Patents by Inventor Matthew Donald ZEILER

Matthew Donald ZEILER 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).

  • Patent number: 11714813
    Abstract: Systems, methods and computer program code to propose annotations are provided which include identifying an input, applying a grouping model to the input to predict at least a first grouping concept associated with the input, comparing the at least first grouping concept to a set of relationship data to select at least a first ranking model, applying the at least first ranking model to the input to predict at least a first ranking concept associated with the input, and causing a user interface to display the input, the at least first grouping concept and the at least first ranking concept to a user as proposed annotations of the input.
    Type: Grant
    Filed: April 7, 2021
    Date of Patent: August 1, 2023
    Assignee: Clarifai, Inc.
    Inventors: Matthew Donald Zeiler, Aviral Kulshreshtha
  • Publication number: 20220405617
    Abstract: Systems, methods and computer program code are provided to process an input data object from a data source, including identifying at least a first collector associated with the data source, adding the input data object to a queue of the at least first collector, and applying a post-queue workflow to the input data object to determine whether to pass the input data object from the queue to an output data sink.
    Type: Application
    Filed: June 22, 2021
    Publication date: December 22, 2022
    Inventors: Matthew Donald ZEILER, Alexandros KATECHIS, Harmit MINHAS, Yang SHENG, Prasanna MESTHA
  • Publication number: 20220374116
    Abstract: Systems, methods and computer program code are provided to perform an annotation workflow on an input and includes receiving information associated with an output from a model, the output generated based on application of the model to the input, identifying a first threshold model that applies to the information associated with the output, determining that the information associated with the output satisfies a threshold of the first threshold model, writing the output based on an action specified by the first threshold model, and updating an annotation user interface based on the action specified by the first threshold model.
    Type: Application
    Filed: May 24, 2021
    Publication date: November 24, 2022
    Inventors: Matthew Donald ZEILER, Prasanna MESTHA, Harmit MINHAS, Yang SHENG
  • Publication number: 20220327133
    Abstract: Systems, methods and computer program code to propose annotations are provided which include identifying an input, applying a grouping model to the input to predict at least a first grouping concept associated with the input, comparing the at least first grouping concept to a set of relationship data to select at least a first ranking model, applying the at least first ranking model to the input to predict at least a first ranking concept associated with the input, and causing a user interface to display the input, the at least first grouping concept and the at least first ranking concept to a user as proposed annotations of the input.
    Type: Application
    Filed: April 7, 2021
    Publication date: October 13, 2022
    Inventors: Matthew Donald ZEILER, Aviral KULSHRESHTHA