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%.
Thursday, February 21
Research seminar on ‘European Union: Forming a New Agent in the Field of International Security’ with Georgey Kuterev and Richard Sakwa
CInSt Research Seminar 'All Along the Watchtower: Defense Lines and the Origins of Russian Serfdom'
Friday, February 22
Mini-workshop 'New Frontiers in High-dimensional Probability and Statistics 2'
Lecture by Richard Sakwa on 'Reflections on Post-Cold War International Order'