Patents by Inventor Nicholas A. Dronen

Nicholas A. Dronen 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).

  • Resource allocation in distributed processing systems
    Patent number: 10938738
    Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.
    Type: Grant
    Filed: December 23, 2019
    Date of Patent: March 2, 2021
    Assignee: PEARSON EDUCATION, INC.
    Inventors: Nicholas A. Dronen, Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
  • RESOURCE ALLOCATION IN DISTRIBUTED PROCESSING SYSTEMS
    Publication number: 20200136990
    Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.
    Type: Application
    Filed: December 23, 2019
    Publication date: April 30, 2020
    Inventors: Nicholas A. DRONEN, Peter W. FOLTZ, Holly GARNER, Miles T. LORING, Vishal KAPOOR
  • Resource allocation in distributed processing systems
    Patent number: 10594622
    Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.
    Type: Grant
    Filed: December 7, 2018
    Date of Patent: March 17, 2020
    Assignee: PEARSON EDUCATION, INC.
    Inventors: Nicholas A. Dronen, Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
  • Resource allocation in distributed processing systems
    Patent number: 10560397
    Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.
    Type: Grant
    Filed: November 28, 2017
    Date of Patent: February 11, 2020
    Assignee: PEARSON EDUCATION, INC.
    Inventors: Nicholas A. Dronen, Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
  • RESOURCE ALLOCATION IN DISTRIBUTED PROCESSING SYSTEMS
    Publication number: 20190222534
    Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.
    Type: Application
    Filed: December 7, 2018
    Publication date: July 18, 2019
    Inventors: Nicholas A. Dronen, Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
  • Resource allocation in distributed processing systems
    Patent number: 10153984
    Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.
    Type: Grant
    Filed: June 30, 2017
    Date of Patent: December 11, 2018
    Assignee: PEARSON EDUCATION, INC.
    Inventors: Nicholas A. Dronen, Jr., Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
  • Resource allocation in distributed processing systems
    Patent number: 10148589
    Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.
    Type: Grant
    Filed: September 29, 2015
    Date of Patent: December 4, 2018
    Assignee: PEARSON EDUCATION, INC.
    Inventors: Nicholas A. Dronen, Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
  • RESOURCE ALLOCATION IN DISTRIBUTED PROCESSING SYSTEMS
    Publication number: 20180081718
    Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.
    Type: Application
    Filed: November 28, 2017
    Publication date: March 22, 2018
    Inventors: Nicholas A. Dronen, Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
  • RESOURCE ALLOCATION IN DISTRIBUTED PROCESSING SYSTEMS
    Publication number: 20170300360
    Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.
    Type: Application
    Filed: June 30, 2017
    Publication date: October 19, 2017
    Inventors: Nicholas A. Dronen, JR., Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
  • RESOURCE ALLOCATION IN DISTRIBUTED PROCESSING SYSTEMS
    Publication number: 20160094476
    Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.
    Type: Application
    Filed: September 29, 2015
    Publication date: March 31, 2016
    Inventors: Nicholas A. Dronen, Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor