Patents by Inventor David Dellsperger

David Dellsperger 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: 20220405619
    Abstract: Particular embodiments can update a deployed machine learning model with actual entity data depending on anomalies detected in stream data, which can be stored to a computer object, such as a journal. Various embodiments map particular subsets of a larger pool of raw input data to the particular models that need the input data and store the raw input data to computer objects so that the corresponding machine learning models can make predictions according to any suitable policy or triggering event on any of the data located in the computer objects. Such mapping allows each machine learning model to continuously make predictions based on the data it needs.
    Type: Application
    Filed: June 22, 2021
    Publication date: December 22, 2022
    Inventors: Uttam B. Ramamurthy, David Dellsperger, Christopher S. Finn, Brandon Davis, James Gritter, Stephen Patel, Maulik Gandhi, Adam Sabaliauskas