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  • Искусственный интеллект в деятельности вьетнамских стартапов как инструмент цифровой поддержки экономической интеграции АСЕАН
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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
‘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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Искусственный интеллект в деятельности вьетнамских стартапов как инструмент цифровой поддержки экономической интеграции АСЕАН

Вьетнамские исследования. 2025. № 4. С. 47–59.
Kanaev E.

The article attempts to identify the potential of Vietnamese startups that use aritificial intelligence (AI) tools in stimulating multilateral economic cooperation in Southeast Asia. On systemizing directions on which the Association of Southeast Asian Nations (ASEAN) provides its multilateral projects and initiatives with digital support, the article proceeds to its efforts to integrate startups, including those using AI tools, into ASEAN-led multilateralism. Salient features of the SRV’s regulatory approach to digital processes, including those in the AI field, are revealed. Exemplified by selected cases, the activity of Vietnamese AI startups and their transboundary potential is analyzed. The research question of the article is as follows: why are AI startups, as demonstrated by the Vietnamese experience, unable to contribute significantly to stimulating economic integration in Southeast Asia? The author argues that the reason accounts for a double obstacle that such startups encounter. The first is the modality of ASEAN cooperation, the main components of which have not undergone a fundamental revision in the digital reality, while the second accounts for the conservative approach of national regulators to data localization. The latter is exemplified by the SRV’s experience, but is typical to other ASEAN countries. Collectively, those factors make a serious obstacle for Vietnamese AI startups to expand their trans-boundary activities, which reduces their effectiveness as a tool for stimulating ASEAN-led multilateral projects and initiatives.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: искусственный интеллектВьетнамАСЕАНVietnamцифровая трансформацияartificial intellegence ASEANdigital transformationмногостороннее экономическое сотрудничествоmultilateral economic cooperationdigital startupsцифровые стартапы
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