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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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?

Robotic Process Automation (RPA) in HR Operations

Ch. 10. P. 297–324.
Khazieva N., Ternikov A.

This chapter delves into the transformative impact of Robotic Process Automation (RPA) in Human Resources (HR) operations, illustrating how digital transformation is essential for maintaining competitiveness in contemporary business environments. Despite the proven benefits of RPA in other sectors, its integration in HR remains limited but promising. The chapter discusses the significant role of RPA and HR in optimizing organizational performance through enhanced data utilization and automation. It highlights how AI-driven data analytics can provide actionable insights into employee performance and decision-making processes. The chapter identifies challenges in adopting RPA and proposes solutions to transform HR departments to make them more effective. Key areas for RPA application in HR include recruitment, onboarding, data management, payroll, and compliance. The overarching theme is that RPA can significantly automate routine tasks, provide strategic insights, and enhance overall organizational efficiency, making HR teams more agile and evidence-based.

Language: English
DOI
Text on another site
Keywords: Robotic process automation (RPA)HR-automation

In book

Digital Transformation and Human Potential in the AI Era
Digital Transformation and Human Potential in the AI Era
Hershey: IGI Global Scientific Publishing, 2025.
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