US Patent Issued to FORTINET on June 2 for "Machine learning systems and methods for classification based auto-annotation" (Canadian Inventor)

ALEXANDRIA, Va., June 2 -- United States Patent no. 12,645,922, issued on June 2, was assigned to FORTINET INC. (Sunnyvale, Calif.).

"Machine learning systems and methods for classification based auto-annotation" was invented by Sameer T. Khanna (Cupertino, Canada).

According to the abstract* released by the U.S. Patent & Trademark Office: "Among a great deal of other disclosure and scope, systems and methods are enclosed that enable automated labelling of a subset of vectors in a given problem space. For example, in some of many cases, a first machine learning model pre-trained on a given problem space makes predictions regarding fresh, unseen data. In addition to this prediction, the model can output a confidence metric indicating its c...