MatrixNet is a proprietary machine learning algorithm developed by Yandex and used widely throughout the company products.
The algorithm is based on gradient boosting, and was introduced since 2009.
[1][2] CERN is using the algorithm to analyze, and search through the colossal data outputs generated by the use of the Large Hadron Collider.
[3]