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公开(公告)号：US20200050701A1
公开(公告)日：2020-02-13
申请号：US16059951
申请日：2018-08-09
发明人： Suki Ramasamy , Sasidhar Purushothaman , James McCormack , Manu J. Kurian , Sean M. Gutman , William P. Jacobson
摘要： A natural language processing system that includes an artificial intelligence (AI) engine and a tag management engine. The AI engine is configured to receive a set of audio files and to identify concepts within the set of audio files. The AI engine is further configured to determine a usage frequency for each of the identified concepts and to generate an AI-defined tag for concepts with a usage frequency that is greater than a usage frequency threshold. The tag management engine is configured to receive an audio file, identify tags linked with the audio file, to determine an access frequency for the audio file within a predetermined time period, and to adjust the activity level of the tags based on the access frequency. The tag management engine is further configured to remove tags from the set of tags with an activity level that is less than a purge threshold.
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公开(公告)号：US10423590B2
公开(公告)日：2019-09-24
申请号：US15631854
申请日：2017-06-23
摘要： In one or more embodiments, one or more systems, processes, and/or methods may receive a first data stream and determine a pattern from the first data stream. At least one rule set based at least on the pattern may be determined. A second data stream, different from the first data stream may be received and entities may be determined, where each of the entities may be associated with respective data of the second data stream that satisfies the at least one rule set. At least one data object of the second data stream may be tagged, in response to determining the entities. In one or more embodiments, tagging the at least one data object may associate the at least one data object with at least one of the entities.
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公开(公告)号：US10769205B2
公开(公告)日：2020-09-08
申请号：US16059951
申请日：2018-08-09
发明人： Suki Ramasamy , Sasidhar Purushothaman , James McCormack , Manu J. Kurian , Sean M. Gutman , William P. Jacobson
IPC分类号： G06F16/68 , G06F3/06 , G06F16/907 , G06F40/20
摘要： A natural language processing system that includes an artificial intelligence (AI) engine and a tag management engine. The AI engine is configured to receive a set of audio files and to identify concepts within the set of audio files. The AI engine is further configured to determine a usage frequency for each of the identified concepts and to generate an AI-defined tag for concepts with a usage frequency that is greater than a usage frequency threshold. The tag management engine is configured to receive an audio file, identify tags linked with the audio file, to determine an access frequency for the audio file within a predetermined time period, and to adjust the activity level of the tags based on the access frequency. The tag management engine is further configured to remove tags from the set of tags with an activity level that is less than a purge threshold.
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公开(公告)号：US10572307B2
公开(公告)日：2020-02-25
申请号：US15660234
申请日：2017-07-26
发明人： Shakti Suman , Jisoo Lee , James McCormack
摘要： In one or more embodiments, one or more systems, processes, and/or methods may receive first task sets that include respective first tasks and one or more of respective first priorities, respective first minimum computing resource allocations, and respective first maximum processing times; receive first satisfaction information associated with processing the first task sets; receive first execution metric information associated with processing the first task sets; determine a first pattern based at least on the first satisfaction information and based at least on the first execution metric information; receive second task sets that include respective second tasks and one or more of respective second priorities, respective second minimum computing resource allocations, and respective second maximum processing times; determine, based at least on the first pattern, computing resources allocations for the second task sets; and determine, based at least on the first pattern, a processing order for the second task sets.
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公开(公告)号：US20200050703A1
公开(公告)日：2020-02-13
申请号：US16059893
申请日：2018-08-09
发明人： Sasidhar Purushothaman , Manu J. Kurian , Sean M. Gutman , James McCormack , Suki Ramasamy , William P. Jacobson
摘要： A natural language processing system that includes an artificial intelligence (AI) engine, a tagging engine, and a resource allocation engine. The AI engine is configured to receive a set of audio files and to identify concepts within the set of audio files. The AI engine is further configured to determine a usage frequency for each of the identified concepts and to generate an AI-defined tag for concepts with a usage frequency that is greater than a usage frequency threshold. The tagging engine is configured to receive an audio file and to modify metadata for the audio file to include AI-defined tags. The resource allocation engine is configured to identify a storage location from among the plurality of storage devices based on tags associated with the audio file and send the audio file to the identified storage location.
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公开(公告)号：US20200050702A1
公开(公告)日：2020-02-13
申请号：US16059798
申请日：2018-08-09
发明人： James McCormack , Sean M. Gutman , Manu J. Kurian , Sasidhar Purushothaman , Suki Ramasamy , William P. Jacobson
摘要： A natural language processing system that includes an artificial intelligence (AI) engine and a tagging engine. The AI engine is configured to receive a set of audio files and to identify concepts within the set of audio files. The AI engine is further configured to determine a usage frequency for each of the identified concepts and to generate an AI-defined tag for concepts with a usage frequency that is greater than a usage frequency threshold. The tagging engine is configured to receive an audio file and to identify observed concepts within the audio file. The tagging engine is further configured to compare the observed concepts to the first set of concepts, to determine one or more observed concepts matches concepts linked with AI-defined tags, and to modify metadata for the audio file to include AI-defined tags.
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公开(公告)号：US10963510B2
公开(公告)日：2021-03-30
申请号：US16059798
申请日：2018-08-09
发明人： James McCormack , Sean M. Gutman , Manu J. Kurian , Sasidhar Purushothaman , Suki Ramasamy , William P. Jacobson
IPC分类号： G06F16/68 , G06F40/30 , G06F16/683
摘要： A natural language processing system that includes an artificial intelligence (AI) engine and a tagging engine. The AI engine is configured to receive a set of audio files and to identify concepts within the set of audio files. The AI engine is further configured to determine a usage frequency for each of the identified concepts and to generate an AI-defined tag for concepts with a usage frequency that is greater than a usage frequency threshold. The tagging engine is configured to receive an audio file and to identify observed concepts within the audio file. The tagging engine is further configured to compare the observed concepts to the first set of concepts, to determine one or more observed concepts matches concepts linked with AI-defined tags, and to modify metadata for the audio file to include AI-defined tags.
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公开(公告)号：US20190034227A1
公开(公告)日：2019-01-31
申请号：US15660234
申请日：2017-07-26
发明人： Shakti Suman , Jisoo Lee , James McCormack
CPC分类号： G06F9/4881 , G06F9/5038 , G06N7/005 , G06N20/00
摘要： In one or more embodiments, one or more systems, processes, and/or methods may receive first task sets that include respective first tasks and one or more of respective first priorities, respective first minimum computing resource allocations, and respective first maximum processing times; receive first satisfaction information associated with processing the first task sets; receive first execution metric information associated with processing the first task sets; determine a first pattern based at least on the first satisfaction information and based at least on the first execution metric information; receive second task sets that include respective second tasks and one or more of respective second priorities, respective second minimum computing resource allocations, and respective second maximum processing times; determine, based at least on the first pattern, computing resources allocations for the second task sets; and determine, based at least on the first pattern, a processing order for the second task sets.
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公开(公告)号：US20180373739A1
公开(公告)日：2018-12-27
申请号：US15631854
申请日：2017-06-23
IPC分类号： G06F17/30
CPC分类号： G06F16/211 , G06F16/178 , G06F16/25 , G06F16/27 , H04L67/10
摘要： In one or more embodiments, one or more systems, processes, and/or methods may receive a first data stream and determine a pattern from the first data stream. At least one rule set based at least on the pattern may be determined. A second data stream, different from the first data stream may be received and entities may be determined, where each of the entities may be associated with respective data of the second data stream that satisfies the at least one rule set. At least one data object of the second data stream may be tagged, in response to determining the entities. In one or more embodiments, tagging the at least one data object may associate the at least one data object with at least one of the entities.
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