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News
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.
April 27, 2026
Fair Division: How Mathematics Helps to Divide the Indivisible
How can items be allocated among participants so that no one feels short-changed? Alexander Karpov, Assistant Professor at the Faculty of Economic Sciences, and his Singaporean colleague, Prof. Warut Suksompong, set out to find a mathematical answer to this question. In this interview, they discuss how a model of rational preferences is constructed, why one cannot rely on a simple sum of values, and where an algorithm that asks a minimal number of questions can be useful.
April 24, 2026
Electronics of the Future: Why Superconductors and Spintronics Work Together
It was once believed that superconductivity and magnetism avoided each other like the devil avoids holy water. However, modern nanostructures prove the opposite. A Russian theoretical physicist and Indian experimentalists have joined forces to create the electronics of the future—free from energy losses. Nataliya Pugach, Professor at the School of Electronic Engineering at HSE MIEM and Leading Research Fellow at the Quantum Nanoelectronics Laboratory, explains how a long-standing acquaintance in Cambridge grew into a mirror laboratory project with the Indian Institute of Technology Bombay (IIT Bombay), how superconducting spintronics works, and what surprises a researcher in India beyond the university campus.

 

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Intelligent Computing: SAI 2020: Volume 3

Vol. 1230. Book 3. Cham : Springer, 2020.
Under the general editorship: K. Arai, S. Kapoor, R. Bhatia

This book focuses on the core areas of computing and their applications in the real world. Presenting papers from the Computing Conference 2020 covers a diverse range of research areas, describing various detailed techniques that have been developed and implemented.

 

The Computing Conference 2020, which provided a venue for academic and industry practitioners to share new ideas and development experiences, attracted a total of 514 submissions from pioneering academic researchers, scientists, industrial engineers and students from around the globe. Following a double-blind, peer-review process, 160 papers (including 15 poster papers) were selected to be included in these proceedings.

 

Featuring state-of-the-art intelligent methods and techniques for solving real-world problems, the book is a valuable resource and will inspire further research and technological improvements in this important area.

Chapters
How many clusters? An Entropic Approach to Hierarchical Cluster Analysis
Koltsov S., Ignatenko V., Pashakhin S., , in: Intelligent Computing: SAI 2020: Volume 3Vol. 1230. Book 3.: Cham: Springer, 2020. P. 560–569.
Clustering large and heterogeneous data of user-profiles from social media is problematic as the problem of finding the optimal number of clusters becomes more critical than for clustering smaller and homo- geneous data. We propose a new approach based on the deformed R ́enyi entropy for determining the optimal number of clusters in hierarchical clustering ...
Added: October 22, 2019
Research target: Mathematics Computer Science
Priority areas: IT and mathematics
Language: English
DOI
Text on another site
Keywords: distributed computing technologynatural language processingsentiment analysismobile applicationshigh performance computing cloud computingartificial intelligencefeature extractionBiometricsBlockchainimage processing pattern recognition
Intelligent Computing: SAI 2020: Volume 3
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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, ...
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Influence of the Normal Magnetic Component to Magnetotail Current Sheet Forma
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During magnetospheric perturbations a relatively thin current sheet with thickness about several proton gyroradii forms in the Earth’s magnetotail. In a framework of the kinetic model describing current sheet thinning in the magnetotail, the processes of its formation are investigated depending on the normal magnetic field magnitude which affects both the current sheet structure and particle dynamics within ...
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Asymmetric Equilibrium Structures of Superthin Current Sheets: The Asymmetry of Plasma Sources
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Intelligent Interfaces and Systems for Human-Computer Interaction
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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 ...
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The universal gl-weight system and the chromatic polynomial
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