On August 30, 2015, the Summer School on Machine Learning in High Energy Physics wrapped up this year’s session. The school, which was held at the St. Petersburg Academic University, was organized by HSE in cooperation with the Yandex School of Data Analysis (SDA) and the Yandex Data Factory (YDF). This school is continuing cooperation between Yandex and CERN, which involves YDF and SDA researchers working together with experimental physicists on solving current problems in the field of physics. Many tasks require using machine learning approaches, which allow for greater accuracy and efficiency in these studies.
The Summer School on Machine Learning in High Energy Physics, which was co-organised by the HSE Faculty of Computer Science and Russian internet company Yandex, has ended. Below, the Head of HSE's Laboratory of Methods for Big Data Analysis, Andrey Ustyuzhanin, talks about the various ways in which physicists and programmers cooperate. He also discusses how researchers from HSE and Yandex have been participating in CERN experiments and how ordinary smartphone users can help unravel the secrets of the universe.
On June 5 a lecture by Tiziano Camporesi (CERN) took place at the Extropolis Conference Center. The event was co-organised by the Laboratory of Methods for Big Data Analysis.
Ewen Gillies, PhD student at the Imperial College of London, COMET experiment member, LAMBDA Research Assistant presented the report 'Pattern Recognition Techniques for Finding Very Rare Events in COMET Experiment' at LAMBDA seminar.
HSE and Yandex have opened a Laboratory for Methods of Big Data Analysis at the HSE Computer Science Faculty (LAMBDA). The purpose of the new academic research lab is to create a world-class research centre to solve fundamental problems in computer science and develop methods for processing and analysing Big Data.