Self-supervised learning system for anomaly detection with natural language processing and automatic remediation

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.

We claim: 
     
         1 . A computing device comprising:
 a graphics processor;   a host processor; and   a memory including a set of instructions, which when executed by one or more of the graphics processor or the host processor, cause the computing device to:   identify a sequence of events associated with a computer architecture,   categorize, with a natural language processing system, the sequence of events into a sequence of words, and   identify an anomaly based on the sequence of words.   
     
     
         2 . The computing device of  claim 1 , wherein the instructions, when executed, cause the computing device to:
 trigger an automatic remediation process in response to an identification of the anomaly.   
     
     
         3 . The computing device of  claim 1 , wherein the anomaly is associated with a wireless network. 
     
     
         4 . The computing device of  claim 3 , wherein the instructions, when executed, cause the computing device to:
 determine a quality-of-service associated with the wireless network, wherein the anomaly is associated with the quality-of-service.   
     
     
         5 . The computing device of  claim 1 , wherein the sequence of events is associated with a plurality of sources. 
     
     
         6 . The computing device of  claim 1 , wherein the natural language processing system includes artificial intelligence that categorizes the sequence of events into the sequence of words. 
     
     
         7 . A semiconductor apparatus comprising:
 one or more substrates; and   logic coupled to the one or more substrates, wherein the logic is implemented in one or more of configurable logic or fixed-functionality logic hardware, the logic coupled to the one or more substrates to:   identify a sequence of events associated with a computer architecture;   categorize, with a natural language processing system, the sequence of events into a sequence of words; and   identify an anomaly based on the sequence of words.   
     
     
         8 . The apparatus of  claim 7 , wherein the logic coupled to the one or more substrates is to:
 trigger an automatic remediation process in response to an identification of the anomaly.   
     
     
         9 . The apparatus of  claim 7 , wherein the anomaly is associated with a wireless network. 
     
     
         10 . The apparatus of  claim 9 , wherein the logic coupled to the one or more substrates is to:
 determine a quality-of-service associated with the wireless network, wherein the anomaly is associated with the quality-of-service.   
     
     
         11 . The apparatus of  claim 7 , wherein the sequence of events is associated with a plurality of sources. 
     
     
         12 . The apparatus of  claim 7 , wherein the natural language processing system includes artificial intelligence that categorizes the sequence of events into the sequence of words. 
     
     
         13 . The apparatus of  claim 7 , wherein the logic coupled to the one or more substrates includes transistor channel regions that are positioned within the one or more substrates. 
     
     
         14 . At least one computer readable storage medium comprising a set of instructions, which when executed by a computing device, cause the computing device to:
 identify a sequence of events associated with a computer architecture;   categorize, with a natural language processing system, the sequence of events into a sequence of words; and   identify an anomaly based on the sequence of words.   
     
     
         15 . The at least one computer readable storage medium of  claim 14 , wherein the instructions, when executed, cause the computing device to:
 trigger an automatic remediation process in response to an identification of the anomaly.   
     
     
         16 . The at least one computer readable storage medium of  claim 14 , wherein the anomaly is associated with a wireless network. 
     
     
         17 . The at least one computer readable storage medium of  claim 16 , wherein the instructions, when executed, cause the computing device to:
 determine a quality-of-service associated with the wireless network, wherein the anomaly is associated with the quality-of-service.   
     
     
         18 . The at least one computer readable storage medium of  claim 14 , wherein the sequence of events is associated with a plurality of sources. 
     
     
         19 . The at least one computer readable storage medium of  claim 14 , wherein the natural language processing system includes artificial intelligence that categorizes the sequence of events into the sequence of words. 
     
     
         20 . A method comprising:
 identifying a sequence of events associated with a computer architecture;   categorizing, with a natural language processing system, the sequence of events into a sequence of words; and   identifying an anomaly based on the sequence of words.   
     
     
         21 . The method of  claim 20 , further comprising:
 triggering an automatic remediation process in response to an identification of the anomaly.   
     
     
         22 . The method of  claim 20 , wherein the anomaly is associated with a wireless network. 
     
     
         23 . The method of  claim 22 , further comprising:
 determining a quality-of-service associated with the wireless network, wherein the anomaly is associated with the quality-of-service.   
     
     
         24 . The method of  claim 20 , wherein the sequence of events is associated with a plurality of sources. 
     
     
         25 . The method of  claim 20 , wherein the natural language processing system includes artificial intelligence that categorizes the sequence of events into the sequence of words.