Nov. 19-21 -TU Dortmund, GERMANY
The Large Hadron Collider (LHC) generates terabytes of data per second, and handling this flood of data is a major challenge for physicists. This RAPID 2018 aims at the question if machine learning can assist high-energy physics in this field, specifically in finding the vertices where the particles are created.
The XIMANTIS model finds direct applications to this segment. Despite the XIMANTIS model is currently been introduced to the market as a futuristic traffic management platform, its true nature deals on particles, combining advanced mathematical modelling with AI and can have a profound impact to this area of science.