Patents by Inventor Jacy Myles Legault

Jacy Myles Legault 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: 20240028840
    Abstract: A supervised learning processing (SLP) system and method provide cooperative operation of a network of supervised learning processors to concurrently distribute supervised learning processor training, generate predictions, provide prediction driven responses to input objects, and provide operational sequencing to concurrently control and distribute supervised learning processor training and provide predictive responses to input data. The SLP system can dynamically sequence SLP subsystem operations to improve resource utilization, training quality, and/or processing speed. A system monitor-controller can dynamically determine if process environmental data indicates initiation of dynamic subsystem processing sequencing. Concurrently training SLP's provides accurate predictions of input objects and responses thereto and enhances the network by providing high quality value predictions and responses and avoiding potential training and operational delays.
    Type: Application
    Filed: August 11, 2023
    Publication date: January 25, 2024
    Applicant: OJO Labs, Inc.
    Inventors: Joshua Howard Levy, Jacy Myles Legault, Kenneth Czechowski
  • Patent number: 11741315
    Abstract: A supervised learning processing (SLP) system and method provide cooperative operation of a network of supervised learning processors to concurrently distribute supervised learning processor training, generate predictions, provide prediction driven responses to input objects, and provide operational sequencing to concurrently control and distribute supervised learning processor training and provide predictive responses to input data. The SLP system can dynamically sequence SLP subsystem operations to improve resource utilization, training quality, and/or processing speed. A system monitor-controller can dynamically determine if process environmental data indicates initiation of dynamic subsystem processing sequencing. Concurrently training SLP's provides accurate predictions of input objects and responses thereto and enhances the network by providing high quality value predictions and responses and avoiding potential training and operational delays.
    Type: Grant
    Filed: July 6, 2022
    Date of Patent: August 29, 2023
    Assignee: OJO Labs, Inc.
    Inventors: Joshua Howard Levy, Jacy Myles Legault, Kenneth Czechowski
  • Publication number: 20220414347
    Abstract: A supervised learning processing (SLP) system and method provide cooperative operation of a network of supervised learning processors to concurrently distribute supervised learning processor training, generate predictions, provide prediction driven responses to input objects, and provide operational sequencing to concurrently control and distribute supervised learning processor training and provide predictive responses to input data. The SLP system can dynamically sequence SLP subsystem operations to improve resource utilization, training quality, and/or processing speed. A system monitor-controller can dynamically determine if process environmental data indicates initiation of dynamic subsystem processing sequencing. Concurrently training SLP's provides accurate predictions of input objects and responses thereto and enhances the network by providing high quality value predictions and responses and avoiding potential training and operational delays.
    Type: Application
    Filed: July 6, 2022
    Publication date: December 29, 2022
    Applicant: OJO Labs, Inc.
    Inventors: Joshua Howard Levy, Jacy Myles Legault, Kenneth Czechowski
  • Patent number: 11144827
    Abstract: A supervised learning processing (SLP) system and non-transitory, computer program product provides cooperative operation of a network of supervised learning processors to concurrently distribute supervised learning processor training, generate predictions, and provide prediction driven responses to input objects, such as NL statements. The SLP system includes SLP stages that are distributed across multiple SLP subsystems. Concurrently training SLP's provides accurate predictions of input objects and responses thereto, the SLP system and non-transitory, computer program product enhance the network by providing high quality value predictions and responses and avoiding potential training and operational delays. The SLP system can enhance the network of SLP subsystems by providing flexibility to incorporate multiple SLP models into the network and train at least a proper subset of the SLP models while concurrently using the SLP system and non-transitory, computer program product in commercial operation.
    Type: Grant
    Filed: June 5, 2018
    Date of Patent: October 12, 2021
    Assignee: OJO Labs, Inc.
    Inventors: Joshua Howard Levy, Jacy Myles Legault, David Robert Rubin, John Kenneth Berkowitz, David Ross Pratt
  • Publication number: 20210117434
    Abstract: A machine learning of insight communication selection in response to a triggering event in which event data specific to a user is provided to a machine to flexibly and proactively engage with the user through a device, such as any electronic device connected to a data network. In at least one embodiment, an insight selection engine improves insight communication selection to the triggering event by initially filtering a library of insight templates to identify candidate templates that best respond to the event data. In at least one embodiment, the insight selection engine includes an insight ranking module that ranks the identified candidate insight templates to provide an insight communication to the device two proactively engage the user with the system. The insight ranking module learns by receiving feedback, such as a linked recipient action result signal.
    Type: Application
    Filed: December 27, 2020
    Publication date: April 22, 2021
    Applicant: OJO Labs, Inc.
    Inventors: Reed Coke, Kent Czechowski, Jacy Myles Legault, Joshua Howard Levy
  • Patent number: 10013654
    Abstract: A supervised learning processing (SLP) system and non-transitory, computer program product provides cooperative operation of a network of supervised learning processors to concurrently distribute supervised learning processor training, generate predictions, and provide prediction driven responses to input objects, such as NL statements. The SLP system includes SLP stages that are distributed across multiple SLP subsystems. Concurrently training SLP's provides accurate predictions of input objects and responses thereto, the SLP system and non-transitory, computer program product enhance the network by providing high quality value predictions and responses and avoiding potential training and operational delays. The SLP system can enhance the network of SLP subsystems by providing flexibility to incorporate multiple SLP models into the network and train at least a proper subset of the SLP models while concurrently using the SLP system and non-transitory, computer program product in commercial operation.
    Type: Grant
    Filed: November 29, 2017
    Date of Patent: July 3, 2018
    Assignee: OJO Labs, Inc.
    Inventors: Joshua Howard Levy, Jacy Myles Legault, David Robert Rubin, John Kenneth Berkowitz, David Ross Pratt