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October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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Математическая модель возникновения ошибок в работах проекта

Современная наука: актуальные проблемы теории и практики. Серия: Естественные и технические науки. 2016. № 11. С. 44–48.
Maron M.

Emergence of faults in the works is standard project’s risk. For an assessment of consequences of this risk, it is desirable to know probabilities of faults. At the same time, property of uniqueness of a project, as a rule, does not allow to find required probabilities by means of statistical data. In this article offered the mathematical model for definition of probabilities of faults at implementation of the project. In this model accepted duration of work as a measure of its complexity, and the flow of the arising faults considered as Poisson.

Research target: Economics and Management Computer Science
Priority areas: management engineering science
Language: Russian
Full text
Text on another site
Keywords: Poisson flowпуассоновский потокпроектный рискprobabilities of faults project’s risksвероятности ошибок
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