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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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Impact of Memory Hierarchy on Memory Encryption Performance

IEEE Access. 2024. Vol. 12. P. 144812–144817.
Prutyanov V., Romashikhin M., Vugenfirer Y., Solovyev Roman A., Romanov A.

Memory encryption with authentication protects critical applications from attackers with physical access. Memory encryption introduces memory access latency overhead due to the cryptographic computations and metadata accesses in DRAM. We propose using a metadata cache to reduce latency and report the results of an experimental and simulation evaluation of the impact of the DRAM and metadata cache on the overall latency of memory encryption schemes based on Intel SGX and Encryption for Large Memory integrity trees on an FPGA-based platform with DDR3 DRAM. We present the results of an end-to-end performance evaluation of the RISC-V RocketChip soft-core and the memory encryption with several metadata cache configurations.

Research target: Computer Science Electronics and Electrical Engineering
Language: English
Full text
DOI
Text on another site
Keywords: Embedded Systems experimental evaluationmemory encryptionAuthentication tree
Publication based on the results of:
Research of new classes of circulant graphs and their characteristics for designing networks-on-chip (2024)
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