Patents by Inventor Nagendra Kumar KARAMALA

Nagendra Kumar KARAMALA 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).

  • Content alignment
    Patent number: 11556610
    Abstract: Examples of a content alignment system are provided. The system may receive a content record and a content creation requirement. The system may implement an artificial intelligence component to sort the content record into a plurality of objects and for identifying an object boundary for each of the plurality of objects. The system may identify a plurality of images and implement a first cognitive learning operation to identify an image boundary for each of the plurality of images. The system may identify a plurality of exhibits and implement a second cognitive learning operation to identify a data pattern associated with each of the plurality of exhibits. The system may implement a third cognitive learning operation for determining a content creation model by evaluating the plurality of objects, the plurality of images, and the plurality of exhibits. The system may generate a content creation output to resolve the content creation requirement.
    Type: Grant
    Filed: November 8, 2019
    Date of Patent: January 17, 2023
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Pratip Samanta, Manash Jyoti Konwar, Keshav Bohra, Himani Shukla, Nagendra Kumar Karamala, Madhura Shivaram, Amit Sharma, Sumeet Sawarkar, Swati Tata
  • CONTENT ALIGNMENT
    Publication number: 20210142356
    Abstract: Examples of a content alignment system are provided. The system may receive a content record and a content creation requirement. The system may implement an artificial intelligence component to sort the content record into a plurality of objects and for identifying an object boundary for each of the plurality of objects. The system may identify a plurality of images and implement a first cognitive learning operation to identify an image boundary for each of the plurality of images. The system may identify a plurality of exhibits and implement a second cognitive learning operation to identify a data pattern associated with each of the plurality of exhibits. The system may implement a third cognitive learning operation for determining a content creation model by evaluating the plurality of objects, the plurality of images, and the plurality of exhibits. The system may generate a content creation output to resolve the content creation requirement.
    Type: Application
    Filed: November 8, 2019
    Publication date: May 13, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Pratip SAMANTA, Manash JYOTI KONWAR, Keshav BOHRA, Himani SHUKLA, Nagendra Kumar KARAMALA, Madhura SHIVARAM, Amit SHARMA, Sumeet SAWARKAR, Swati TATA