Patents by Inventor Christopher Remmert Laan

Christopher Remmert Laan 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: 11551057
    Abstract: A method for generating data explanations in a recursive cortical network includes receiving a set of evidence data at child feature nodes of a first layer of the recursive cortical network, setting a transformation configuration that directs messaging of evidence data and transformed data between layers of the network, performing a series of transformations on the evidence data according to the transformation configuration, the series including at least one forward transformation and at least one reverse transformation, and outputting the transformed evidence data.
    Type: Grant
    Filed: March 11, 2019
    Date of Patent: January 10, 2023
    Assignee: Intrinsic Innovation LLC
    Inventors: Dileep George, Kenneth Alan Kansky, Christopher Remmert Laan, Wolfang Lehrach, Bhaskara Mannar Marthi, David Scott Phoenix, Eric Purdy
  • Publication number: 20190205732
    Abstract: A method for generating data explanations in a recursive cortical network includes receiving a set of evidence data at child feature nodes of a first layer of the recursive cortical network, setting a transformation configuration that directs messaging of evidence data and transformed data between layers of the network, performing a series of transformations on the evidence data according to the transformation configuration, the series including at least one forward transformation and at least one reverse transformation, and outputting the transformed evidence data.
    Type: Application
    Filed: March 11, 2019
    Publication date: July 4, 2019
    Inventors: Dileep George, Kenneth Alan Kansky, Christopher Remmert Laan, Wolfang Lehrach, Bhaskara Mannar Marthi, David Scott Phoenix, Eric Purdy
  • Patent number: 10275705
    Abstract: A method for generating data explanations in a recursive cortical network includes receiving a set of evidence data at child feature nodes of a first layer of the recursive cortical network, setting a transformation configuration that directs messaging of evidence data and transformed data between layers of the network, performing a series of transformations on the evidence data according to the transformation configuration, the series including at least one forward transformation and at least one reverse transformation, and outputting the transformed evidence data.
    Type: Grant
    Filed: August 10, 2015
    Date of Patent: April 30, 2019
    Assignee: Vicarious FPC, Inc.
    Inventors: Dileep George, Kenneth Alan Kansky, Christopher Remmert Laan, Wolfang Lehrach, Bhaskara Mannar Marthi, David Scott Phoenix, Eric Purdy
  • Publication number: 20160292567
    Abstract: A method for generating data explanations in a recursive cortical network includes receiving a set of evidence data at child feature nodes of a first layer of the recursive cortical network, setting a transformation configuration that directs messaging of evidence data and transformed data between layers of the network, performing a series of transformations on the evidence data according to the transformation configuration, the series including at least one forward transformation and at least one reverse transformation, and outputting the transformed evidence data.
    Type: Application
    Filed: August 10, 2015
    Publication date: October 6, 2016
    Inventors: Dileep George, Kenneth Alan Kansky, Christopher Remmert Laan, Wolfang Lehrach, Bhaskara Mannar Marthi, David Scott Phoenix, Eric Purdy