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  • ‘We Bring Together the Best Russian Scientists and AI Researchers at HSE University Site’

‘We Bring Together the Best Russian Scientists and AI Researchers at HSE University Site’

‘We Bring Together the Best Russian Scientists and AI Researchers at HSE University Site’

© HSE University

On October 25–26, 2024, HSE University’s AI and Digital Science Institute and the AI Research Centre hold the Fall into ML 2024 conference in Moscow. This year’s event will focus on the prospects in development of fundamental artificial intelligence, with SBER as its conference title partner.

Leading scientists in the field of artificial intelligence will gather at HSE University to present their best works published in 2024 at A* level conferences considered to be the flagship events in this field.

During the conference, experts will discuss topical issues of machine learning, including deep neural networks, reinforcement learning, as well as their application in industry, natural and social sciences, healthcare, climate science, and other fields. In addition, topics related to language models, computer vision, optimisation, robotics, and many others will be touched upon.

Over the course of two days, conference participants will take part in a tutorial, listen to selected presentations, and participate in panel discussions and workshops on AI in bioinformatics, finance, and other topics.

At the panel discussion on training talented artificial intelligence researchers, representatives of Russian science and universities will discuss recent achievements in AI, based on the work of scientists conducting academic and industry research in this field worldwide. During the discussion, participants will touch upon the issues related to training scientific personnel, as well as supporting and attracting talent.

For the first time, a panel discussion dedicated to women in science will be held at Fall into ML. Women in science will discuss the development of AI technologies and how to make the scientific world more inclusive. One of the key events of the conference will be a poster session, where the best works of Russian scientists in the field of artificial intelligence implemented in 2024 will be showcased.

Alexey Naumov

Director for Fundamental Research at the AI and Digital Science Institute at the Faculty of Computer Science, organiser of the Fall into ML

‘Sticking to tradition, it will be the third time that at the end of October we will bring together the best Russian scientists and AI researchers at the HSE University site. The number of participants and the quality of their reports are increasing every year. In 2024, we expect more than 100 poster presentations, the majority to be presented by promising researchers. It’s a great honour for the university to host the conference participants on our campus.’

Gleb Gusev

Senior Managing Director, Sber AI Lab

‘Sber AI Lab participated in the event last year. Due to positive feedback on the successful participation, we have decided to expand our format of interaction with Fall into ML in 2024 and sponsor the event.

The Fall into ML conference is a targeted event to promote SBER scientific brand. Within the conference, the AI Lab will integrate its Financial AI scientific section, conduct lectures and workshops where you can share your experience and talk about publications and research relevant to SBER, while receiving feedback from experts and colleagues in the industry.’

In 2023, over 50 authors of publications at A* level conferences took part in Fall into ML. Over three days, more than 300 participants attended workshops, panel discussions, sections, and a poster session. To view the highlights from Fall into ML 2023, please follow the link.

Students, doctoral students, and researchers working in the field of artificial intelligence are welcome to register and take part in Fall into ML 2024.

You can find more information about the conference programme and terms of participation on our official website and Telegram channel.

See also:

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HSE University to Host ‘Fall into ML 2023’ Machine Learning Conference

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