of successful projects using ...
Added: June 5, 2025
Application of ML methods to predict residual stresses and strains after wire drawing process
Dmitriy Demin, Ilya Grebenkin, International Journal of Advanced Manufacturing Technology 2024 Vol. 133 No. 7 P. 3461–3473
It is well known that residual stresses and accumulated deformations during drawing processes can influence mechanical properties of the resulting products. This paper proposes the use of machine learning methods, such as artificial neural networks (ANN) and polynomial regression, to gain insight into the nature of these distributions across the cross-section of round wires. The ...
Added: July 17, 2024
Synthesis of Datasets for Neural Networks Based on Expert Knowledge
Rabchevskiy A., Ashikhmin E., Yasnitsky L., , in: Cyber-Physical Systems and Control II.: Springer, 2023. P. 535–544.
The problem of creating datasets for training and testing neural networks is described in the example of the task of social network management. A method of expert dataset synthesis based on experts’ knowledge of the subject area is proposed. The essence of the method lies in the fact that sets are generated randomly within the ...
Added: November 20, 2023
Интегрированные модели и мягкие вычисления в искусственном интеллекте ИММВ-2022. Сборник научных трудов XI Международной научно-практической конференции. В 2-х томах, том 1
Универсум, 2022.
Конференция посвящена памяти вдохновителей и организаторов конференции Валерия Борисовича Тарасова и Эвклида Герасимовича Зафирова. Во втором томе трудов публикуются доклады участников конференции, представленные на следующих секциях: Секция 4 «Инженерия знаний и онтологии», Секция 5 «Когнитивные модели в искусственном интеллекте», Секция 6 «Гибридные интеллектуальные системы», Секция 7 «Интеллектуальные агенты, роботы и коллективы роботов», Секция 8 «Интеллектуальное ...
Added: March 17, 2023
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Skuratov M., Pugach N., [б.и.], 2021.
СБОРНИК ТЕЗИСОВ МЕЖДУНАРОДНОЙ НАУЧНОЙ КОНФЕРЕНЦИИ «УФИМСКАЯ ОСЕННЯЯ МАТЕМАТИЧЕСКАЯ ШКОЛА – 2021» ...
Added: April 16, 2022
Труды Юбилейной X-й Международной научно-практической конференции «Интегрированные модели и мягкие вычисления в искусственном интеллекте». Т. 2
Kharlamov A. A., Жаркой Р. М., [б.и.], 2021.
Труды Юбилейной X-й Международной научно-практической конференции «Интегрированные модели и мягкие вычисления в искусственном интеллекте». Т. 2 ...
Added: January 8, 2022
Адаптация нейронных машин Тьюринга для задачи агрегации лингвистических оценок в нейросимволических системах поддержки принятия решений
Demidovskij A., Babkin E., Информационно-управляющие системы 2021 № 5 С. 40–50
Introduction: The construction of integrated neurosymbolic systems is an urgent and challenging task. Building neurosymbolic decision support systems requires new approaches to represent knowledge about a problem situation and to express symbolic reasoning at the subsymbolic level. Purpose: Development of neural network architectures and methods for effective distributed knowledge representation and subsymbolic reasoning in decision support systems in ...
Added: November 3, 2021
Анализ точности и производительности нейронных сетей в OpenVINO Deep Learning Workbench
Demidovskij A., Тугарёв А. М., В кн.: I Национальный конгресс по когнитивным исследованиям, искусственному интеллекту и нейроинформатике.: М.: Общероссийская общественная организация «Российская ассоциация искусственного интеллекта», 2020. С. 89–98.
Современные нейросетевые методы позволяют получать результаты достаточного уровня качества для их использования при построении промышленных приложений. Поэтому возникает необходимость в системах, таких как OpenVINO Deep Learning Workbench, для анализа и оптимизации производительности нейронных сетей на целевых устройствах. В качестве основного инструмента для инференса используется открытая среда OpenVINO, предоставляющая широкие возможности оптимизации процесса выполнения сети на ...
Added: October 20, 2021
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