Invention Grant
- Patent Title: Self-supervised learning system for anomaly detection with natural language processing and automatic remediation
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Application No.: US16914300Application Date: 2020-06-27
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Publication No.: US11409594B2Publication Date: 2022-08-09
- Inventor: Javier Sebastian Turek , Vy Vo , Javier Perez-Ramirez , Marcos Carranza , Mateo Guzman , Cesar Martinez-Spessot , Dario Oliver
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Jordan IP Law, LLC
- Main IPC: G06F11/07
- IPC: G06F11/07 ; G06F40/279 ; G06N3/02 ; G06F11/30 ; G06F40/30 ; G06F40/56
Abstract:
Systems, apparatuses and methods may provide for technology that identifies a sequence of events associated with a computer architecture, categorizes, with a natural language processing system, the sequence of events into a sequence of words, identifying an anomaly based on the sequence of words and triggering an automatic remediation process in response to an identification of the anomaly.
Information query
