Researchers at HSE’s Laboratory of Methods for Big Data Analysis (LAMBDA) and the Yandex School of Data Analysis have significantly reduced the cost of CERN’s future SHiP detector. The detector will search for particles responsible for still unexplained phenomena in the Universe. With use of modern machine learning methods, LAMBDA and Yandex scientists came up with very effective configuration of magnets which protect the detector from background particles. As a result, the cost of the entire structure was reduced by 25%.
Workshop 'Recent Advances in Mass Transportation'
FES International Research Seminar on 'Trade and Financial Globalization: Winners. No Losers'
Seminar 'All Along the Watchtower: Defense Lines and the Origins of Russian Serfdom' by Timur Natkhov