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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
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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OptIoT: A Domain-Specific Language for Optimizing IoT and IIoT Infrastructure

P. 1012–1016.
Ebraheem A., Ivanov I.

Designing reliable Internet of Things systems requires careful planning and consideration of different factors. Incorporating multi-objective optimization methods may help achieve this goal. In this article, a domain-specific language is proposed to aid in describing the structure of the Internet of Things and formulating the requirements and objectives in a simple context. The code is then converted to a Python code that uses computational optimization to provide suggestions on what resources to choose and how to distribute them. The solution generated by the domain-specific language for an industrial environment was implemented and tested. The domain-specific language itself was evaluated by a set of experts, and the results were collected using a survey. The designed language turned out to be effective, convenient to use, and positively contribute to the development of the Internet of Things and industrial Internet of Things.

Language: English
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Keywords: multi-objective optimizationDSLIoTIIoT

In book

2024 International Russian Automation Conference (RusAutoCon)
IEEE, 2024.
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