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News
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Научные труды Донецкого национального технического университета. Серия: системный анализ и информационные технологии в науках о природе и обществе

Issue 1(2)–2(3). Donetsk : Донецкий национальный технический университет, 2012.
Under the general editorship: А. А. Минаев
Chapters
Representing Earth remote sensing data as time series
Rodriges Zalipynis R. A., , in: Научные труды Донецкого национального технического университета. Серия: системный анализ и информационные технологии в науках о природе и обществеIssue 1(2)–2(3).: Donetsk: Донецкий национальный технический университет, 2012. P. 135–145.
To date, all remote sensing data are represented and stored as temporal sequences of separate “snapshots” – rasters or grids. This makes impossible to quickly obtain a time series of a variable values for the full available period for a region of a coordinate grid. Trend research – one of the most important topics in ...
Added: October 22, 2015
Новые методы сжатия временных рядов экологических показателей
Чуприн В. И., Rodriges Zalipynis R. A., В кн.: Научные труды Донецкого национального технического университета. Серия: системный анализ и информационные технологии в науках о природе и обществеIssue 1(2)–2(3).: Donetsk: Донецкий национальный технический университет, 2012. С. 192–195.
The paper analyzes storage peculiarities of satellite Earth remote sensing data time series. We propose methods for their compression based on the discovered peculiarities exploiting different schemes of Huffman coding. One of the proposed methods reaches 6% increase in the compression ratio (93%) in contrast to the deflate method used in Java SE6 (87%), for a time series of ...
Added: October 22, 2015
Исследование загрязнения атмосферного воздуха Европы аэрозолем с использованием данных дистанционного зондирования Земли
Rodriges Zalipynis R. A., В кн.: Научные труды Донецкого национального технического университета. Серия: системный анализ и информационные технологии в науках о природе и обществеIssue 1(2)–2(3).: Donetsk: Донецкий национальный технический университет, 2012. С. 93–98.
For the first time the maps of air pollution risks by aerosol over the territory of Europe with resolution 1.0 º × 1.0 º (110 km × 72 km for the territory of Ukraine) were obtained. It is shown that moderate and high risk levels of the areas that are most polluted by aerosol in Europe (except the ...
Added: October 22, 2015
Priority areas: IT and mathematics
Language: Ukrainian
Keywords: компьютерные наукиcomputer science
Научные труды Донецкого национального технического университета. Серия: системный анализ и информационные технологии в науках о природе и обществе
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Десятая, юбилейная Всероссийская научная студенческая конференция НИУ ВШЭ — Нижний Новгород, продолжает традицию мероприятий, проводимых ежегодно с 2017 года. Конференция 2026 года собрала более 250 докладчиков из 57 образовательных и научных учреждений России, Израиля и Узбекистана. Мероприятие стало значимой площадкой для молодых учёных, стремящихся раскрыть свой потенциал и внести вклад в развитие науки и образования. ...
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Three Algorithms for Merging Hierarchical Navigable Small World Graphs
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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
"Труды МФТИ" Том 17, № 4 (68) (2025)
МФТИ, 2025.
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Added: July 4, 2026
Growth in noncommutative algebras and entropy in derived categories
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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
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Added: June 23, 2026
Международная конференция «Математические идеи академика П.Л. Чебышёва, их приложения в естественных науках и технологи- ях искусственного интеллекта», приуроченная к 205-й годовщине со дня его рождения» : Материалы конференции
Калуга: Калужский печатный двор, 2026.
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Added: June 20, 2026
ML-based Fast Simulation of FARICH Responses
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Added: May 19, 2026
Natural hazard database from Internet publications: text mining with a large language model
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Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena
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We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Using predefined vector systems to speed up neural network multimillion class classification
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Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
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Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection
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