CERN Partners Yandex to Utilize MatrixNet Machine Learning Tool for Research

Yandex uses MatrixNet technology, a machine learning tool, for returning relevant search results. This is the technology that Yandex is handing over to CERN thereby enabling the research organization to pinpoint rare and important events out of the terabytes of data that is produced during experiments. CERN is using the technology to be more certain about a particular discovery by establishing statistical relevance.

CERN has brought in Yandex as an associate member of CERN openlab. Openlab is CERN’s way of collaborating with private sector IT companies like HP and Oracle for “development of cutting-edge solutions that may be used by the worldwide LHC community.” Yandex isn’t new to helping out CERN as previously it created a specialized search tool which the research organization used to sift through data generated from one of the experiments at the LHC.

“Today’s physics deals with large datasets that need to be properly processed and interpreted. New discoveries are all but impossible without meticulous data analysis” said Bob Jones, head of CERN Openlab in a statement. “To this respect we are very interested in using and testing the services and technologies Yandex is developing” he added further.

Yandex is pleased with this development as well and according to the search company their membership with CERN openlab will allow them to contribute to the organization’s projects and give them access to the LHC experiment data. Yandex also said that access to this data will enable them to improve their technologies as well as contribute to advancement in physics.