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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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Poster: fast and reliable alert delivery in Wi-Fi HaLow sensor networks

P. 1–2.
Khorov E., Lyakhov A., Nasedkin I., Yusupov R.

Rapidly evolving, the Internet of Things poses new challenges for the developers of wireless networks. Various industrial automation, agriculture monitoring, and smart cities scenarios require fast and reliable alert delivery. In many systems, multiple sensors are entrusted to react to the same emergency event. Thus it is enough to receive an alert message from any of these sensors. However, such a message shall be reliably delivered as soon as possible. Recently published Wi-Fi HaLow standard defines the Restricted Access Window (RAW) mechanism that coordinates transmissions of numerous devices and thus can improve reliability and reduce delay. The paper proposes an approach for alert delivery with RAW and investigates how to select optimal RAW parameters, i.e. those parameters that minimize channel time consumption while providing satisfactory reliability and delay for the alert delivery.

Language: English
DOI
Text on another site
Keywords: Restricted Access WindowIEEE 802.11ahsensor networks

In book

2019 IFIP Networking Conference (IFIP Networking)
IEEE, 2019.
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