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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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История информационных технологий в СССР. Знаменитые проекты: компьютеры, связь, микроэлектроника

M. : -, 2016.
Under the general editorship: Ю. В. Ревич
Chapters
Ветры кибернетики: от шторма к штилю
Shilov V., В кн.: История информационных технологий в СССР. Знаменитые проекты: компьютеры, связь, микроэлектроника.: М.: Книма, 2016. Гл. 1 С. 16–36.
Сборник посвящен истории советских разработок в области информационных технологий из числа наиболее заметных, выполненных на мировом уровне или даже опережающем его. Многие из этих проектов существенно повлияли на мировую политику и стали неотъемлемой частью сложившегося политического ландшафта второй половины XX века. ...
Added: February 28, 2017
К вопросу об истоках отечественной компьютерной техники
Shilov V., Ревич Ю. В., В кн.: История информационных технологий в СССР. Знаменитые проекты: компьютеры, связь, микроэлектроника.: М.: Книма, 2016. Гл. 2 С. 37–48.
Сборник посвящен истории советских разработок в области информационных технологий из числа наиболее заметных, выполненных на мировом уровне или даже опережающем его. Многие из этих проектов существенно повлияли на мировую политику и стали неотъемлемой частью сложившегося политического ландшафта второй половины XX века. ...
Added: February 28, 2017
Research target: History and Archeology Computer Science
Priority areas: IT and mathematics engineering science
Language: Russian
Keywords: информационные технологиикибернетикакомпьютер
История информационных технологий в СССР. Знаменитые проекты: компьютеры, связь, микроэлектроника
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Added: April 30, 2026
"Возможно, мы оба заблуждаемся...": доклад В.М. Лавровского об англо-советской конференции историков 1958 года
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The publication establishes a full text of a report made by Professor Vladimir M. Lavrovsky at Lomonosov Moscow State University (Faculty of History). This report focuses on the results of his scientific mission to the Anglo-Soviet Conference (London, September 1958). Lavrovsky describes in details the discussion on his own report and accentuates the advantages of ...
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Образ идеального князя-воина в некрологах древнерусского летописания (XI – начало XIII в.)
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Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
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