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News
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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Proceedings of the 5th International Electronic Conference on Entropy and Its Applications

Vol. 46. Issue 1. MDPI AG, 2020.

Proceedings (ISSN 2504-3900) publishes publications resulting from conferences, workshops and similar events. 

Chapters
Fast Tuning of Topic Models: An Application of Rényi Entropy and Renormalization Theory
Koltsov S., Ignatenko V., Pashakhin S., , in: Proceedings of the 5th International Electronic Conference on Entropy and Its ApplicationsVol. 46. Issue 1.: MDPI AG, 2020. Ch. 5 P. 1–8.
In practice, the critical step in building machine learning models of big data (BD) is costly in terms of time and the computing resources procedure of parameter tuning with a grid search. Due to the size, BD are comparable to mesoscopic physical systems. Hence, methods of statistical physics could be applied to BD. The paper ...
Added: March 13, 2020
Priority areas: IT and mathematics
Language: English
Text on another site
Keywords: entropycomplexitythermodynamicsstatistical physicsquantum informationinformation theory
Proceedings of the 5th International Electronic Conference on Entropy and Its Applications
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