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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.
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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.
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‘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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Brain Mechanisms of Embodied Decision-Making

International Journal of Cognitive Research in Science, Engineering and Education. 2022. Vol. 10. No. 2. P. 163–171.
Yuri I. Alexandrov, Svarnik O., Rozhdestvin A., Grinchenko Y. V.

One of the ways to comprehend mental abilities of individuals is to examine their underlying neural processes and mechanisms. To explore the role of cingulate cortical neurons in “mental rehearsal“ immediately before every trial of appetitive instrumental task in well-trained animals, we analyzed recorded single-unit activity in relation to the task-relevant events during task trials and during delay periods inside each trial in the same animals. The results showed that neuronal activity in the rabbit posterior cingulate cortex during the delay consisted mostly of activity of those neurons which were specialized in relation to this task, though the delay periods were not intended to remember previous events. The data indicated that these neuronal groups are involved in the processes of unfolding planned future behavior. Sequences of neuronal events during the delay period (i.e. during” covert behavior” phase), used for decision making, depended on the role of neuron in overt behavior. During delay periods replays (or preplays) started with activity of very selective (“narrow selective”) neurons, specialized in relation to concrete behavioral acts, but late in the delay included activity of such “broadly selective” neurons which might have been related to movements similar in broad categories of behavior. Such results indicate that task-related neurons with different degree of selectivity are all involved in overt and covert phase of experience actualization, which might imply that decision making in rabbits is the embodied cognitive process. 

Research target: Psychology Biology
Language: English
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Keywords: decision making Embodied cognition Posterior cingulate cortexRabbitmental rehearsal
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