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%.
ANR-Lab weekly seminar 'Errors in Social Network Research Design'
International conference 'How Are the ‘Modern’ Middle Ages Created or Medievalism Studies'
Deadline for submissions - May 1, 2019