Patents by Inventor HUNTER ALBRIGHT

HUNTER ALBRIGHT 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: 11942783
    Abstract: A system and method for data collection and aggregation using a distributed network of communications enabled sensors connected to another primary network to achieve a secondary out-of-band monitoring perspective, for example, in power grids. The data collection system includes an aggregation and processing server configured to collect data from a variety of sensors adjacent to the monitored network each sensor includes secondary power such that it can continue data transmission even during power grid outages. The data collection system includes a method for secure real-time data ingest, machine learning enabled analysis, risk assessment, and anomaly detection on a broad geographic scale irrespective of isolated network boundaries.
    Type: Grant
    Filed: August 29, 2021
    Date of Patent: March 26, 2024
    Assignee: Cable Television Laboratories, Inc.
    Inventors: Scott L. Caruso, Jason W. Rupe, Robert F. Cruickshank, III, Daniel Stoller, Hunter Albright
  • Patent number: 11935099
    Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Grant
    Filed: December 30, 2021
    Date of Patent: March 19, 2024
    Assignee: REALM IP, LLC
    Inventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
  • Publication number: 20220383386
    Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Application
    Filed: December 30, 2021
    Publication date: December 1, 2022
    Applicant: REALM IP, LLC
    Inventors: JULIE L. FAUPEL, HUNTER ALBRIGHT, EDWARD DOMBROWER
  • Publication number: 20220148069
    Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Application
    Filed: December 30, 2021
    Publication date: May 12, 2022
    Applicant: REALM IP, LLC
    Inventors: JULIE L. FAUPEL, HUNTER ALBRIGHT, EDWARD DOMBROWER
  • Patent number: 11244374
    Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Grant
    Filed: December 3, 2019
    Date of Patent: February 8, 2022
    Assignee: REALM IP, LLC
    Inventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
  • Patent number: 11108268
    Abstract: A system and method for data collection and aggregation using a distributed network of communications enabled sensors connected to another primary network to achieve a secondary out-of-band monitoring perspective, for example, in power grids. The data collection system includes an aggregation and processing server configured to collect data from a variety of sensors adjacent to the monitored network each sensor includes secondary power such that it can continue data transmission even during power grid outages. The data collection system includes a method for secure real-time data ingest, machine learning enabled analysis, risk assessment, and anomaly detection on a broad geographic scale irrespective of isolated network boundaries.
    Type: Grant
    Filed: July 16, 2019
    Date of Patent: August 31, 2021
    Assignee: Cable Television Laboratories, Inc.
    Inventors: Scott L. Caruso, Jason W. Rupe, Robert F. Cruickshank, III, Dan Stoller, Hunter Albright
  • Patent number: 10621649
    Abstract: A collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Grant
    Filed: August 29, 2019
    Date of Patent: April 14, 2020
    Assignee: REALM IP
    Inventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
  • Publication number: 20200104300
    Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Application
    Filed: December 3, 2019
    Publication date: April 2, 2020
    Applicant: REALM IP, LLC
    Inventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
  • Publication number: 20200074525
    Abstract: A collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Application
    Filed: August 29, 2019
    Publication date: March 5, 2020
    Applicant: REALM IP, LLC
    Inventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
  • Publication number: 20200021134
    Abstract: A system and method for data collection and aggregation using a distributed network of communications enabled sensors connected to another primary network to achieve a secondary out-of-band monitoring perspective, for example, in power grids. The data collection system includes an aggregation and processing server configured to collect data from a variety of sensors adjacent to the monitored network each sensor includes secondary power such that it can continue data transmission even during power grid outages. The data collection system includes a method for secure real-time data ingest, machine learning enabled analysis, risk assessment, and anomaly detection on a broad geographic scale irrespective of isolated network boundaries.
    Type: Application
    Filed: July 16, 2019
    Publication date: January 16, 2020
    Inventors: SCOTT L. CARUSO, JASON W. RUPE, ROBERT CRUICKSHANK, DAN STOLLER, HUNTER ALBRIGHT