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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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Hardware-Software Complex for Network-on-Chip Prototyping Using Multiple FPGAs

IEEE Access. 2026. Vol. 14. P. 7921–7931.
Mikhail Y. Romashikhin, Aleksandr Y. Romanov

This paper presents a hardware-software multi-FPGA complex designed for hardware prototyping of networks-on-chip (NoCs). The rationale for the use of multiple FPGAs for NoC prototyping is given. The architecture of the complex and its components–the software part generating top-level files and configuration files describing the NoC for several FPGAs, hardware part consisting of interfacing switches between FPGAs, SoM modules with FPGAs, printed circuit board connecting the modules by a data bus–were developed. The work of the multi-FPGA complex developed was tested by calculating the examples of parallel computing tasks. The calculation of 100 digits of the π number by the Madhava series, Monte-Carlo method, and solution of the system of linear equations were chosen as a task of parallel calculations. The evaluation of benchmark developed showed that the multi-FPGA complex is suitable for NoC prototyping of parallel calculations and can be used in solving a variety of engineering problems besides NoC prototyping.

Research target: Electronics and Electrical Engineering Computer Science
Language: English
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Keywords: автоматизация проектированияпараллельные вычисленияparallel computingdesign automationFPGAПЛИСпрототипированиеСистема на кристаллесеть на кристаллеsystem-on-chipNoC benchmark network-on-chip prototyping
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