Data analysis in the age of AI
Experts in data analysis, statistics and machine learning for physics came together from 9 to 12 September for PHYSTAT’s Statistics meets Machine Learning workshop.
Thank you for registering
If you'd like to change your details at any time, please visit My account
Experts in data analysis, statistics and machine learning for physics came together from 9 to 12 September for PHYSTAT’s Statistics meets Machine Learning workshop.
By parking events triggered by a single muon, CMS collected an inclusive sample of approximately 10 billion b-hadrons in 2018.
As the harvest of data from the LHC experiments continues to increase, so does the required number of simulated collisions.
A new five-year-long project aims to accelerate novel computing, engineering and scientific ideas for the ATLAS and CMS upgrades.
The European Union project Open Web Search aims to provide an unbiased and transparent alternative to commercial search engines.
AI tools developed for particle physics could also be game-changers in nuclear fusion, astrophysics, computer science and biology.
Volker Lindenstruth goes behind the scenes of a completely new computing model that allows the ALICE collaboration to merge online and offline data processing into a single software framework.
Researchers from CERN, DESY, IBM Quantum and more than 30 other organisations plot a course for quantum computing in particle physics.
The LHC and the Higgs-boson discovery not only accelerated science, but also took event displays to a new level.
“Robust software solutions that deliver step-function advances in accelerator design, engineering and research productivity.” Writ large, that’s the unifying goal shaping the day-to-day work of ...