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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.
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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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ARTIFICIAL INTELIGENCE FOR INCLUSION: A PUBLIC BRICS FINANCIAL AI PLATFORM

Finance: Theory and Practice. 2026. Vol. 30. No. 1. P. 103–119.
Yudina M., Ярыгина И., Четти К., Гопал Н., Джози Д., Вень В.

The paper is a result of a comprehensive and systematic approach to reviewing the growing opportunities for BRICS countries in introducing artificial intelligence into a mutual financial platform. The subject of the study is the AI as a factor of BRICS cooperation and its growth in finance. The purpose of the study is to identify measures that stimulate the introduction of AI into a  shared public financial infrastructure platform by implementing the methodological combination of structured and reproducible guidelines, incorporating elements of the PRISMA method in particular. The task of the research team is to search for scientific answers to the urgent questions of current artificial intelligence inequality between nations and to come to the conclusion that BRICS nations should develop and implement a shared public AI platform to enhance accessibility to general and specialized information as well as equity for marginalised communities in all member countries. It is pointed out that such AI platform have to be organized in a way that enshrines principles of data sovereignty. Mechanisms and international AI strategies for meeting the challenges are introduced. The developed proposal is unique. Other initiatives have not yet received adequate justification. The project of such a  scale demands not only funding, but also dedicated professionals as well as open-source software development instruments. These issues represent promising areas for further research.

Research target: Economics and Management
Language: English
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Keywords: финансыразвивающиеся страныискусственный интеллектfinanceстратегияstrategyБРИКСdeveloping countriesplatformисточники данных BRICSплатформацифровая инфраструктураdigital infrastructuredata sources artificial intelligencedata empowernmentУСИЛЕНИЕ ПРИМЕНЕНИЕМ ДАННЫХ
Publication based on the results of:
Citizen-state interaction in the context of digital transformation: Political, psychological, and managerial factors and barriers (2025)
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