Patents by Inventor Thomas Hallaran

Thomas Hallaran 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: 20250117430
    Abstract: A content generation platform iteratively generates prompts to a generative model to automatically generate rich, detailed content items. The platform receives an instruction, via a user interface, to generate a content item, where the instruction includes a first topic for the content item. The platform performs a search of an information source using at least a portion of the first topic, identifying a first set of additional topics related to the first topic that are output for display by the user interface. A user can select at least one second topic from the first set. The platform generates one or more prompts based on the first topic and the second topic, instructing the generative model to generate the content item based on the first topic and the second topic and to return the generated content item. The content item can be output to the user interface.
    Type: Application
    Filed: October 4, 2024
    Publication date: April 10, 2025
    Inventors: Shaun Modi, Thomas Hallaran, Matthew Stadler, Geoffrey Thorpe, Sameer Gupta
  • Publication number: 20250045988
    Abstract: Disclosed is a system to obtain the data set including multiple variables. The system extracts the multiple variables from the data set. Based on the data set, the system creates an ontology indicating multiple relationships between two or more variables among the multiple variables, where a relationship among multiple relationships indicates a correlation between the two or more variables. The system obtains an intent associated with the user, and a visualization standard, where the visualization standard indicates an attribute associated with the visualization. The system generates a sequence of multiple visualizations to present to the user by ranking the multiple visualizations based on the correlation between the two or more variables, the visualization standard and the intent associated with the user. The system presents the sequence of multiple visualizations based on the ranking.
    Type: Application
    Filed: September 16, 2024
    Publication date: February 6, 2025
    Inventors: Shaun Modi, Thomas Hallaran, Tong Lee, Dylan (Scarlet) Campbell Butman (Dame), Lipsa Panda, Varun Gupta
  • Patent number: 12094038
    Abstract: Disclosed is a system to obtain the data set including multiple variables. The system extracts the multiple variables from the data set. Based on the data set, the system creates an ontology indicating multiple relationships between two or more variables among the multiple variables, where a relationship among multiple relationships indicates a correlation between the two or more variables. The system obtains an intent associated with the user, and a visualization standard, where the visualization standard indicates an attribute associated with the visualization. The system generates a sequence of multiple visualizations to present to the user by ranking the multiple visualizations based on the correlation between the two or more variables, the visualization standard and the intent associated with the user. The system presents the sequence of multiple visualizations based on the ranking.
    Type: Grant
    Filed: July 26, 2022
    Date of Patent: September 17, 2024
    Assignee: Capitol AI, Inc.
    Inventors: Shaun Modi, Thomas Hallaran, Tong Lee, Dylan (Scarlet) Campbell Butman (Dame), Lipsa Panda, Varun Gupta
  • Publication number: 20230222712
    Abstract: Disclosed is a system to obtain the data set including multiple variables. The system extracts the multiple variables from the data set. Based on the data set, the system creates an ontology indicating multiple relationships between two or more variables among the multiple variables, where a relationship among multiple relationships indicates a correlation between the two or more variables. The system obtains an intent associated with the user, and a visualization standard, where the visualization standard indicates an attribute associated with the visualization. The system generates a sequence of multiple visualizations to present to the user by ranking the multiple visualizations based on the correlation between the two or more variables, the visualization standard and the intent associated with the user. The system presents the sequence of multiple visualizations based on the ranking.
    Type: Application
    Filed: July 26, 2022
    Publication date: July 13, 2023
    Inventors: Shaun Modi, Thomas Hallaran, Tong Lee, Dylan (Scarlet) Campbell Butman (Dame), Lipsa Panda, Varun Gupta
  • Patent number: 11436773
    Abstract: Disclosed is a system to obtain the data set including multiple variables. The system extracts the multiple variables from the data set. Based on the data set, the system creates an ontology indicating multiple relationships between two or more variables among the multiple variables, where a relationship among multiple relationships indicates a correlation between the two or more variables. The system obtains an intent associated with the user, and a visualization standard, where the visualization standard indicates an attribute associated with the visualization. The system generates a sequence of multiple visualizations to present to the user by ranking the multiple visualizations based on the correlation between the two or more variables, the visualization standard and the intent associated with the user. The system presents the sequence of multiple visualizations based on the ranking.
    Type: Grant
    Filed: January 13, 2022
    Date of Patent: September 6, 2022
    Assignee: CAPITOL AI, INC.
    Inventors: Shaun Modi, Thomas Hallaran, Tong Lee, Dylan (Scarlet) Campbell Butman (Dame), Lipsa Panda, Varun Gupta
  • Patent number: 11424039
    Abstract: Disclosed is a system to obtain the data set including multiple variables. The system extracts the multiple variables from the data set. Based on the data set, the system creates an ontology indicating multiple relationships between two or more variables among the multiple variables, where a relationship among multiple relationships indicates a correlation between the two or more variables. The system obtains an intent associated with the user, and a visualization standard, where the visualization standard indicates an attribute associated with the visualization. The system generates a sequence of multiple visualizations to present to the user by ranking the multiple visualizations based on the correlation between the two or more variables, the visualization standard and the intent associated with the user. The system presents the sequence of multiple visualizations based on the ranking.
    Type: Grant
    Filed: January 13, 2022
    Date of Patent: August 23, 2022
    Assignee: Capitol AI, Inc.
    Inventors: Shaun Modi, Thomas Hallaran, Tong Lee, Lipsa Panda, Varun Gupta
  • Publication number: 20160089508
    Abstract: A vapor inhalation device (10) comprising: a housing (12) adapted to enable a user to inhale vapor, simulating the effects of smoking, the housing being adapted to receive a cartridge (14) for containing liquids; the cartridge (14) comprising or connected to a first release device (15a) arranged to vaporize and release a first liquid (A) comprising a first substance (a) from a first reservoir (16a) into the housing (12); and to a second release device (15b) arranged to vaporize and release a second liquid (B) from a second reservoir (16b), wherein the housing (12) is adapted to mix the vaporized first (A) and second liquids (B) such that the user can inhale vapor containing the first substance (a) of a particular amount; a communication unit (17) configured to receive and transmit data for controlling the inhalation device (10); a controller (18) configured to communicate with the communication unit (17) and to receive data from the communication unit; and to determine an amount of first substance (a) to
    Type: Application
    Filed: September 25, 2014
    Publication date: March 31, 2016
    Inventors: Caleb Smith, Adel Dahdal, Thomas Hallaran
  • Patent number: D1012120
    Type: Grant
    Filed: February 10, 2022
    Date of Patent: January 23, 2024
    Assignee: Capitol AI, Inc.
    Inventors: Shaun Modi, Thomas Hallaran, Tong Lee, Geoff Thorpe, Margaret Lee, Connor Hansen
  • Patent number: D1012961
    Type: Grant
    Filed: February 10, 2022
    Date of Patent: January 30, 2024
    Assignee: Capitol AI, Inc.
    Inventors: Shaun Modi, Thomas Hallaran, Geoff Thorpe, Margaret Lee, Connor Hansen, Tong Lee
  • Patent number: D1019680
    Type: Grant
    Filed: February 10, 2022
    Date of Patent: March 26, 2024
    Assignee: CAPITOL AI, INC
    Inventors: Shaun Modi, Thomas Hallaran, Geoff Thorpe, Margaret Lee, Tong Lee, Connor Hansen
  • Patent number: D1071951
    Type: Grant
    Filed: January 19, 2022
    Date of Patent: April 22, 2025
    Assignee: Capitol AI, Inc.
    Inventors: Shaun Modi, Thomas Hallaran, Geoff Thorpe, Tong Lee, Margaret Lee, Connor Hansen