• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
HSE University
EN
Advanced search
Laboratory of Methods for Big Data Analysis
EN
For visually-impaired
Advanced search
Menu

Laboratory of Methods for Big Data Analysis (LAMBDA)

Tag "research projects"

AI to Enable Accurate Modelling of Data Storage System Performance

AI to Enable Accurate Modelling of Data Storage System Performance
Researchers at the HSE Faculty of Computer Science have developed a new approach to modelling data storage systems based on generative machine learning models. This approach makes it possible to accurately predict the key performance characteristics of such systems under various conditions. Results have been published in the IEEE Access journal.
HSE Development Programme until 2030 publications research projects artificial intelligence data storage frontiers of science mirror laboratories
June 27

Faculty of Computer Science Lab Develops Monitoring System for LHC Experiment

Faculty of Computer Science Lab Develops Monitoring System for LHC Experiment
Researchers from the Laboratory of Methods for Big Data Analysis (LAMBDA) at the HSEFaculty of Computer Science have created a monitoring system that is used in the Large Hadron Collider beauty experiment (LHCb). The system helps track the quality of the collected data and allows operators to quickly find errors.
Research & Expertise research projects achievements big data
June 20, 2022

HSE University among Founders of Super C-Tau Factory

HSE University among Founders of Super C-Tau Factory
Ten universities and institutes have announced a partnership to construct an electron-positron collider in order to study the production and properties of charmed particles and tau leptons. The new experiment will be part of the Super C-Tau Factory project. It was founded by two international teams and eight from Russia, including HSE University.
Research & Expertise new at HSE research projects international cooperation
November 22, 2021

Seminar LAMBDA on «Data Storage optimization by using data popularity information»

Mikhail Guschin, researcher of SDA delivered the report 'Data Storage optimization by using data popularity information'.
Education ideas & experience research projects
January 29, 2016

LAMBDA Seminar on 'Pattern Recognition Techniques for Finding Very Rare Events in COMET Experiment'

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.
Research & Expertise students research projects
May 29, 2015