CERN collaborates with Ximantis on particle-traffic prediction challenges

CERN collaborates with Ximantis on particle-traffic prediction challenges

CERN, the European Organization for Nuclear Research based near Geneva, Switzerland, is best known as maker of the Large Hadron Particle Collider (LHC), a 16-mile underground loop that pushes subatomic particles close to the speed of light.

The collaboration between CERN and Ximantis, will apply machine learning on particle data for traffic predictions in the field of high-energy physics in search of better ways to handle the huge quantities of data originating from particle collisions produced by the LHC.

Addressing these CERN challenges is also important to Ximantis where fast and accurate predictions are necessary to guide the decision-making process for congestion avoidance and better routing for fleets and connected cars navigating the chaotic complexities of urban traffic.

CERN is using Field-Programmable Gate Arrays (FPGAs), a hardware solution that can execute complex decision-taking algorithms in micro-seconds. The Ximantis and CERN collaboration aims to use FPGAs for fast Machine Learning applications, that will benefit both the particle physics field and Intelligent Transport Systems (ITS) applications targeting reduction in congestion.

Other collaborating partners include: ZENUITY, LIGHTBOX, ULIEGE, UNIBO, POINT8 and IBM.