Patents by Inventor Kristen Howell

Kristen Howell 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).

  • A GENETICALLY MODIFIED IMMUNODEFICIENT MOUSE EXPRESSING HUMAN OR HUMANIZED APP AND MUTATED HUMAN PSEN1
    Publication number: 20240065237
    Abstract: The present disclosure provides immunodeficient mouse models that comprise a nucleic acid encoding a human or humanized amyloid precursor protein (APP) and, in some models, further comprise a nucleic acid encoding a mutated human presenilin 1 protein (PSEN1). These mouse models are useful, for example, for Alzheimer's disease studies.
    Type: Application
    Filed: December 14, 2021
    Publication date: February 29, 2024
    Applicant: The Jackson Laboratory
    Inventors: Gareth Howell, Kristen Onos
  • DOMAIN ADAPTATION OF AI NLP ENCODERS WITH KNOWLEDGE DISTILLATION
    Publication number: 20230237263
    Abstract: Systems, methods, devices, instructions, and other examples are described for natural language processing. One example includes accessing natural language processing general encoder data, where the encoder data is generated from a general-domain dataset that is not domain specific. A domain specific dataset is accessed and filtered encoder data using a subset of the encoder data is generated. The filtered encoder data is trained using the domain specific dataset to generate distilled encoder data, and tuning values for the distilled encoder data are generated to configure task outputs associated with the domain specific dataset.
    Type: Application
    Filed: December 23, 2022
    Publication date: July 27, 2023
    Applicant: LIVEPERSON, INC.
    Inventors: Kristen Howell, Jian Wang, Matthew Dunn, Joseph Bradley
  • Domain adaptation of AI NLP encoders with knowledge distillation
    Patent number: 11568141
    Abstract: Systems, methods, devices, instructions, and other examples are described for natural language processing. One example includes accessing natural language processing general encoder data, where the encoder data is generated from a general-domain dataset that is not domain specific. A domain specific dataset is accessed and filtered encoder data using a subset of the encoder data is generated. The filtered encoder data is trained using the domain specific dataset to generate distilled encoder data, and tuning values for the distilled encoder data are generated to configure task outputs associated with the domain specific dataset.
    Type: Grant
    Filed: April 1, 2022
    Date of Patent: January 31, 2023
    Assignee: LIVEPERSON, INC.
    Inventors: Kristen Howell, Jian Wang, Matthew Dunn, Joseph Bradley
  • DOMAIN ADAPTATION OF AI NLP ENCODERS WITH KNOWLEDGE DISTILLATION
    Publication number: 20220318502
    Abstract: Systems, methods, devices, instructions, and other examples are described for natural language processing. One example includes accessing natural language processing general encoder data, where the encoder data is generated from a general-domain dataset that is not domain specific. A domain specific dataset is accessed and filtered encoder data using a subset of the encoder data is generated. The filtered encoder data is trained using the domain specific dataset to generate distilled encoder data, and tuning values for the distilled encoder data are generated to configure task outputs associated with the domain specific dataset.
    Type: Application
    Filed: April 1, 2022
    Publication date: October 6, 2022
    Applicant: LIVEPERSON, INC.
    Inventors: Kristen Howell, Jian Wang, Matthew Dunn, Joseph Bradley