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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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The Twenty-First-Century Singularity in the Big History Perspective: An Overview

Ch. 1. P. 1–18.
Panov A., LePoire D., Korotayev A.

This introductory chapter discusses the overall place of the twenty-first-century Singularity within the overall Big History. It is shown that to place the accelerating trend of complexity in the context of Big History, we need to distinguish the two forms (arms) of megaevolution so far in the universe. The first arm of evolution is the decelerating development of physical matter and energy into galaxies, stars, and planets from the initial Big Bang. The second arm of evolution is the accelerating rate of complexity evolution in the form of life, humans, and civilizations, which is the main concern of this book. The book is organized to present these historical megatrends, models, interpretations, future scenarios, and more philosophical questions along with the realization and debate about their limitations and uncertainty.

Language: English
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Keywords: singularitycivilizationBig Historymegaevolutionhistorical megatrends

In book

The 21st Century Singularity and Global Futures. A Big History Perspective
The 21st Century Singularity and Global Futures. A Big History Perspective
Switzerland: Springer, 2020.
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