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News
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.

 

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?

Developing IoT Devices Empowered by Artificial Intelligence: Experimental Study

P. 1–6.
Prutyanov V., Melentev N., Lopatkin D., Menshchikov A., Somov A.

The number of real-world Internet of Things (IoT) deployments continuously and steadily increases while the capabilities of single IoT devices cannot yet be exploited for the purpose of Artificial Intelligence. Indeed, computation complexity and energy consumption are the constraining requirements for the development and implementation of truly intelligent IoT devices with AI. In this paper we present an experimental study where we perform the observation of time of execution, overheating, Central Processing Unit (CPU) load and power consumption using an embedded system by itself and embedded system with an external low-power Graphics Processing Unit (GPU) able to run the pre-trained neural networks for object detection. We report on the series of experiments conducted on the neural networks with different depth and input size. Experimental results demonstrate high potential of AI application on the IoT devices.

Language: English
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Keywords: neural networksEmbedded Systems Internet of Things artificial intelligence experimental evaluation

In book

2019 IEEE Global Internet of Things Summit (GIoTS) Proceedings
IEEE, 2019.
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