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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
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The immersive 3D objects’ library for applying non-invasive brain stimulation in research on the motor control and the mirror neurons system: a call for collaboration

Annual Review of CyberTherapy and Telemedicine. 2021. Vol. 19. P. 125–127.
Vlasov A., Kilmukhametov F., Feurra M.

We have developed and tested a library of 3D objects for the study of motor control in immersive reality (https://p3d.in/TK7k3). The use of this stimulus material (e.g., as on the Figure 4a) opens up new opportunities for evaluating physiological parameters when using the method of neurotherapy in virtual reality. In combination with the Non-Invasive Brain Stimulation (NIBS) methods such as Transcranial Magnetic Stimulation (TMS), we propose to explore the effects of functional activity of the mirror neuron system on a large scale for further approbation of advanced and promising neurorehabilitation protocols.

Research target: Other social sciences Psychology Media and Communications Engineering and Technology
Language: English
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Keywords: 3DMirror Neurons SystemNon-Invasive Brain StimulationImmersive Reality for Neurorehabilitation NIBS
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