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Tag "machine learning"

Researchers from IDLab presented their projects at the Fall Into ML 2024 conference

Researchers from IDLab presented their projects at the Fall Into ML 2024 conference
At the end of October, the Higher School of Economics hosted the Fall Into ML 2024 conference, organized jointly with the Artificial Intelligence Laboratory of Sberbank. This annual event served as a platform for leading experts from Sberbank, AIRI, Skoltech, HSE, and other research centers and companies to discuss the latest approaches in the application of artificial intelligence. For the first time, researchers from the International Laboratory of Intangible-driven Economy (IDLab) presented their research findings at such a high-level conference.

‘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’
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.

Joint Project of Scientists from HSE University and Surgut State University to Help Prevent Recurrent Heart Attacks and Strokes

Joint Project of Scientists from HSE University and Surgut State University to Help Prevent Recurrent Heart Attacks and Strokes
One of the winning projects of a competition held by HSE University’s Mirror Laboratories last June focuses on the use of machine learning technologies to predict the outcomes of acute coronary syndrome. It is implemented by HSE University’s International Laboratory of Bioinformatics together with the Research and Educational Centre of the Medical Institute at Surgut State University. Maria Poptsova, Head of the International Laboratory of Bioinformatics and Associate Professor at HSE University’s Faculty of Computer Science, talks about how this joint project originated, how it will help patients, and how work to implement it will be organised.
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