Higgs boson and Machine Learning: a challenge

Higgs boson and Machine Learning: a challenge

Posted by Rebecca Martin on Sun, 29/06/2014 - 15:16

About a week ago we opened the Higgs boson machine learning challenge (HiggsML) to promote collaboration between high-energy physicists and computer scientists. For the first time, the ATLAS experiment at CERN made public some of the simulated data used by physicists to optimize the analysis of the Higgs boson. The Challenge is organized by a small group of ATLAS physicists and computer scientists from LAL (Université Paris Sud and CNRS/IN2P3), LRI (Université Paris Sud and CNRS), INRIA, Royal Holloway University of London, and ChaLearn. It is hosted by Kaggle at


The goal of the Challenge is to explore the potential of advanced machine learning methods to improve the discovery significance of the experiment. No knowledge of particle physics is required to participate. The Challenge will run until mid-September 2014 and will award three cash prizes. In addition, those providing the most useful methods be invited to CERN to discuss their results with high-energy physicists.

Welcome !