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公开(公告)号：US20220309096A1
公开(公告)日：2022-09-29
申请号：US17212014
申请日：2021-03-25
发明人： Ashwini Patil , Ramakrishna R. Yannam , Ion Gerald McCusker , Saahithi Chillara , Ravisha Andar , Emad Noorizadeh , Pravin Kumar Sankari Bhagavathiappan , Yogesh Raghuvanshi , Sushil Golani
摘要： An apparatus includes a memory and processor. The memory stores previous requests and corresponding previous responses. The processor determines that a user device transmitted a new voice request, converts the voice request into a first set of text, and transmits the text to an agent device. The processor applies the machine learning algorithm to the first set of text to generate suggested responses, by identifying patterns shared by the first set of text and a subset of the previous requests that are associated with the suggested responses. The processor transmits the suggested responses to the agent device. The processor then determines that the agent device transmitted voice signals responding to the new request. The processor converts these voice signals into a second set of text. The processor stores the first set of text as a previous request, and the second set of text as a corresponding previous response.
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公开(公告)号：US11782974B2
公开(公告)日：2023-10-10
申请号：US17212014
申请日：2021-03-25
发明人： Ashwini Patil , Ramakrishna R. Yannam , Ion Gerald McCusker , Saahithi Chillara , Ravisha Andar , Emad Noorizadeh , Pravin Kumar Sankari Bhagavathiappan , Yogesh Raghuvanshi , Sushil Golani
摘要： An apparatus includes a memory and processor. The memory stores previous requests and corresponding previous responses. The processor determines that a user device transmitted a new voice request, converts the voice request into a first set of text, and transmits the text to an agent device. The processor applies the machine learning algorithm to the first set of text to generate suggested responses, by identifying patterns shared by the first set of text and a subset of the previous requests that are associated with the suggested responses. The processor transmits the suggested responses to the agent device. The processor then determines that the agent device transmitted voice signals responding to the new request. The processor converts these voice signals into a second set of text. The processor stores the first set of text as a previous request, and the second set of text as a corresponding previous response.
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公开(公告)号：US20240356944A1
公开(公告)日：2024-10-24
申请号：US18302122
申请日：2023-04-18
IPC分类号： H04L9/40
CPC分类号： H04L63/1425 , H04L63/1441
摘要： A system receives a set of input data streams from different data sources. At least one of the set of input data streams comprises a message that indicates an anomaly with respect to a topic associated with a software application. The system determines the topic, the anomaly, and a set of metadata associated with the topic from the set of input data streams. The set of metadata comprises an occurrence frequency of the anomaly in messages, a number of data sources from which messages are received, or a timeframe window within which the messages are received. The system assigns a set of weight values to the set of metadata and determines an accumulated weight value. If it is determined that the accumulated weight value is more than a threshold weight value, the system communicates an alert indicating to execute a countermeasure action that addresses the anomalous topic.
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4.发明公开公开(公告)号：US20240241705A1
公开(公告)日：2024-07-18
申请号：US18156004
申请日：2023-01-18
发明人： Nipun Mahajan , Amit Mishra , Yaksh Kumar Singh , Yogesh Raghuvanshi , Pravin Kumar Sankari Bhagavathiappan
摘要： A system identifies data objects from a first piece of code in an original programming language and creates a knowledge graph that represents a relationship among the data objects. The system identifies an expression syntax in the first piece of code and determines an interpretation of the expression syntax. The system creates a sentence that indicates an interpretation of a respective code line. The system determines a counterpart data object in a target programming language for each word in the created sentence. In response, the system creates a second piece of code in the target programming language, such that the second price of code satisfies syntax rules in the target programming language. In response to determining that the second piece of code is configured to perform a particular task that the first piece of code is configured to, the system executes the second piece of code.
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公开(公告)号：US12124828B2
公开(公告)日：2024-10-22
申请号：US18156004
申请日：2023-01-18
发明人： Nipun Mahajan , Amit Mishra , Yaksh Kumar Singh , Yogesh Raghuvanshi , Pravin Kumar Sankari Bhagavathiappan
摘要： A system identifies data objects from a first piece of code in an original programming language and creates a knowledge graph that represents a relationship among the data objects. The system identifies an expression syntax in the first piece of code and determines an interpretation of the expression syntax. The system creates a sentence that indicates an interpretation of a respective code line. The system determines a counterpart data object in a target programming language for each word in the created sentence. In response, the system creates a second piece of code in the target programming language, such that the second price of code satisfies syntax rules in the target programming language. In response to determining that the second piece of code is configured to perform a particular task that the first piece of code is configured to, the system executes the second piece of code.
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公开(公告)号：US11657819B2
公开(公告)日：2023-05-23
申请号：US17212141
申请日：2021-03-25
发明人： Ion Gerald McCusker , Ramakrishna R. Yannam , Ashwini Patil , Saahithi Chillara , Ravisha Andar , Emad Noorizadeh , Pravin Kumar Sankari Bhagavathiappan , Yogesh Raghuvanshi , Sushil Golani
CPC分类号： G10L15/22 , G06N20/00 , G10L15/10 , G06F16/24578 , G06F16/334 , G09B7/02 , G10L2015/221 , G10L2015/225
摘要： An apparatus includes a memory and a processor. The memory stores a machine learning algorithm configured to select between forwarding a request to an agent device and transmitting an automatically generated reply to the request. The processor receives feedback for a decision made by the algorithm, indicating whether the automatically generated reply includes the information sought by the request. If the algorithm decided to forward the request to the agent device, a reward is assigned to feedback that indicates that the reply does not include the information, while a punishment is assigned to feedback that indicates that the reply includes the information. If the algorithm decided to transmit the reply, a reward is assigned to feedback that indicates that the reply includes the information, and a punishment is assigned to feedback that indicates that the reply does not include the information. The processor updates the algorithm using the reward/punishment.
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7.发明公开公开(公告)号：US20240354220A1
公开(公告)日：2024-10-24
申请号：US18302138
申请日：2023-04-18
IPC分类号： G06F11/36
CPC分类号： G06F11/3612 , G06F11/3664
摘要： A system determines content indicated on a website where a software application is accessible. The system receives a set of rules comprising a first rule that indicates a first generated response is to be published on one or more first platforms. The system generates a first text response according to the first rule and based on the determined content, an anomaly associated with a software application, and a countermeasure action that addresses or resolves the anomaly. The system determines whether the first generated text response corresponds to an expected response. In response to determining that the first generated text response corresponds to the expected response, the system publishes the first generated text response on the one or more first platforms.
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8.发明公开公开(公告)号：US20240241714A1
公开(公告)日：2024-07-18
申请号：US18155939
申请日：2023-01-18
发明人： Nipun Mahajan , Amit Mishra , Yaksh Kumar Singh , Yogesh Raghuvanshi , Pravin Kumar Sankari Bhagavathiappan
摘要： A system identifies data objects from a first piece of code in an original programming language and creates a knowledge graph that represents a relationship among the data objects. The system identifies a particular data object that is unique to the original programming language. The system determines a counterpart data object that is used for a particular purpose as the identified data object in a target programming language. The system creates a second piece of code in the target programming language by replacing the particular data object with the counterpart data object. The system determines if the second piece of code is configured to perform a task that the first piece of code is programmed to perform. In response to determining that the second piece of code is configured to perform the particular task, the system executes the second piece of code.
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公开(公告)号：US20220310086A1
公开(公告)日：2022-09-29
申请号：US17212141
申请日：2021-03-25
发明人： Ion Gerald McCusker , Ramakrishna R. Yannam , Ashwini Patil , Saahithi Chillara , Ravisha Andar , Emad Noorizadeh , Pravin Kumar Sankari Bhagavathiappan , Yogesh Raghuvanshi , Sushil Golani
摘要： An apparatus includes a memory and a processor. The memory stores a machine learning algorithm configured to select between forwarding a request to an agent device and transmitting an automatically generated reply to the request. The processor receives feedback for a decision made by the algorithm, indicating whether the automatically generated reply includes the information sought by the request. If the algorithm decided to forward the request to the agent device, a reward is assigned to feedback that indicates that the reply does not include the information, while a punishment is assigned to feedback that indicates that the reply includes the information. If the algorithm decided to transmit the reply, a reward is assigned to feedback that indicates that the reply includes the information, and a punishment is assigned to feedback that indicates that the reply does not include the information. The processor updates the algorithm using the reward/punishment.
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