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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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Проблема воли: современные тематизации

Философские науки. 2017. № 7. С. 33–44.
Tulchinskii G. L.

The concept of will is one of the most common in modern humanities and social sciences. At the same time, its use has still serious problems of clarifcation and operationalization content. The will discourse is considered in this work on the basis of modern political science and neuropsychology. This allows us to systematize the main components of the will thematization, and also to trace important consequences of such systematization for the methodology of science, justice and morality. The main conclusion is the compatibility of causal determination and free will. This compatibilism is based on the fundamental role of responsibility, which is provided by sociocultural practices. Socialization removes the personality from the natural cause-and-effect relationships, closes them to a person, turning it into a causa sui – through education, punishments and rewards. Consciousness and freedom are the epiphenomena of culture. The primary factor is responsibility. Thus, the dispositional nature of motivation gets a neurophysiological fxation. In conclusion, it is stressed that the interdisciplinary nature of the will is an example for the narrative correlation of sciences and humanities explanations.

Research target: Philosophy, Ethics, and Religious Studies Political Science, International Relations, and Public Administration Psychology
Priority areas: humanitarian
Language: Russian
Full text
Keywords: личностьмотивацияволяответственностьpersonalitymotivationresponsibilitywillсвобода волиfree willcompatibilismкомпатибилизмpolitical willполитическая воля
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