Patents by Inventor Carl Matthew Dukatz

Carl Matthew Dukatz 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: 20200175413
    Abstract: Methods, systems, and apparatus for improving exchange systems. In one aspect, a method includes receiving data representing an exchange problem; determining, from the received data, an integer programming formulation of the exchange problem; mapping the integer programming formulation of the exchange problem to a quadratic unconstrained binary optimization (QUBO) formulation of the exchange problem; obtaining data representing a solution to the exchange problem from a quantum computing resource; and initiating an action based on the obtained data representing a solution to the exchange problem.
    Type: Application
    Filed: December 19, 2019
    Publication date: June 4, 2020
    Inventors: Kung-Chuan Hsu, Marc Carrel-Billiard, Max Howard, Carl Matthew Dukatz, Kirby James Linvill, Shreyas Ramesh
  • Patent number: 10592816
    Abstract: Methods, systems, and apparatus for improving exchange systems. In one aspect, a method includes receiving data representing an exchange problem; determining, from the received data, an integer programming formulation of the exchange problem; mapping the integer programming formulation of the exchange problem to a quadratic unconstrained binary optimization (QUBO) formulation of the exchange problem; obtaining data representing a solution to the exchange problem from a quantum computing resource; and initiating an action based on the obtained data representing a solution to the exchange problem.
    Type: Grant
    Filed: April 30, 2019
    Date of Patent: March 17, 2020
    Assignee: Accenture Global Solutions Limited
    Inventors: Kung-Chuan Hsu, Marc Carrel-Billiard, Max Howard, Carl Matthew Dukatz, Kirby James Linvill, Shreyas Ramesh
  • Publication number: 20190325338
    Abstract: Methods and systems for a quantum computing approach to solving challenging, e.g., NP-complete, problems in transportation. One of the methods includes (a) ingesting transportation-related data into a graph structure, the transportation-related data being associated with a transportation system; (b) identifying a transportation metric associated with the transportation system; (c) identifying at least one attribute associated with the transportation-related data, where the transportation metric is based at least in part on the attribute; (d) using a quantum computer to derive an operational parameter for the attribute that improves the transportation metric; and (e) applying the operational parameter to the operation of the transportation system.
    Type: Application
    Filed: July 2, 2019
    Publication date: October 24, 2019
    Applicant: Accenture Global Solutions Limited
    Inventors: Carl Matthew Dukatz, Sonali Parthasarathy, Srinivas Yelisetty, Lascelles Forrester
  • Patent number: 10387791
    Abstract: Methods and systems for a quantum computing approach to solving challenging, e.g., NP-complete, problems in transportation. One of the methods includes (a) ingesting transportation-related data into a graph structure, the transportation-related data being associated with a transportation system; (b) identifying a transportation metric associated with the transportation system; (c) identifying at least one attribute associated with the transportation-related data, where the transportation metric is based at least in part on the attribute; (d) using a quantum computer to derive an operational parameter for the attribute that improves the transportation metric; and (e) applying the operational parameter to the operation of the transportation system.
    Type: Grant
    Filed: March 22, 2017
    Date of Patent: August 20, 2019
    Assignee: Accenture Global Solutions Limited
    Inventors: Carl Matthew Dukatz, Sonali Parthasarathy, Srinivas Yelisetty, Lascelles Forrester
  • Publication number: 20190205790
    Abstract: Methods, systems, and apparatus for training a machine learning model to route received computational tasks in a system including at least one quantum computing resource. In one aspect, a method includes obtaining a first set of data, the first set of data comprising data representing multiple computational tasks previously performed by the system; obtaining input data for the multiple computational tasks previously performed by the system, comprising data representing a type of computing resource the task was routed to; obtaining a second set of data, the second set of data comprising data representing properties associated with using the one or more quantum computing resources to solve the multiple computational tasks; and training the machine learning model to route received data representing a computational task to be performed using the (i) first set of data, (ii) input data, and (iii) second set of data.
    Type: Application
    Filed: March 11, 2019
    Publication date: July 4, 2019
    Inventors: Carl Matthew Dukatz, Daniel Garrison, Lascelles Forrester, Corey Hollenbeck
  • Publication number: 20190163618
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating multiple distinct test plans using a computing system. The system merges the each of the test plans to produce a first test plan and obtains performance data about automated execution of the first test plan by a robotics system. The system generates learned inferences for determining predictions about execution of the first test plan based on analysis of the performance data and adjusts the first test plan based on the learned inferences. The system generates a second test plan for execution by the computing system based on adjustments to the first test plan and performs the second test plan to test multiple devices using the robotics system.
    Type: Application
    Filed: November 26, 2018
    Publication date: May 30, 2019
    Inventors: Nicholas Akiona, Teresa Sheausan Tung, Carl Matthew Dukatz
  • Patent number: 10277473
    Abstract: Implementations include deploying portions of a model used in a cognitive computing process for execution on respective devices in a distributed system, and include processing a device list to provide a benchmark list that includes an inventory of devices across systems that provide data for execution of the model used in the cognitive computing process, each device being a candidate for executing at least a portion of the model, the benchmark list including the devices, and, for each device, accuracies of the device with respect to the at least a portion of the model, providing a deployment plan based on the device and benchmark lists, the deployment plan specifying tasks to be executed by each device, at least two devices included in respective systems, at least one device providing data that is to be processed based on the at least a portion of the model, and executing the deployment plan.
    Type: Grant
    Filed: May 23, 2016
    Date of Patent: April 30, 2019
    Assignee: Accenture Global Solutions Limited
    Inventor: Carl Matthew Dukatz
  • Patent number: 10275721
    Abstract: Methods, systems, and apparatus for training a machine learning model to route received computational tasks in a system including at least one quantum computing resource. In one aspect, a method includes obtaining a first set of data, the first set of data comprising data representing multiple computational tasks previously performed by the system; obtaining input data for the multiple computational tasks previously performed by the system, comprising data representing a type of computing resource the task was routed to; obtaining a second set of data, the second set of data comprising data representing properties associated with using the one or more quantum computing resources to solve the multiple computational tasks; and training the machine learning model to route received data representing a computational task to be performed using the (i) first set of data, (ii) input data, and (iii) second set of data.
    Type: Grant
    Filed: April 19, 2017
    Date of Patent: April 30, 2019
    Assignee: Accenture Global Solutions Limited
    Inventors: Carl Matthew Dukatz, Daniel Garrison, Lascelles Forrester, Corey Hollenbeck
  • Patent number: 10154080
    Abstract: Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for enhancing digital content provided from devices, and actions of providing, by a sensor of a device, primary digital content, providing, by the device, secondary digital content, the secondary digital content indicating a context, within which the primary digital content was generated, generating, by the device, a data package including the primary digital content and the secondary digital content, and transmitting, by the device, the data package to a back-end system over a network.
    Type: Grant
    Filed: May 23, 2016
    Date of Patent: December 11, 2018
    Assignee: Accenture Global Solutions Limited
    Inventor: Carl Matthew Dukatz
  • Publication number: 20180319014
    Abstract: Implementations directed to providing a computer-implemented system for performing an action with a robot comprising receiving command information indicating a command related to performance of an action with a robot, identifying state information for a plurality of active routines that are actively running for the robot, the state information indicating a state for each of the active routines, determining contextual information for the command based on the accessed state information for the plurality of active routines, selecting one of the active routines as a handling routine to service the command based on the contextual information, determining an output module of the robot to perform the action based on the state of the handling routine and the contextual information, and executing one or more instructions to perform the action with the output module.
    Type: Application
    Filed: April 11, 2018
    Publication date: November 8, 2018
    Inventors: Carl Matthew Dukatz, Nicholas Akiona
  • Publication number: 20180308000
    Abstract: Methods, systems, and apparatus for training a machine learning model to route received computational tasks in a system including at least one quantum computing resource. In one aspect, a method includes obtaining a first set of data, the first set of data comprising data representing multiple computational tasks previously performed by the system; obtaining input data for the multiple computational tasks previously performed by the system, comprising data representing a type of computing resource the task was routed to; obtaining a second set of data, the second set of data comprising data representing properties associated with using the one or more quantum computing resources to solve the multiple computational tasks; and training the machine learning model to route received data representing a computational task to be performed using the (i) first set of data, (ii) input data, and (iii) second set of data.
    Type: Application
    Filed: April 19, 2017
    Publication date: October 25, 2018
    Inventors: Carl Matthew Dukatz, Daniel Garrison, Lascelles Forrester, Corey Hollenbeck
  • Publication number: 20180276994
    Abstract: Methods and systems for a quantum computing approach to solving challenging, e.g., NP-complete, problems in transportation. One of the methods includes (a) ingesting transportation-related data into a graph structure, the transportation-related data being associated with a transportation system; (b) identifying a transportation metric associated with the transportation system; (c) identifying at least one attribute associated with the transportation-related data, where the transportation metric is based at least in part on the attribute; (d) using a quantum computer to derive an operational parameter for the attribute that improves the transportation metric; and (e) applying the operational parameter to the operation of the transportation system.
    Type: Application
    Filed: March 22, 2017
    Publication date: September 27, 2018
    Inventors: Carl Matthew Dukatz, Sonali Parthasarathy, Srinivas Yelisetty, Lascelles Forrester
  • Publication number: 20170339021
    Abstract: Implementations include deploying portions of a model used in a cognitive computing process for execution on respective devices in a distributed system, and include processing a device list to provide a benchmark list that includes an inventory of devices across systems that provide data for execution of the model used in the cognitive computing process, each device being a candidate for executing at least a portion of the model, the benchmark list including the devices, and, for each device, accuracies of the device with respect to the at least a portion of the model, providing a deployment plan based on the device and benchmark lists, the deployment plan specifying tasks to be executed by each device, at least two devices included in respective systems, at least one device providing data that is to be processed based on the at least a portion of the model, and executing the deployment plan.
    Type: Application
    Filed: May 23, 2016
    Publication date: November 23, 2017
    Inventor: Carl Matthew Dukatz
  • Publication number: 20170339213
    Abstract: Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for enhancing digital content provided from devices, and actions of providing, by a sensor of a device, primary digital content, providing, by the device, secondary digital content, the secondary digital content indicating a context, within which the primary digital content was generated, generating, by the device, a data package including the primary digital content and the secondary digital content, and transmitting, by the device, the data package to a back-end system over a network.
    Type: Application
    Filed: May 23, 2016
    Publication date: November 23, 2017
    Inventor: Carl Matthew Dukatz
  • Publication number: 20170091389
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an open healthcare data platform are disclosed. In one aspect, a method includes receiving a request for access to healthcare related data that is associated with one or more healthcare related parameters. The method further includes determining that a user's personal healthcare related data that is shared with a healthcare provider that provides services to the user corresponds to the one or more healthcare related parameters. The method further includes providing a request for access to the user's personal healthcare related data. The method further includes receiving data indicating an acceptance of the request for access to the user's personal healthcare related data and data indicating a level of abstraction. The method further includes processing the user's personal healthcare related data that is shared with the healthcare provider according to the level of abstraction.
    Type: Application
    Filed: September 30, 2015
    Publication date: March 30, 2017
    Inventor: Carl Matthew Dukatz