Patents by Inventor Prashanth Ramanathan

Prashanth Ramanathan 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).

  • Machine-learning based artificial intelligence capability
    Patent number: 12775876
    Abstract: Techniques for providing machine-learned (ML)-based artificial intelligence (AI) capabilities are described. In one technique, multiple AI capabilities are stored in a cloud environment. While the AI capabilities are stored, a request for a particular AI capability is received from a computing device of a user. Also, in response to receiving training data based on input from the user, the training data is stored in a tenancy, associated with the user, in the cloud environment. In response to receiving the request, the particular AI capability is accessed, a ML model is trained based on the particular AI capability and the training data to produce a trained ML model, and an endpoint, in the cloud environment, is generated that is associated with the trained ML model. The endpoint is provided to the tenancy associated with the user.
    Type: Grant
    Filed: May 30, 2023
    Date of Patent: October 27, 2026
    Assignee: Oracle International Corporation
    Inventors: Uday Bhaskar Yalamanchi, FNU Akshat, Prashanth Ramanathan, Abhiram Jagarlapudi, Ye Zhang, Aditya Banerjee, Varaprasad Ballingam, Athinder Patlola, Beiwen Guo, Varun Ketanbhai Shah, Safia Rahmat, Shreyas Vinayakumar, Jigar Mody, Elad Ziklik, Senthilkumar Ponnappan, Pranav Varia, Denesh Krishnan Rajaram, Hariharan Balasubramanian
  • MACHINE-LEARNING BASED ARTIFICIAL INTELLIGENCE CAPABILITY
    Publication number: 20240403693
    Abstract: Techniques for providing machine-learned (ML)-based artificial intelligence (AI) capabilities are described. In one technique, multiple AI capabilities are stored in a cloud environment. While the AI capabilities are stored, a request for a particular AI capability is received from a computing device of a user. Also, in response to receiving training data based on input from the user, the training data is stored in a tenancy, associated with the user, in the cloud environment. In response to receiving the request, the particular AI capability is accessed, a ML model is trained based on the particular AI capability and the training data to produce a trained ML model, and an endpoint, in the cloud environment, is generated that is associated with the trained ML model. The endpoint is provided to the tenancy associated with the user.
    Type: Application
    Filed: May 30, 2023
    Publication date: December 5, 2024
    Inventors: Uday Bhaskar Yalamanchi, FNU Akshat, Prashanth Ramanathan, Abhiram Jagarlapudi, Ye Zhang, Aditya Banerjee, Varaprasad Ballingam, Athinder Patlola, Beiwen Guo, Varun Ketanbhai Shah, Safia Rahmat, Shreyas Vinayakumar, Jigar Mody, Elad Ziklik, Senthilkumar Ponnappan, Pranav Varia, Denesh Krishnan Rajaram, Hariharan Balasubramanian