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News
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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?

Transformation of Russian Electricity Market Model after the Implementation of Blockchain Technology

P. 74–77.
Serova E., Айрапетян И. А., Колмыченко Д. О.

The  study  focuses  on  the  theoretical  implementation  of  blockchain  technology  in  Russian  electricity 
market.  The  authors  attempt  to  model  Russian  electricity  market  schemes  before  and  after  the 
implementation of blockchain along with its evaluation. The key findings of the research are the decrease 
in the number of market participants and the reduction of electricity price in the blockchain-based market 
model,  which,  in  turn,  is  estimated  to  be  more  efficient  than  the  traditional  one.  The  efficiency 
calculations are made through the Fuzzy Inference System based on fuzzy logic.  

Language: English
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Keywords: fuzzy logicRussian electricity marketblockchain technologytransformation of the market model

In book

Conference Proceedings GSOM Emerging Market Conference 2018
Conference Proceedings GSOM Emerging Market Conference 2018
St. Petersburg: St. Petersburg University, 2018.
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