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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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Анализ влияния корпоративного венчурного финансирования на развитие инновационных проектов на предприятии

Научные исследования и разработки. Российский журнал управления проектами. 2024. Т. 13. № 3. С. 10–20.
Tsiteladze D.

The purpose of the work is to conduct a comparative analysis of the factors of corporate venture financing that influence the innovative activity of an enterprise. The object of research in the work is the system of financing innovative projects, and the subject of research is the factors influencing the results of the innovative activity of an enterprise.
 In the course of the work, the main tasks were solved, which are related to the analysis of factors in the development of corporate ventures and points of its growth, the analysis of international trends in the development of corporate ventures and the determination of key indicators of corporate venture financing necessary in the development of an effective system for financing innovative projects.
 The work shows the conditions and prerequisites for the development of corporate venture capitalism. The result of applying statistical methods of analysis (correlation analysis) identified four key factors of corporate venture financing that determine the innovative performance of the parent organization.

 

Research target: Economics and Management
Language: Russian
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Text on another site
Keywords: инновационный проектвенчурные инвестициитехнологический предпринимательinnovative projectventure investmentstechnology entrepreneurshipcorporate venture fund (CVC)корпоративный венчурный фонд (CVC)
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