RUDN University represented by the Institute of Applied Mathematics and Telecommunications (IAMT) has joined the new COST project “Intelligence-Enabling Radio Communications for Seamless Inclusive Interactions (IRACON)
January 2018 is the date when RUDN has become a member of one of the leading international scientific programs sponsored by the European Community - the COST (European Cooperation in Science & Technology) program,. The pan-European COST project is part of the Horizon 2020 program and is focused on supporting collaborative research by scientists from different universities and countries. The participation of Russian universities in COST is a unique and extremely rare event, and this opportunity was provided by RUDN University thanks to the scientific achievements of IAMT RUDN.
RUDNis already an institutional member of one of the COST projects, the so-called COST CA15104 Action project “Inclusive Radio Communication Networks for 5G and Beyond (IRACON)”. The objectives of the project are the introduction of new methods for the design and analysis of wireless networks of generations 5G and above. According to the agenda of the project RUDN University has an honor to host in October 2019
the VIII International Youth School - COST IRACON Training School on Network Models, Architectures and Applications for 5G (COST IRACON Training), continuing the series of schools that were previously held in Germany, Belgium, Portugal, Great Britain , France, Spain, Italy.
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.