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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
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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
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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 Intelligence for Analysis of Collaborative Consumer Networks Management

P. 304–311.
Serova E.

This research paper studies the application of Artificial Intelligence (AI) and intelligent technologies and systems to expand customer relations management possibilities for growth of consumer network and development of open adaptive information infrastructure of modern Company. Now networks are an effective tool for purposefully coordinate efforts of all their participants. Thus, there is an urge to study theoretical principles of their formation and find a set of specific managerial skills needed for their efficient operations by developing a strategy to manage relations with other network participants. Simultaneously, in emerging markets, AI and intelligent technologies are in fact an integral part of cutting-edge management systems. They add to globalization of business by providing quick access to employees worldwide, as well as coordinating global interaction between companies at different stages of value chain. It does not mean that intelligent technologies and systems simply increase efficiency of a company’s operations; they can be considered as key intangible asset. Their successful integration in the company’s information structure can provide significant business effect.  This research aims are analyzing applicability and adaptability of the joint customer relations management technologies and multi-agent systems (MAS), as well as the formation of external information infrastructure of companies with growing collaborative consumer network. The paper considers application of integrated approach for software company whose external infrastructure consists of the following blocks: potential consumers; technical support and consultancy; education; sales and dealership. The company strives for long-term contracts, customer loyalty and customer-oriented approach in emerging markets. The study is conceptual and research in equal measure, and provides the examination of approach to forming an external information infrastructure for a company with collaborative consumer network by joining opportunities of CRM and multi-agent technologies. Original contribution: the paper considers application of AI for modern company whose external infrastructure consists of the following blocks: potential consumers; technical support and consultancy; education; sales and dealership. This research paper studies the application of Artificial Intelligence (AI) and intelligent technologies and systems to expand customer relations management possibilities for growth of consumer network and development of open adaptive information infrastructure of modern Company. Now networks are an effective tool for purposefully coordinate efforts of all their participants. Thus, there is an urge to study theoretical principles of their formation and find a set of specific managerial skills needed for their efficient operations by developing a strategy to manage relations with other network participants. Simultaneously, in emerging markets, AI and intelligent technologies are in fact an integral part of cutting-edge management systems. They add to globalization of business by providing quick access to employees worldwide, as well as coordinating global interaction between companies at different stages of value chain. It does not mean that intelligent technologies and systems simply increase efficiency of a company’s operations; they can be considered as key intangible asset. Their successful integration in the company’s information structure can provide significant business effect.  This research aims are analyzing applicability and adaptability of the joint customer relations management technologies and multi-agent systems (MAS), as well as the formation of external information infrastructure of companies with growing collaborative consumer network. The paper considers application of integrated approach for software company whose external infrastructure consists of the following blocks: potential consumers; technical support and consultancy; education; sales and dealership. The company strives for long-term contracts, customer loyalty and customer-oriented approach in emerging markets. The study is conceptual and research in equal measure, and provides the examination of approach to forming an external information infrastructure for a company with collaborative consumer network by joining opportunities of CRM and multi-agent technologies. Original contribution: the paper considers application of AI for modern company whose external infrastructure consists of the following blocks: potential consumers; technical support and consultancy; education; sales and dealership.

Language: English
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Keywords: strategyinformation infrastructureartificial intelligence emerging marketsintelligent agentCollaborative Consumer Networks

In book

Proceedings of the European Conference on the Impact of Artificial Intelligence and Robotics
Proceedings of the European Conference on the Impact of Artificial Intelligence and Robotics
Oxford: Academic Conferences and Publishing International Limited, 2019.
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