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.
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.
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.
Podchufarov A., Шалковский А. Г., Galkina A. N. et al., Вопросы оборонной техники. Серия 16: Технические средства противодействия терроризму 2021 № 5-6(155-156) С. 143–150
The prospects for the Russian nuclear power are a significant factor in the development of core industries and regions. At the same time, in the context of achieving the Sustainable Development Goals (SDGs), the role of nuclear energy is currently characterized by contradictory estimates due to a wide range of economic, environmental and social indicators. ...
Tatyana A. Alexeeva, Barnett W., Kuznetsov N. et al., Chaos, Solitons and Fractals 2020 Vol. 140 Article 110239
Forecasting and analyses of the dynamics of financial and economic processes such as deviations of macroeconomic aggregates (GDP, unemployment, and inflation) from their long-term trends, asset markets volatility, etc., are challenging because of the complexity of these processes. Important related research questions include, first, how to determine the qualitative properties of the dynamics of these ...
Buznikov S., Тамбулатов П. В., Информационно-измерительные и управляющие системы 2011 Т. 9 № 10 С. 31–38
Рассматривается постановка задачи стабилизации скорости автомобиля и ее решения на основе математических моделей продольного движения центра масс, двигателя и трансмиссии. Приводится анализ результатов моделирования динамики автомобиля с одношаговым регулятором и ПИ-регулятором с постоянными коэффициентами. ...