Patents by Inventor Raju Uppalapati

Raju Uppalapati 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).

  • Publication number: 20230385645
    Abstract: A method includes, for each floating-point layer in a set of floating-point layers: calculating a set of input activations and a set of output activations of the floating-point layer; converting the floating-point layer to a low-bit-width layer; calculating a set of low-bit-width output activations based on the set of input activations; and calculating a per-layer deviation statistic of the low-bit-width layer. The method also includes ordering the set of low-bit-width layers based on the per-layer deviation statistic of each low-bit-width layer.
    Type: Application
    Filed: August 9, 2023
    Publication date: November 30, 2023
    Inventors: Wajahat Qadeer, Rehan Hameed, Satyanarayana Raju Uppalapati, Abhilash Bharath Ghanore, Kasanagottu Sai Ram
  • Patent number: 11763158
    Abstract: A method includes, for each floating-point layer in a set of floating-point layers: calculating a set of input activations and a set of output activations of the floating-point layer; converting the floating-point layer to a low-bit-width layer; calculating a set of low-bit-width output activations based on the set of input activations; and calculating a per-layer deviation statistic of the low-bit-width layer. The method also includes ordering the set of low-bit-width layers based on the per-layer deviation statistic of each low-bit-width layer.
    Type: Grant
    Filed: December 4, 2020
    Date of Patent: September 19, 2023
    Assignee: Deep Vision Inc.
    Inventors: Wajahat Qadeer, Rehan Hameed, Satyanarayana Raju Uppalapati, Abhilash Bharath Ghanore, Kasanagottu Sai Ram
  • Publication number: 20230195590
    Abstract: A method includes: accessing a static schedule of a target neural network for execution by a processing device, the target neural network including a set of layers; generating a set of expected performance metrics of the target neural network based on the static schedule, the set of expected performance metrics including a first expected performance metric for a first layer in the set of layers; accessing a set of runtime performance metrics captured during execution of the target neural network by the processing device, the set of runtime performance metrics including a first runtime performance metric for the first layer; and, in response to detecting a difference between the first runtime performance metric and the first expected performance metric exceeding a threshold, serving an alert at a user interface.
    Type: Application
    Filed: December 20, 2022
    Publication date: June 22, 2023
    Inventors: Satyanarayana Raju Uppalapati, Rajasekhar Reddy Ereddy, Sameek Banerjee, Mohammed Shahim, Shilpa Kallem, Suresh Kumar Vennam, Abhilash Bharath Ghanore, Raju Datla, Wajahat Qadeer, Rehan Hameed
  • Publication number: 20220198322
    Abstract: Techniques for auto-remediating security issues with artificial intelligence. One technique includes obtaining a problem detected within a signal from an emitter associated with a user, inferring a first response, using a global model having a global set of model parameters learned from mappings between problems and responses globally with respect to preferences of all users using a security architecture, inferring a second response, using a local model having a local set of model parameters learned from mappings between problems and responses locally with respect to preferences of the user; evaluating the first response and the second response using criteria, determining a final response for the problem based on the evaluation of the first response and the second response, and selecting a responder from a set of responders based on the final response. The responder is adapted to take one or more actions to respond to the problem.
    Type: Application
    Filed: December 22, 2020
    Publication date: June 23, 2022
    Applicant: Oracle International Corporation
    Inventors: Leonid Kuperman, Ramakrishna Raju Uppalapati, Prakash Yamuna, Vardhaman Parasmal Modi, Mukarram Baig, Rohit Srivastava
  • Publication number: 20210174172
    Abstract: A method includes, for each floating-point layer in a set of floating-point layers: calculating a set of input activations and a set of output activations of the floating-point layer; converting the floating-point layer to a low-bit-width layer; calculating a set of low-bit-width output activations based on the set of input activations; and calculating a per-layer deviation statistic of the low-bit-width layer. The method also includes ordering the set of low-bit-width layers based on the per-layer deviation statistic of each low-bit-width layer.
    Type: Application
    Filed: December 4, 2020
    Publication date: June 10, 2021
    Inventors: Wajahat Qadeer, Rehan Hameed, Satyanarayana Raju Uppalapati, Abhilash Bharath Ghanore, Kasanagottu Sai Ram
  • Patent number: 10375054
    Abstract: Provided herein are systems and methods of controlling access to a web-based application. Such a system may include an access determination server, an authorization control system, and a first web-based application accessible over a network to a first user device of a first user. The processing device of the access determination server receives application request information from the authorization control system, the application request information including an identifier of the first web-based application and an identifier of the first user, determines an access response based on the application request information and access information feed, transmits the access response to the authorization control system, receives an access result from the authorization control system, the access result being based on a response from a second user device to a notification, and stores the access result in an access information feed system.
    Type: Grant
    Filed: May 2, 2017
    Date of Patent: August 6, 2019
    Assignee: Netflix, Inc.
    Inventor: Raju Uppalapati
  • Publication number: 20170237729
    Abstract: Provided herein are systems and methods of controlling access to a web-based application. Such a system may include an access determination server, an authorization control system, and a first web-based application accessible over a network to a first user device of a first user. The processing device of the access determination server receives application request information from the authorization control system, the application request information including an identifier of the first web-based application and an identifier of the first user, determines an access response based on the application request information and access information feed, transmits the access response to the authorization control system, receives an access result from the authorization control system, the access result being based on a response from a second user device to a notification, and stores the access result in an access information feed system.
    Type: Application
    Filed: May 2, 2017
    Publication date: August 17, 2017
    Inventor: Raju Uppalapati