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Subject
News
June 19, 2026
HSE Researchers Determine Which Internet Users Are More Likely to Fact-Check
Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.
June 5, 2026
'Im Used to Producing Distilled Knowledge'
Ivan Rubachev works in a HSE University laboratory established jointly with Yandex Research, where he focuses on machine learning with tabular data. In this interview with the HSE Young Scientists project, he discusses why following a vibe can be better than goal-setting, explains the concept of the Neural Turing Machine, and argues why withholding scientific knowledge is counterproductive.
June 17, 2026
Population Lifespan Is Governed by Mathematical Laws
Researchers at HSE University and MSU have established a universal law governing the time to extinction of a population in a random environment. Their analysis of the evolution of branching processes—complex probabilistic systems—shows that, regardless of the initial population size, extinction follows strict mathematical laws. The results have been published in the Journal of Applied Probability.

 

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?

Robust performance analysis of linear discrete-time systems in presence of colored noise

European Journal of Control. 2018. No. 42. P. 38–48.
Andrianova O., Belov A.

In this paper, linear discrete-time time-invariant (LDTI) normal and descrip-
tor systems with norm-bounded parametric uncertainties are under consid-
eration. The input signal is supposed to be a “colored” noise with bounded
known mean anisotropy level (spectral color). The conditions of anisotropic
norm boundedness for such class of systems are derived. The algorithm is
based on convex optimization technique. A numerical example is given.

Research target: Mathematics
Priority areas: mathematics engineering science
Language: English
Full text
DOI
Text on another site
Keywords: stochastic systemsdescriptor systemscoloured noiseuncertain linear systemsnorm-bounded uncertainties
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