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September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
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A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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GPU Acceleration of Four-Site Water Models in LAMMPS

P. 565–573.
Nikolskiy V., Stegailov V.

In this work, a new algorithm was developed for calculating the fourpoint water model TIP4P on graphics accelerators. It was designed as a part of the flexible molecular dynamics modeling package LAMMPS in the library module “GPU”. In this paper we describe two approaches to implement the TIP4P model for GPU: 1) to divide the related computations between CPU and GPU; 2) to compute the interaction fully on the GPU. We verify the program, benchmark and profile it. The achieved speedup of interaction computation is about x7, acceleration of the entire calculation of about 55%.

Language: English
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DOI
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Keywords: atomistic modelingLAMMPStip4pempirical potentialaccelerator
Publication based on the results of:
Methods for the analysis of the supercomputer efficiency, novel parallel algorithms for molecular dynamics calculations and modeling of transport processes in liquids and biomembranes (2020)

In book

Parallel Computing: Technology Trends
IOS Press, 2020.
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