The teacher of RUDN University Political Economy Department Anna Verenikina attended the 7th International Conference on Industrial Technology and Management (ICITM 2018)
On the 7 — 9 of March the 7th International Conference of Industrial Technologies and Management ICITM 2018 was held in one of the oldest colleges of Oxford University, St. Anne’s College.
International Conference on Industrial Technology and Management is headed by the prestigious International Institute of Electrical and Electronics Engineers IEEE, which has 423,000 participants in 160 countries. The results of the conference automatically include into the scientific databases of Ei Compendex, the Elsevier research catalog on engineering and to the Scopus database.
This year participants of the
Many specialists recognize practice of Rusal on implementation of the environmental management system of the international standard ISO 14001 as the most successful in the Russian practice, where international environmental standards are often on the horizon of planning. The ecological infrastructure (commercial technologies and services for monitoring the air and water basin, eliminating the consequences of pollution and restoring ecosystems) and legislation are in a formative stage. Therefore, such giants as Rusal are working not only on their reputation in foreign markets, but also on changing the standards of domestic production.
Foreign participants of ICITM 2018 were especially interested in the issue of integrating the environmental management system into Industry 4.0 — a single concept of industrial production based on product lifecycle management and a smart manufacturing strategy involving the use of Internet: cloud computing and cybernetic systems.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.