Patents by Inventor Miles Gilburne

Miles Gilburne 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: 10999383
    Abstract: A system of computers on a wide area network establishes connections between nodes on the basis of their multidimensional similarity at a particular point in time in a certain setting, such as a social learning network, and sends information of value to those nodes. Dimensions in the definition of similarity include a plurality of attributes in time and community space. Examples of such dimensions and attributes may include a position in a learning community's project cycle, titles of readings and projects, the genre or subject matter under consideration, age, grade, or level of the participants, and language. The network's nodes are represented as a tensor field and are searched efficiently and adaptively through a variety of multidimensional data structures and mechanisms. The system includes a master clock that can transform a participant's time coordinates on the network, such as a social learning network, into Universal Time, and the synchronizer coordinates the position of each participant.
    Type: Grant
    Filed: September 5, 2017
    Date of Patent: May 4, 2021
    Assignee: Cricket Media, Inc.
    Inventors: Linda T. Dozier, Edmund Fish, Miles Gilburne, Nina Zolt
  • Publication number: 20170366633
    Abstract: A system of computers on a wide area network establishes connections between nodes on the basis of their multidimensional similarity at a particular point in time in a certain setting, such as a social learning network, and sends information of value to those nodes. Dimensions in the definition of similarity include a plurality of attributes in time and community space. Examples of such dimensions and attributes may include a position in a learning community's project cycle, titles of readings and projects, the genre or subject matter under consideration, age, grade, or level of the participants, and language. The network's nodes are represented as a tensor field and are searched efficiently and adaptively through a variety of multidimensional data structures and mechanisms. The system includes a master clock that can transform a participant's time coordinates on the network, such as a social learning network, into Universal Time, and the synchronizer coordinates the position of each participant.
    Type: Application
    Filed: September 5, 2017
    Publication date: December 21, 2017
    Inventors: Linda T. Dozier, Edmund Fish, Miles Gilburne, Nina Zolt
  • Publication number: 20170078421
    Abstract: A system of computers on a wide area network establishes connections between nodes on the basis of their multidimensional similarity at a particular point in time in a certain setting, such as a social learning network, and sends information of value to those nodes. Dimensions in the definition of similarity include a plurality of attributes in time and community space. Examples of such dimensions and attributes may include a position in a learning community's project cycle, titles of readings and projects, the genre or subject matter under consideration, age, grade, or level of the participants, and language. The network's nodes are represented as a tensor field and are searched efficiently and adaptively through a variety of multidimensional data structures and mechanisms. The system includes a master clock that can transform a participant's time coordinates on the network, such as a social learning network, into Universal Time, and the synchronizer coordinates the position of each participant.
    Type: Application
    Filed: November 23, 2016
    Publication date: March 16, 2017
    Inventors: Linda T. Dozier, Edmund Fish, Miles Gilburne, Nina Zolt
  • Publication number: 20140095619
    Abstract: A system of computers on a wide area network establishes connections between nodes on the basis of their multidimensional similarity at a particular point in time in a certain setting, such as a social learning network, and sends information of value to those nodes. Dimensions in the definition of similarity include a plurality of attributes in time and community space. Examples of such dimensions and attributes may include a position in a learning community's project cycle, titles of readings and projects, the genre or subject matter under consideration, age, grade, or level of the participants, and language. The network's nodes are represented as a tensor field and are searched efficiently and adaptively through a variety of multidimensional data structures and mechanisms. The system includes a master clock that can transform a participant's time coordinates on the network, such as a social learning network, into Universal Time, and the synchronizer coordinates the position of each participant.
    Type: Application
    Filed: October 10, 2013
    Publication date: April 3, 2014
    Applicant: EPALS, INC.
    Inventors: Linda T. Dozier, Edmund Fish, Miles Gilburne, Nina Zolt