Patents by Inventor Srinath M R

Srinath M R has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Software code vectorization converter
    Patent number: 11782685
    Abstract: A code converter uses machine learning to determine conflicts and redundancies in software code. Generally, the code converter uses machine learning to convert software code into vectors that represent the code. These vectors may then be compared with other vectors to determine similarities between code. The similarities may be used to detect conflicts and/or redundancies created during the development process (e.g., when a developer attempts to change the code).
    Type: Grant
    Filed: June 17, 2020
    Date of Patent: October 10, 2023
    Assignee: Bank of America Corporation
    Inventors: Madhusudhanan Krishnamoorthy, Samrat Bhasin, Prince Noel Pradeep Santhappa Durai, Vaasudevan Sundaram, Srinath M R
  • Software code converter for resolving redundancy during code development
    Patent number: 11573775
    Abstract: A code converter uses machine learning to determine conflicts and redundancies in software code. Generally, the code converter uses machine learning to convert software code into vectors that represent the code. These vectors may then be compared with other vectors to determine similarities between code. The similarities may be used to detect conflicts and/or redundancies created during the development process (e.g., when a developer attempts to change the code).
    Type: Grant
    Filed: July 2, 2020
    Date of Patent: February 7, 2023
    Assignee: Bank of America Corporation
    Inventors: Madhusudhanan Krishnamoorthy, Samrat Bhasin, Prince Noel Pradeep Santhappa Durai, Vaasudevan Sundaram, Srinath M R
  • Software code converter for resolving conflicts during code development
    Patent number: 11347500
    Abstract: A code converter uses machine learning to determine conflicts and redundancies in software code. Generally, the code converter uses machine learning to convert software code into vectors that represent the code. These vectors may then be compared with other vectors to determine similarities between code. The similarities may be used to detect conflicts and/or redundancies created during the development process (e.g., when a developer attempts to change the code).
    Type: Grant
    Filed: June 17, 2020
    Date of Patent: May 31, 2022
    Assignee: Bank of America Corporation
    Inventors: Madhusudhanan Krishnamoorthy, Samrat Bhasin, Prince Noel Pradeep Santhappa Durai, Vaasudevan Sundaram, Srinath M R
  • SOFTWARE CODE CONVERTER FOR RESOLVING REDUNDANCY DURING CODE DEVELOPMENT
    Publication number: 20210397423
    Abstract: A code converter uses machine learning to determine conflicts and redundancies in software code. Generally, the code converter uses machine learning to convert software code into vectors that represent the code. These vectors may then be compared with other vectors to determine similarities between code. The similarities may be used to detect conflicts and/or redundancies created during the development process (e.g., when a developer attempts to change the code).
    Type: Application
    Filed: July 2, 2020
    Publication date: December 23, 2021
    Inventors: Madhusudhanan Krishnamoorthy, Samrat Bhasin, Prince Noel Pradeep Santhappa Durai, Vaasudevan Sundaram, Srinath M R
  • SOFTWARE CODE CONVERTER FOR RESOLVING CONFLICTS DURING CODE DEVELOPMENT
    Publication number: 20210397422
    Abstract: A code converter uses machine learning to determine conflicts and redundancies in software code. Generally, the code converter uses machine learning to convert software code into vectors that represent the code. These vectors may then be compared with other vectors to determine similarities between code. The similarities may be used to detect conflicts and/or redundancies created during the development process (e.g., when a developer attempts to change the code).
    Type: Application
    Filed: June 17, 2020
    Publication date: December 23, 2021
    Inventors: Madhusudhanan Krishnamoorthy, Samrat Bhasin, Prince Noel Pradeep Santhappa Durai, Vaasudevan Sundaram, Srinath M R
  • SOFTWARE CODE VECTORIZATION CONVERTER
    Publication number: 20210397421
    Abstract: A code converter uses machine learning to determine conflicts and redundancies in software code. Generally, the code converter uses machine learning to convert software code into vectors that represent the code. These vectors may then be compared with other vectors to determine similarities between code. The similarities may be used to detect conflicts and/or redundancies created during the development process (e.g., when a developer attempts to change the code).
    Type: Application
    Filed: June 17, 2020
    Publication date: December 23, 2021
    Inventors: Madhusudhanan Krishnamoorthy, Samrat Bhasin, Prince Noel Pradeep Santhappa Durai, Vaasudevan Sundaram, Srinath M R