Artificial and Augmented Intelligence: Connecting Business, Education and Science
The history of AI research in Nizhny Novgorod dates back to the 1960s and 1970s. Today, AI technologies, from voice assistants and smart home systems to digital twin creation and genome sequencing, are revolutionising our life. Natalia Aseeva, Dean of the Faculty of Informatics, Mathematics and Computer Science at HSE Campus in Nizhny Novgorod, discusses how the advancement of AI connects science, business, and education.
HSE University Leads the AI Alliance Ranking
The AI Alliance Russia has released a new ranking of Russian universities based on the quality of education in the field of AI. Similar to last year, HSE University has joined the leaders in A+ group alongside MIPT and ITMO. A total of 207 universities from 69 Russian regions participated in the ranking. In 2024, over 35,000 students were enrolled in AI-related programmes at these universities.
Reinforcement Learning Enhances Performance of Generative Flow Networks
Scientists at the AI Research Centre and the AI and Digital Science Institute of the HSE Faculty of Computer Science applied classical reinforcement learning algorithms to train generative flow networks (GFlowNets). This enabled significant performance improvements in GFlowNets, which have been employed for three years in tackling the most complex scientific challenges at modelling, hypothesis generation, and experimental design stages. The results of their work achieved a top 5% ranking among publications at the International Conference on Artificial Intelligence and Statistics AISTATS, held on May 2-4, 2024, in Valencia, Spain.
‘I Came Up with the Idea to Create an Application Useful for Practicing Physicians’
Dmitry Ryabtsev, a 2024 graduate of the master's programme at the HSE Faculty of Computer Science, created an AI-powered software service for ophthalmology during his two years of study. This product is now entering the market, and its developer plans to participate in establishing a working group on software engineering for medical applications at the HSE Faculty of Computer Science, with the goal of promoting more genuinely useful domestic projects. In an interview with HSE News Service, Dr Ryabtsev shared his story of how a professional doctor turned into a programmer.
HSE University and Sber Conduct Foresight in Artificial Intelligence
HSE University, in collaboration with Sber, have conducted a foresight study on artificial intelligence (AI). Its early results were discussed by the participants of a strategic foresight session on exploratory research in AI, held at the Coordination Centre of the Russian Government, headed by Deputy Prime Minister Dmitry Chernyshenko. The results from the foresight study will inform the Unified Research and Development Programme in the Field of AI.
White Papers of AI Conformity Assessment Published on HSE University Website
The Russian Technical Committee for the Standardization of ‘Artificial intelligence’ (TC164), together with the Chamber for Indo Russo Technology Collaboration and the RUSSOFT Non-profit Partnership of Software Developers, has published new White Papers related to Artificial Intelligence Conformity Assessment. It reflects the approaches to the standardization and ethical regulation of AI technologies in two pilot industries — healthcare and agriculture.
Space for Collaboration in Artificial Intelligence
The HSE Laboratory of Artificial Intelligence for Cognitive Sciences (AICS) has launched regular seminars, offering students and scientists from various universities and research centres the opportunity to share their latest research and discuss the most recent developments in artificial intelligence in a friendly and constructive atmosphere. The first seminar was held on May 15.
Scientists Propose Star-Shaped Diffusion Model
Scientists at the AI Research Centre and the Faculty of Computer Science at HSE University, the Artificial Intelligence Research Institute (AIRI), and Sber AI have come up with novel architecture for diffusion neural networks, making it possible to configure eight distinct types of noise distribution. Instead of the classical Markov chain model with Gaussian distribution, the scientists propose a star-shaped model where the distribution type can be selected and preset. This can aid in solving problems across various geometric modalities. The results were presented at the NeurIPS 2023 conference.
HSE Scientists Leverage AI to Accelerate Advancement of 5G and 6G Wireless Communication Systems
The HSE Artificial Intelligence Centre has developed software for modelling radio channels in 5G and 6G wireless networks, based on ray tracing and machine learning techniques. Their software solutions enable modelling radio wave propagation between transmitters and receivers and can convert ray tracing data into a frame sequence format, configure and train neural networks based on this data, and subsequently save the trained models.
‘Like Electricity, AI Can Bring Incredible Benefits’
Developments in the field of artificial intelligence are gradually taking over the world. AI has the potential to bring incredible benefits to the global economy and our quality of life, but it also creates new challenges. Panos Pardalos, Professor at the University of Florida, Academic Supervisor of the Laboratory of Algorithms and Technologies for Networks Analysis (Nizhny Novgorod), covered these issues, along with other related topics, in his recent report.