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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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Editorial

Social Anthropology. 2022. Vol. 30. No. 4. P. 5–8.
Lay L., Ssorin-Chaikov N.

As we all know, ‘urgent’ is a frequent subject heading used for emails and documents. It is also ubiquitous in calls to action against climate change and ongoing wars. In many ways, the word draws our attention to imminent crises, such as humanitarian disasters or the outbreak of diseases. Yet, the ethnographic contours of said urgency and imminence are far from self-evident. As this special issue's guest editors Andreas Bandak and Paul Anderson put it, urgency is always a claim of urgency. What is at stake in such claims, they submit, are not just the necessary resources, rights, expertise and power to ‘act now before it is too late’, but also a specific temporality. By separating the ‘now’ or ‘imminent’ from ‘before’ or ‘always’, time gets measured differently: it turns from being a quantitative entity to a qualitative and even incommensurable process. Indeed, the outbreak of the COVID-19 pandemic marked the year 2020 as the dawn of a ‘new era’ in human biology and biopolitical governance (Bermant and Ssorin-Chaikov 2020). In a similar vein, other events turned out watershed moments in history: the 2008 financial crisis inaugurated the ‘age of austerity’, while 9/11 claimed the new ‘normalcy’ of living with terrorist threats and permanent war on terror – even if in many places around the world living with terrorist threats was rather normal for a long time before 9/11. If modernity can be viewed as a stretched-out present producing ‘newtime’ (Neuzeit, see Koselleck 2002), including irregular crises, it is no surprise that new eras keep appearing and supplanting each other all the time. What makes the temporality of urgency distinct from ‘modernity as time’ (Ssorin-Chaikov 2017) and particularly from its twentieth-century teleological futurism of capitalism, state socialism or neoliberalism, argue Bandak and Anderson, is its ‘presentism’ in the sense of François Hartog (2015).

Research target: History and Archeology
Language: English
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Keywords: антропологияanthropology
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