• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

‘The Goal of the Spring into ML School Is to Unite Young Scientists Engaged in Mathematics of AI’


The AI and Digital Science Institute at the HSE Faculty of Computer Science and Innopolis University organised a week-long programme for students, doctoral students, and young scientists on the application of mathematics in machine learning and artificial intelligence. Fifty participants of Spring into ML attended 24 lectures on machine learning, took part in specific pitch sessions, and completed two mini-courses on diffusion models—a developing area of AI for data generation.

The main topics of the scientific presentations were reinforcement learning, generative, and diffusion models.

Alexander Gasnikov, Rector of Innopolis University

‘The distinctive features of the Spring into ML school are its youthfulness and the strong fundamental component of scientific presentations. All lectures and talks were given by young scientists and researchers for equally active students, and most of the presentations were based on mathematics. It is wonderful that our university, which is one of the research centres in the field of artificial intelligence in Russia, became the venue for this scientific event.’

The published presentations (in Russian) can be found here.

The school programme also included such games as Name That Tune and What? Where? When?, movie screenings, excursions to Kazan, Sviyazhsk, and other networking events.

Alexey Naumov, Director for Basic Research at the AI and Digital Science Institute at the HSE Faculty of Computer Science

‘The goal of the Spring into ML school is to unite young scientists engaged in mathematics of AI. As a result of school discussions, several interesting projects emerged with the intersection of participants' competencies, which could lay the foundation for potential publications at A* conferences.’

Petr Mokrov, Skoltech (Skolkovo Institute of Science and Technology), participant of the Spring into ML School

‘The format and organisation of the school turned out to be suitable for such events. There are very few academic research groups in Russia working on machine learning and artificial intelligence. The participants know each other well, many became friends, but often they do not actually understand what their colleagues in adjacent teams are working on. Throughout the week spent in Innopolis, students, doctoral students, and academic supervisors communicated and exchanged experience, discussed their tasks, and addressed issues arising at the intersection between research directions. I found myself among like-minded people. And it was great.’

According to the organisers of the event from HSE and Innopolis University, the Spring into ML school can become a regular platform for discussion and exchange of experience among scientists and will launch a series of events in Russian IT universities dedicated to the mathematical foundations of artificial intelligence.

Innopolis University specialises in education, research, and development in the field of information technology and robotics. The Russian IT university collaborates with 297 industrial partners. The university's portfolio includes 114 projects for companies such as Gazprom, Aeroflot, KAMAZ, Norilsk Nickel, Rosseti, RusHydro, Severstal, and others. At Innopolis, there are 1,239 students from 35 countries as well as 152 scientific and pedagogical employees from 15 countries with working experience in leading world universities and IT companies.

See also:

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.

‘You Need to Know a Lot of Ideas and Algorithms, Come Up with Something Unconventional’

A student of the HSE Faculty of Computer Science, Andrey Kuznetsov, has become the winner of the 2024 Data Fusion Contest. He took first place in solving geoanalytics tasks, and also won the special ‘Companion’ category. The competition took place as part of the 2024 Data Fusion conference on big data and AI technologies. Researchers from HSE University presented the results of their work and demonstrated applied developments at the conference.

‘We Need to Learn to Communicate with Artificial Intelligence Services’

An online course 'What is Generative AI?’ has been launched on the Open Education platform, which will help students learn more about how to properly communicate with neural networks so that they can perform tasks better. Daria Kasyanenko, an expert at the Continuing Education Centre and senior lecturer at the Big Data and Information Retrieval School at the Faculty of Computer Science, spoke about how generative AI works and how to create content with its help.

Artificial Intelligence Tested by Kant Philosophy

The Baltic Federal University (Kaliningrad) recently hosted an International Congress entitled ‘The World Concept of Philosophy’ in honour of the 300th anniversary of the birth of the philosopher and thinker Immanuel Kant. The event brought together about 500 scientists and experts from 23 countries. HSE Rector Nikita Anisimov took part in the opening plenary session of the congress titled ‘Critique of Artificial Intelligence: Being and Cognition in the Context of Artificial Intelligence Development.’

HSE University to Reward Students Who Write Their Thesis Using AI

HSE University has launched a competition for solutions using artificial intelligence technology in theses work. The goal of the competition is to evaluate how students use tools based on generative models in their 2024 graduation theses (GT).

Production of the Future: AI Research Centre Presents Its Developments in Manual Operations Control Systems

Researchers from the HSE AI Research Centre have built a system for the automated control of manual operations, which finds application in industrial production. The system facilitates the process of monitoring objects and actions, as well as controlling the quality of their execution.