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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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Rethinking Innovation Management—How AI Is Changing the Way We Innovate

The Journal of applied behavioral science. 2024. Vol. 60. No. 4. P. 603–612.
Füller J., Tekic Z., Hutter K.

This paper examines the transformative impact of Artificial Intelligence (AI) on innovation management, highlighting the profound organizational shifts necessary to fully leverage its potential. As AI adoption surges, organizations face unprecedented opportunities to accelerate their innovation processes, from early trend identification to product diffusion. However, realizing these benefits requires a comprehensive strategic alignment. This includes rethinking innovation strategy, restructuring organizational set-up, redefining roles, and collaborative practices. By examining these pivotal aspects, this paper identifies critical knowledge gaps and further poses thought-provoking questions designed to stimulate both academic inquiry and managerial innovation. Our goal is to inspire researchers and managers to rethink their approach to innovation management in an AI-driven landscape.

Research target: Economics and Management
Language: English
Full text
DOI
Text on another site
Keywords: strategyinnovation management open innovationAIartificial intellegence
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