Patents by Inventor Kenneth Samuel

Kenneth Samuel 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: 11977573
    Abstract: Techniques are disclosed for automatic tagging of terms within a document and generating visual representations specifying the identifications to terms in the document and tags assigned to each term. Particularly, responsive to obtaining a document, a term auto-tagging system can implement machine learning and/or natural language processing techniques to compare terms included in the document with a database maintaining a mapping of terms and tags corresponding to each term to assign one or more tags to relevant terms. The identified terms and tags can be provided in a visual representation for processing/review at a client device, and the visual representation can be modified according to actions selected for the identified terms. The modified visual representation can be provided to a client device, and metadata for each term/tag can be uploaded to a database for training the term auto-tagging system.
    Type: Grant
    Filed: December 21, 2021
    Date of Patent: May 7, 2024
    Assignee: Apple Inc.
    Inventors: Nirali K. Sanghvi, Andrew C. Cofano, Connor R. Batch, Kenneth Samuel, Veerandhar Veluvolu, Vlad Costin Pirvu, Nikita Dubnov
  • Publication number: 20230195771
    Abstract: Techniques are disclosed for automatic tagging of terms within a document and generating visual representations specifying the identifications to terms in the document and tags assigned to each term. Particularly, responsive to obtaining a document, a term auto-tagging system can implement machine learning and/or natural language processing techniques to compare terms included in the document with a database maintaining a mapping of terms and tags corresponding to each term to assign one or more tags to relevant terms. The identified terms and tags can be provided in a visual representation for processing/review at a client device, and the visual representation can be modified according to actions selected for the identified terms. The modified visual representation can be provided to a client device, and metadata for each term/tag can be uploaded to a database for training the term auto-tagging system.
    Type: Application
    Filed: December 21, 2021
    Publication date: June 22, 2023
    Applicant: Apple Inc.
    Inventors: Nirali K. Sanghvi, Andrew C. Cofano, Connor R. Batch, Kenneth Samuel, Veerandhar Veluvolu, Vlad Costin Pirvu, Nikita Dubnov
  • Patent number: 5674705
    Abstract: Antigenic proteins may be expressed in bacteria by use of vectors having inserted therein DNA fragments from an envelope gene. The DNA fragments employed in the example are coding sequences found in the HTLV-I envelope gene. The bacteria used was E. coli. The antigenic proteins are useful in identifying antibodies to the organisms from which the DNA fragments were originally obtained.
    Type: Grant
    Filed: February 14, 1994
    Date of Patent: October 7, 1997
    Assignee: The United States of America as represented by the Department of Health and Human Services
    Inventors: Takis S. Papas, Kenneth Samuel, James A. Lautenberger, Flossie Wong-Staal
  • Patent number: 5510238
    Abstract: Antigenic proteins may be expressed in bacteria by use of vectors having inserted therein DNA fragments from an envelope gene. The DNA fragments employed in the example are coding sequences found in the HTLV-I envelope gene. The bacteria used was E. coli. The antigenic proteins are useful in identifying antibodies to the organisms from which the DNA fragments were originally obtained.
    Type: Grant
    Filed: February 7, 1994
    Date of Patent: April 23, 1996
    Assignee: The United States of America as represented by the Secretary of the Department of Health and Human Services
    Inventors: Takis S. Papas, Kenneth Samuel, James A. Lautenberger, Flossie Wong-Staal