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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
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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.
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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Концепция генетической информации и историческая эпистемология

Философия. Журнал Высшей школы экономики. 2022. Т. 6. № 2. С. 114–147.
Kuzin I.

The information concept in molecular biology and genetics has a duality inherent in any canon: on the one hand, now it looks universal, and it is difficult to think of transcending this discourse; on the other hand, historians of science show that one’s emergence is culturally contingent and is associated with the “informatization” of science and society during WWII and the Cold War. This kind of duality is analyzed by historical epistemology (critical presentism), trying to understand science, on the one hand, as rational (truth is universal), on the other, as contingent (other possible worlds of scientific knowledge are conceivable). In this article, using the concept of genetic information as an example, it is shown how the first goal of historical epistemology is achieved by criticizing the science of the past with the help of modern science and philosophy of science. The second goal is achieved by criticizing modern science from the point of view of past science. Namely, the rapid rise of the concept of information in biology in the middle of the 20th century and the fast transition from quantitative mathematical information theory to information-linguistic metaphors can be rationally understood within the framework of the teleosemantic concept of information developed in the modern philosophy of biology. On the other hand, delving into the past of biology, we find all the more radical alternatives to the information concept and informational and linguistic metaphors: from the mathematical theory of information to the “chemical” concept of “absolute” specificity as stereospecificity to the “physical” concept of relative specificity as a consequence of collective effects. This historical perspective makes it possible to discern feasible alternatives to the information concept in modern biology.

Research target: Biology History and Archeology Philosophy, Ethics, and Religious Studies
Language: Russian
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Keywords: possible worldsвозможные мирыгенетическая информацияистория биологиипрезентизмhistory of biologyphilosophy of biologyфилософия биологииhistorical epistemologypresentismисторическая эпистемологияbiological specificitygenetic informationhistorical contingencyбиологическая специфичностьисторическая контингентность
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