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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Курс «Техно-стартап» Школы предпринимательства как введение в инновационную деятельность

Современная конкуренция. 2021. Т. 15. № 2. С. 132–143.
Solodikhina A., Солодихина М. В.

The modern economy is in dire need of innovators who can design the technological image of the future. The best way to train future specialists in technonatural recognized as a project-based approach, augmented business education. But research has shown that in Russia, project activity in its existing forms does not fulfill its main functions: it does not give students the experience of creating innovations, does not develop critical thinking, does not form an interest in creating new products or services, their implementation and diffusion. The aim of the research was to search for approaches, methods and forms of training that will form students’ desire to choose a career in the field of technology innovation or high-tech entrepreneurship, give them the experience and knowledge necessary for the organization of a technology startup. In order to test the found pedagogical solutions, the techno-startup course of the school of entrepreneurship as an introduction to innovation. The study showed that the introduction of psychological training (teaching students the techniques of generating and testing ideas, empathy, conducting in-depth interviews, team building, planning, etc.), gamification of all types of classes, the development of course tasks as a tool for the development of design- and business thinking of students, monitoring the development of students ‘ competencies and components of their thinking with the help of specially prepared trackers, building the stages of the educational project in accordance with the stages of a real technology startup (the introduction of empathy stages, MVP, attracting external funding), allowed us to achieve the goal of the study.

Research target: Psychology Media and Communications Education
Priority areas: economics
Language: Russian
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Keywords: проектная деятельностьразвитие мышлениядистанционные технологии обучениятехнологический стартапproject activitiestechnology start-upbusiness education of schoolchildrendistance learning technologiesdevelopment of thinkingбизнес-образование школьников
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