Patents by Inventor Kurtis Peter Dane

Kurtis Peter Dane 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).

  • SYSTEMS AND METHODS TO DETERMINE AND UTILIZE CONCEPTUAL RELATEDNESS BETWEEN NATURAL LANGUAGE SOURCES
    Publication number: 20240143606
    Abstract: A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty.
    Type: Application
    Filed: January 5, 2024
    Publication date: May 2, 2024
    Applicant: VETTD, INC.
    Inventors: Andrew Buhrmann, Michael Buhrmann, Ali Shokoufandeh, Jesse Smith, Yakov Keselman, Kurtis Peter Dane
  • Systems and methods to determine and utilize conceptual relatedness between natural language sources
    Patent number: 11899674
    Abstract: A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty.
    Type: Grant
    Filed: January 13, 2021
    Date of Patent: February 13, 2024
    Assignee: VETTD, INC.
    Inventors: Andrew Buhrmann, Michael Buhrmann, Ali Shokoufandeh, Jesse Smith, Yakov Keselman, Kurtis Peter Dane
  • SYSTEMS AND METHODS TO DETERMINE AND UTILIZE CONCEPTUAL RELATEDNESS BETWEEN NATURAL LANGUAGE SOURCES
    Publication number: 20210294811
    Abstract: A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty.
    Type: Application
    Filed: January 13, 2021
    Publication date: September 23, 2021
    Inventors: Andrew Buhrmann, Michael Buhrmann, Ali Shokoufandeh, Jesse Smith, Yakov Keselman, Kurtis Peter Dane
  • Systems and methods to determine and utilize conceptual relatedness between natural language sources
    Patent number: 11003671
    Abstract: A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty.
    Type: Grant
    Filed: November 25, 2015
    Date of Patent: May 11, 2021
    Assignee: VETTD, INC.
    Inventors: Andrew Buhrmann, Michael Buhrmann, Ali Shokoufandeh, Jesse Smith, Yakov Keselman, Kurtis Peter Dane
  • SYSTEMS AND METHODS TO DETERMINE AND UTILIZE CONCEPTUAL RELATEDNESS BETWEEN NATURAL LANGUAGE SOURCES
    Publication number: 20160232160
    Abstract: A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty.
    Type: Application
    Filed: November 25, 2015
    Publication date: August 11, 2016
    Inventors: Andrew Buhrmann, Michael Buhrmann, Ali Shokoufandeh, Jesse Smith, Yakov Keselman, Kurtis Peter Dane