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November 10, 2026
Physicists Train AI to Optimise Particle Beams in Accelerators
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science and the Budker Institute of Nuclear Physics at the Siberian Branch of the Russian Academy of Sciences have developed RLABC (Reinforcement Learning for Accelerator Beamline Control), a framework that uses reinforcement learning to identify optimal settings for a particle accelerator. In a computer simulation, RLABC optimised the accelerator's parameters to achieve a particle transmission rate of 70%. The study has been published in Computer Physics Communications.
November 9, 2026
'Organ-on-a-Chip Technology Could Eliminate the Need for Animal Testing'
The Laboratory of Molecular Physiology at the HSE Faculty of Biology and Biotechnology investigates how molecular regulators known as microRNAs control gene expression and contribute to the development of diseases, including cancer, viral and inflammatory conditions, and pregnancy complications. At HSE University, researchers develop organ-on-a-chip models: miniature devices containing living cells that mimic the functions of human organs, such as the placenta and intestines. These models help researchers understand how diseases develop and how drugs affect them. HSE News Service spoke with Evgeny Knyazev, Head of the Laboratory.
November 9, 2026
Flattened Terrain Models Underestimate Vehicle-to-Vehicle Communication Outages
Researchers at HSE MIEM have shown that widely used simulators of vehicle-to-vehicle communication significantly overestimate its reliability because they assume flat terrain. When terrain features, bridges, and tunnels are taken into account, the outage rate on a mountain serpentine road rises from 21% to 30%, on an overpass from 20% to 33%, and in a tunnel from 0% to 80%. The results have been published in Future Transportation.

 

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?

К вопросу о подготовке специалистов по управлению знаниями

Открытое образование. 2018. Т. 22. № 2. С. 14–26.
Гринберг Э. Я., Pleshkova A.

The article is devoted to the identification of key features of training specialists in knowledge management and systematization of information sources available to them. The relevance of the subject is related to the growing need for managerial personnel, capable of organizing work with knowledge at the enterprise in order to achieve competitive advantages.

The study examined the definitions associated with the management of knowledge in the foreign and domestic literature, analyzed the number of subjects taught in Russian specialized universities, revealed the predominance of non-formal education over education in universities. The phenomenon of teaching knowledge management within the framework of such related disciplines as information technology and personnel management has been studied. The article also systematizes the trends in which knowledge management projects are implemented. Based on the above specifics, it is suggested that the main driver of the development of non-formal education in this area is the entrepreneurial initiative of experts. The directions in which the contribution of Russian science to the development of knowledge management as a discipline is manifested to a special extent. Such spheres are the intellectual capital and information technologies.

The article is intended for researchers and practitioners whose professional interests lie in the field of knowledge management. In conclusion, ways of improving education systems in higher education institutions and non-formal education are proposed to increase the competence of all specialists who work in the field of knowledge management.

Research target: Economics and Management Education
Priority areas: management
Language: Russian
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Keywords: управление знаниямиknowledge managementсамообучениеменеджмент знанийобразование в Россииself-educationeducation in Russiaknowledge management specialistспециалист по управлению знаниями
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