Tag "Invitation to participate"

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.

On April 6–8, HSE University-St Petersburg will hold the HSE International Model United Nations. Registration is open till March 1. Participation is open to both university and high school students.

Applications for the fourth HSE University Competition of the Best Russian-language Scientific and Popular Science Papers will be accepted from February 1 to March 15. The authors that receive the highest scores from the expert jury will be awarded on June 6—Russian Language Day. The main goal of the competition is to support and promote Russian language as a language of science, as well as to popularise works affiliated with HSE University among the global Russian-speaking audience.

Reports on new research results will be presented and discussed as part of the conference’s sections. These reports will be selected based on reviews of proposals. As always, the conference programme features expert discussions of the most pressing economic, social, internal and external issues in the format of roundtables and associated events.

On November 24-25, 2023, the 12th ICEF-CInSt International Finance Conference is being held. The event shall be organised jointly by the International Laboratory of Financial Economics (LFE ICEF) and the Centre for Institutional Studies (CInSt). LFE Head Vladimir Sokolov and CInSt Acting Director Maria Semenova commented on the participants, key topics to be presented, and how the conference creates a platform for cooperation and co-authorship for experts from all over the world.

Machine Learning (ML) is a field of AI that examines methods and algorithms that enable computers to learn based on experience and data and without explicit programming. With its help, AI can analyse data, recall information, build forecasts, and give recommendations. Machine learning algorithms have applications in medicine, stock trading, robotics, drone control and other fields.