Patents by Inventor Divya Ramesh

Divya Ramesh 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: 20240330280
    Abstract: The disclosure is directed to systems and techniques for executing a documentation application displaying a graphical user interface having a content-creation field configured to receive textual input. A link-creation window may be generated, which facilitates browsing content without leaving a current application. Using the disclosed interface, a user can generate a selectable graphical object that links to other content, the selectable graphical object created from within the context of the content-creation field interface.
    Type: Application
    Filed: March 29, 2024
    Publication date: October 3, 2024
    Inventors: Andre Mauritz, Erik Gui, Divya Ramesh, Amy Cheong, Sami Nudelman
  • Patent number: 11822785
    Abstract: Media, methods, and systems are disclosed for managing focus for an application having a plurality of application user interface components. Initially, a first user interface component receives a first keystroke. Responsive to receiving the first keystroke, the application transitions from a default or pointing device navigation mode to a managed or keyboard navigation mode. The first user interface component receives a second keystroke, and responsive thereto invokes an application focus manager to set a destination user interface component identifier. Next, a second user interface component associated with the destination user interface component identifier compares the destination user interface component identifier to its own component identifier. Finally, the second user interface component claims keyboard input focus in the application.
    Type: Grant
    Filed: July 12, 2021
    Date of Patent: November 21, 2023
    Assignee: Salesforce, Inc.
    Inventors: Divya Ramesh Kamath, Todd Christopher Kloots
  • Publication number: 20230012141
    Abstract: Media, methods, and systems are disclosed for managing focus for an application having a plurality of application user interface components. Initially, a first user interface component receives a first keystroke. Responsive to receiving the first keystroke, the application transitions from a default or pointing device navigation mode to a managed or keyboard navigation mode. The first user interface component receives a second keystroke, and responsive thereto invokes an application focus manager to set a destination user interface component identifier. Next, a second user interface component associated with the destination user interface component identifier compares the destination user interface component identifier to its own component identifier. Finally, the second user interface component claims keyboard input focus in the application.
    Type: Application
    Filed: July 12, 2021
    Publication date: January 12, 2023
    Inventors: Divya Ramesh Kamath, Todd Christopher Kloots
  • Patent number: 10831820
    Abstract: Published multimedia including both images and associated text are used to train a neural network, or other machine learning system. The neural network is trained to facilitate the identification and selection of other images for association with other text, and subsequent publishing together in multimedia. The neural network is optionally configured to receive text, or a representation thereof, and generate an image feature vector in response. Embodiments include the use of the trained neural network to select images for publication in multimedia.
    Type: Grant
    Filed: July 3, 2018
    Date of Patent: November 10, 2020
    Assignee: CloudSight, Inc.
    Inventors: Divya Ramesh, Brad Folkens
  • Publication number: 20180314715
    Abstract: Published multimedia including both images and associated text are used to train a neural network, or other machine learning system. The neural network is trained to facilitate the identification and selection of other images for association with other text, and subsequent publishing together in multimedia. The neural network is optionally configured to receive text, or a representation thereof, and generate an image feature vector in response. Embodiments include the use of the trained neural network to select images for publication in multimedia.
    Type: Application
    Filed: July 3, 2018
    Publication date: November 1, 2018
    Inventors: Divya Ramesh, Brad Folkens