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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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Генеративный искусственный интеллект как объект публично-правового регулирования в Китайской Народной Республике

Пролог: журнал о праве. 2026. № 2 (50). С. 79–91.
Vasyukov V. F.

The article provides a comprehensive academic analysis of the Interim Measures for the Administration of Generative Artificial Intelligence Services adopted in the People's Republic of China in 2023. The examined regulatory act is considered a systemic element of an emerging public law model for governing generative technologies, aimed at balancing innovative development with national, information, and social security. The study examines the legal foundations of the Interim Measures, their place within the Chinese legal system, and the core principles underlying the state approach to regulating generative artificial intelligence. Particular attention is paid to content-related and value-based restrictions on algorithmic generation, requirements for training data, information labeling procedures, the contractual framework governing interactions between providers and users, as well as mechanisms of supervision and legal liability. Special emphasis is placed on the cross-border dimension of regulation and the expanded concept of digital sovereignty, under which the decisive factor is the actual impact of a service on the domestic information space of the state. The article substantiates the conclusion that a preventive and managed regulatory model of generative artificial intelligence is being formed in China, within which both algorithms and service providers acquire the status of objects of heightened public interest. The findings suggest that the Interim Measures should be regarded not merely as a transitional regulatory instrument, but as a conceptual foundation for future codification of generative artificial intelligence regulation and as an important reference point for comparative and international legal research in this field.

Language: Russian
Text on another site
Keywords: информационная безопасностьгосударственный надзорstate supervision information securitytraining dataКитайская Народная РеспубликаPeople’s Republic of Chinaгенеративный искусственный интеллект generative artificial intelligenceОБУЧАЮЩИЕ ДАННЫЕ
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