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News
April 30, 2026
HSE Researchers Compile Scientific Database for Studying Childrens Eating Habits
The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.
April 30, 2026
New Foresight Centre Study Identifies the Most Destructive Global Trends for Humankind
A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

 

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Разработка интеллектуального голосового ассистента и исследование обучающей способности алгоритмов распознавания естественного языка

Системный администратор. 2017. № 12. С. 80–85.
Polyakov E. V., Мажанов М. С., Качалова М. В., Поляков С. В.

The development of cognitive technologies contributes to the effective introduction of Artificial Intelligence into the everyday life of a person. New interfaces for device-human interaction appear. Understanding the natural language of human is one of the most promising areas of the development of Artificial Intelligence. Voice assistants are a striking example of such systems, they can be integrated into many other intelligent systems and improve the convenience of human-computer interaction. In this paper, the main shortcomings of voice assistants, the principles of functioning and possible ways of development of this technology are described. The development of an autonomous voice assistant is described.

Research target: Computer Science
Priority areas: IT and mathematics
Language: Russian
Full text
Text on another site
Keywords: машинное обучениеинтернет вещейmachine learningInternet of Things (IoT)TTSNLUNERASRVoice AssistantNLUTTSNERASRГолосовой помощник
Publication based on the results of:
Основы теории энергоэффективного взаимодействия автономных устройств в рамках парадигмы интернета вещей (2017)
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