and soon EMF readings to integrate for truly interactive computing.
Originally posted on Gigaom:
The European Organization for Nuclear Research, or CERN, is perhaps best-known for two things: (probably) locating the elusive Higgs Boson, and being the birthplace of the web. Now that second claim to fame is circling back, with Yandex — Russia’s answer to Google — offering up its core search technology for testing in CERN’s physics work.
The technology in question is called MatrixNet. It’s a machine learning tool that helps Yandex rank search results for relevancy, but in this case CERN is testing it out alongside other proprietary Yandex data-processing technologies in order to pick rare but important events out of the masses of data produced in CERN’s experiments. Essentially, it is being used to more accurately establish statistical relevance, so that CERN can call something a ‘major discovery’ with more certainty.
The research facility is already using MatrixNet to sift through data on B-meson decay analysis (this is part of the quest for supersymmetry, which tests the boundaries of the Standard Model of physics), but now CERN will also see whether it can help across other aspects of its work.