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News
June 2, 2026
HSE Study Reveals Imbalance in the Generative AI Market
Researchers at HSE University analysed how effectively the global generative artificial intelligence market converts investment into real revenue, concluding that AI is currently developing faster than it is paying off. The results have been published in the journal Foresight and STI Governance.
June 2, 2026
Discovering Science through Russian Language: HSE Prep Year Students Present at International Conference in Kazan
On May 23, 2026, the V International Scientific and Practical Conference ‘Discovering the World of Science’ took place in Kazan at the Preparatory Faculty for International Students of Kazan Federal University. Four students of the HSE International Preparatory Year took part in the event: two delivered their presentations in person, while two participated online. Their work was supervised by Acting Director of the International Prep Year Irina Isaeva and lecturer Ekaterina Kozhemyakova.
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.

 

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Taking stock of national climate policies to evaluate implementation of the Paris Agreement

Nature Communications. 2020. Vol. 11. No. 2096 (2020). P. 1–12.
Roelfsema M., van Soest H., Harmsen M., van Vuuren D., Bertram C., den Elzen M., Höhne N., Iacobuta G., Krey V., Kriegler E., Luderer G., Riahi K., Ueckerdt F., Despres J., Drouet L., Emmerling J., Frank S., Fricko O., Gidden M., Humpenöder F., Huppmann D., Fujimori S., Fragkiadakis K., Gi K., Keramidas K., Köberle A., Reis L. A., Rochedo P., Schaeffer R., Oshiro K., Vrontisi Z., Chen W., Iyer G., Edmonds J., Kannavou M., Kejun J., Mathur R., Safonov G., Vishwanathan S. S.

Many countries have implemented national climate policies to accomplish pledged Nationally Determined Contributions and to contribute to the temperature objectives of the Paris Agreement on climate change. In 2023, the global stocktake will assess the combined effort of countries. Here, based on a public policy database and a multi-model scenario analysis, we show that implementation of current policies leaves a median emission gap of 22.4 to 28.2 GtCO2eq by 2030 with the optimal pathways to implement the well below 2 °C and 1.5 °C Paris goals. If Nationally Determined Contributions would be fully implemented, this gap would be reduced by a third. Interestingly, the countries evaluated were found to not achieve their pledged contributions with implemented policies (implementation gap), or to have an ambition gap with optimal pathways towards well below 2 °C. This shows that all countries would need to accelerate the implementation of policies for renewable technologies, while efficiency improvements are especially important in emerging countries and fossil fuel-dependent countries

Research target: Economics and Management Political Science, International Relations, and Public Administration Effective Natural Resource Management Earth Sciences
Priority areas: economics state and public administration
Language: English
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Keywords: economic-mathematical modelingclimate policydecarbonizationlow carbon developmentRussian Federationclimate change economicsParis Agreement
Publication based on the results of:
Разработка мер национальной политики, направленных на снижение выбросов парниковых газов, во взаимодействии с глобальными системами, обеспечивающими низкий уровень выбросов (2018)
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