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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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Дидактические возможности нейросетей в контексте полимодального обучения иностранным языкам (на примере генерации изображений).

Иностранные языки в школе. 2024. № 10. С. 78–85.
Popova A.

The development of artificial intelligence technologies, and neural networks in particular, is accelerating every day. The process of their integration into foreign language teaching is becoming increasingly obvious to teachers and students. Thanks to the various functions of neural networks, new opportunities for teaching foreign languages are opening up. This article is a continuation of the series of articles on the integration of neural networks into multimodal teaching of foreign languages, published in №№ 7 and 9 in 2024. The author focuses on the multimodal approach, which combines different ways of perceiving information, and explains how neural networks can help in the implementation of this approach. The article describes neural networks created for generating images and their unique didactic capabilities, which they represent and allow to significantly diversify and enrich the learning process, making it more adaptive and interactive.

Research target: Education
Language: Russian
Keywords: изображениевизуализациянейросетьпромптискусственный интеллект в изучении иностранного языкаИнформационные технологииполимодальное обучение
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