Patents by Inventor RONALD MARIANETTI

RONALD MARIANETTI 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: 20170180515
    Abstract: A web-based hierarchical temporal memory (HTM) system in which one or more client devices communicate with a remote server via a communication network. The remote server includes at least a HTM server for implementing a hierarchical temporal memory (HTM). The client devices generate input data including patterns and sequences, and send the input data to the remote server for processing. The remote server (specifically, the HTM server) performs processing in order to determine the causes of the input data, and sends the results of this processing to the client devices. The client devices need not have processing and/or storage capability for running the HTM but may nevertheless take advantage of the HTM by submitting a request to the HTM server.
    Type: Application
    Filed: March 3, 2017
    Publication date: June 22, 2017
    Inventors: Jeffrey L. Edwards, William C. Saphir, Subutai Ahmad, Dileep George, Frank Astier, Ronald Marianetti
  • Patent number: 9621681
    Abstract: A web-based hierarchical temporal memory (HTM) system in which one or more client devices communicate with a remote server via a communication network. The remote server includes at least a HTM server for implementing a hierarchical temporal memory (HTM). The client devices generate input data including patterns and sequences, and send the input data to the remote server for processing. The remote server (specifically, the HTM server) performs processing in order to determine the causes of the input data, and sends the results of this processing to the client devices. The client devices need not have processing and/or storage capability for running the HTM but may nevertheless take advantage of the HTM by submitting a request to the HTM server.
    Type: Grant
    Filed: March 27, 2014
    Date of Patent: April 11, 2017
    Assignee: Numenta, Inc.
    Inventors: Jeffrey L. Edwards, Wiliam C. Saphir, Subutai Ahmad, Dileep George, Frank Astier, Ronald Marianetti
  • Patent number: 9552551
    Abstract: A spatial and temporal memory system (STMS) processes input data to detect whether spatial patterns and/or temporal sequences of spatial patterns exist within the data, and to make predictions about future data. The data processed by the STMS may be retrieved from, for example, one or more database fields and is encoded into a distributed representation format using a coding scheme. The performance of the STMS in predicting future data is evaluated for the coding scheme used to process the data as performance data. The selection and prioritization of STMS experiments to perform may be based on the performance data for an experiment. The best fields, encodings, and time aggregations for generating predictions can be determined by an automated search and evaluation of multiple STMS systems.
    Type: Grant
    Filed: June 27, 2014
    Date of Patent: January 24, 2017
    Assignee: Numenta, Inc.
    Inventors: Ronald Marianetti, II, Anosh Raj, Subutai Ahmad
  • Publication number: 20160086098
    Abstract: A processing node in a temporal memory system includes a spatial pooler and a sequence processor. The spatial pooler generates a spatial pooler signal representing similarity between received spatial patterns in an input signal and stored co-occurrence patterns. The spatial pooler signal is represented by a combination of elements that are active or inactive. Each co-occurrence pattern is mapped to different subsets of elements of an input signal. The spatial pooler signal is fed to a sequence processor receiving and processed to learn, recognize and predict temporal sequences in the input signal. The sequence processor includes one or more columns, each column including one or more cells. A subset of columns may be selected by the spatial pooler signal, causing one or more cells in these columns to activate.
    Type: Application
    Filed: October 9, 2015
    Publication date: March 24, 2016
    Inventors: Jeffrey C. Hawkins, Ronald Marianetti, II, Anosh Raj, Subutai Ahmad
  • Patent number: 9189745
    Abstract: A processing node in a temporal memory system includes a spatial pooler and a sequence processor. The spatial pooler generates a spatial pooler signal representing similarity between received spatial patterns in an input signal and stored co-occurrence patterns. The spatial pooler signal is represented by a combination of elements that are active or inactive. Each co-occurrence pattern is mapped to different subsets of elements of an input signal. The spatial pooler signal is fed to a sequence processor receiving and processed to learn, recognize and predict temporal sequences in the input signal. The sequence processor includes one or more columns, each column including one or more cells. A subset of columns may be selected by the spatial pooler signal, causing one or more cells in these columns to activate.
    Type: Grant
    Filed: March 11, 2011
    Date of Patent: November 17, 2015
    Assignee: Numenta, Inc.
    Inventors: Jeffrey C. Hawkins, Ronald Marianetti, II, Anosh Raj, Subutai Ahmad
  • Patent number: 9159021
    Abstract: Embodiments relate to making predictions for values or states to follow multiple time steps after receiving a certain input data in a spatial and temporal memory system. During a training stage, relationships between states of the spatial and temporal memory system at certain times and spatial patterns of the input data detected a plurality of time steps later after the certain time steps are established. Using the established relationships, the spatial and temporal memory system can make predictions multiple time steps into the future based on the input data received at a current time.
    Type: Grant
    Filed: October 23, 2012
    Date of Patent: October 13, 2015
    Assignee: Numenta, Inc.
    Inventors: Jeffrey C. Hawkins, Ronald Marianetti
  • Publication number: 20140310227
    Abstract: A spatial and temporal memory system (STMS) processes input data to detect whether spatial patterns and/or temporal sequences of spatial patterns exist within the data, and to make predictions about future data. The data processed by the STMS may be retrieved from, for example, one or more database fields and is encoded into a distributed representation format using a coding scheme. The performance of the STMS in predicting future data is evaluated for the coding scheme used to process the data as performance data. The selection and prioritization of STMS experiments to perform may be based on the performance data for an experiment. The best fields, encodings, and time aggregations for generating predictions can be determined by an automated search and evaluation of multiple STMS systems.
    Type: Application
    Filed: June 27, 2014
    Publication date: October 16, 2014
    Inventors: Ronald Marianetti, II, Anosh Raj, Subutai Ahmad
  • Publication number: 20140310226
    Abstract: A spatial and temporal memory system (STMS) processes input data to detect whether spatial patterns and/or temporal sequences of spatial patterns exist within the data, and to make predictions about future data. The data processed by the STMS may be retrieved from, for example, one or more database fields and is encoded into a distributed representation format using a coding scheme. The performance of the STMS in predicting future data is evaluated for the coding scheme used to process the data as performance data. The selection and prioritization of STMS experiments to perform may be based on the performance data for an experiment. The best fields, encodings, and time aggregations for generating predictions can be determined by an automated search and evaluation of multiple STMS systems.
    Type: Application
    Filed: June 27, 2014
    Publication date: October 16, 2014
    Inventors: Ronald Marianetti, II, Anosh Raj, Subutai Ahmad
  • Patent number: 8825565
    Abstract: A spatial and temporal memory system (STMS) processes input data to detect whether spatial patterns and/or temporal sequences of spatial patterns exist within the data, and to make predictions about future data. The data processed by the STMS may be retrieved from, for example, one or more database fields and is encoded into a distributed representation format using a coding scheme. The performance of the STMS in predicting future data is evaluated for the coding scheme used to process the data as performance data. The selection and prioritization of STMS experiments to perform may be based on the performance data for an experiment. The best fields, encodings, and time aggregations for generating predictions can be determined by an automated search and evaluation of multiple STMS systems.
    Type: Grant
    Filed: August 25, 2011
    Date of Patent: September 2, 2014
    Assignee: Numenta, Inc.
    Inventors: Ronald Marianetti, II, Anosh Raj, Subutai Ahmad
  • Publication number: 20140207842
    Abstract: A web-based hierarchical temporal memory (HTM) system in which one or more client devices communicate with a remote server via a communication network. The remote server includes at least a HTM server for implementing a hierarchical temporal memory (HTM). The client devices generate input data including patterns and sequences, and send the input data to the remote server for processing. The remote server (specifically, the HTM server) performs processing in order to determine the causes of the input data, and sends the results of this processing to the client devices. The client devices need not have processing and/or storage capability for running the HTM but may nevertheless take advantage of the HTM by submitting a request to the HTM server.
    Type: Application
    Filed: March 27, 2014
    Publication date: July 24, 2014
    Applicant: Numenta, Inc.
    Inventors: Jeffrey L. Edwards, Wiliam C. Saphir, Subutai Ahmad, Dileep George, Frank Astier, Ronald Marianetti
  • Patent number: 8732098
    Abstract: A web-based hierarchical temporal memory (HTM) system in which one or more client devices communicate with a remote server via a communication network. The remote server includes at least a HTM server for implementing a hierarchical temporal memory (HTM). The client devices generate input data including patterns and sequences, and send the input data to the remote server for processing. The remote server (specifically, the HTM server) performs processing in order to determine the causes of the input data, and sends the results of this processing to the client devices. The client devices need not have processing and/or storage capability for running the HTM but may nevertheless take advantage of the HTM by submitting a request to the HTM server.
    Type: Grant
    Filed: March 8, 2012
    Date of Patent: May 20, 2014
    Assignee: Numenta, Inc.
    Inventors: Subutai Ahmad, Dileep George, Jeffrey L. Edwards, William C. Saphir, Frank Astier, Ronald Marianetti
  • Publication number: 20140114896
    Abstract: Embodiments relate to making predictions for values or states to follow multiple time steps after receiving a certain input data in a spatial and temporal memory system. During a training stage, relationships between states of the spatial and temporal memory system at certain times and spatial patterns of the input data detected a plurality of time steps later after the certain time steps are established. Using the established relationships, the spatial and temporal memory system can make predictions multiple time steps into the future based on the input data received at a current time.
    Type: Application
    Filed: October 23, 2012
    Publication date: April 24, 2014
    Applicant: NUMENTA, INC.
    Inventors: Jeffrey C. Hawkins, Ronald Marianetti
  • Patent number: 8645291
    Abstract: A spatial and temporal memory system (STMS) processes input data to detect whether spatial patterns and/or temporal sequences of spatial patterns exist within the data, and to make predictions about future data. The data processed by the STMS may be retrieved from, for example, one or more database fields and is encoded into a distributed representation format using a coding scheme. The performance of the STMS in predicting future data is evaluated for the coding scheme used to process the data as performance data. The selection and prioritization of STMS experiments to perform may be based on the performance data for an experiment. The best fields, encodings, and time aggregations for generating predictions can be determined by an automated search and evaluation of multiple STMS systems.
    Type: Grant
    Filed: August 25, 2011
    Date of Patent: February 4, 2014
    Assignee: Numenta, Inc.
    Inventors: Jeffrey C. Hawkins, Ronald Marianetti, II, Anosh Raj
  • Patent number: 8504570
    Abstract: A spatial and temporal memory system (STMS) processes input data to detect whether spatial patterns and/or temporal sequences of spatial patterns exist within the data, and to make predictions about future data. The data processed by the STMS may be retrieved from, for example, one or more database fields and is encoded into a distributed representation format using a coding scheme. The performance of the STMS in predicting future data is evaluated for the coding scheme used to process the data as performance data. The selection and prioritization of STMS experiments to perform may be based on the performance data for an experiment. The best fields, encodings, and time aggregations for generating predictions can be determined by an automated search and evaluation of multiple STMS systems.
    Type: Grant
    Filed: August 25, 2011
    Date of Patent: August 6, 2013
    Assignee: Numenta, Inc.
    Inventors: Jeffrey C. Hawkins, Ronald Marianetti, II, Anosh Raj, Subutai Ahmad
  • Patent number: 8447711
    Abstract: A hierarchical temporal memory (HTM) based system may be provided as a software platform. The software platform includes: a runtime engine arranged to run an HTM network; a first interface accessible by a set of tools to configure, design, modify, train, debug, and/or deploy the HTM network; and a second interface accessible to extend a functionality of the runtime engine.
    Type: Grant
    Filed: April 14, 2008
    Date of Patent: May 21, 2013
    Assignee: Numenta, Inc.
    Inventors: Jeffrey C. Hawkins, Subutai Ahmad, Dileep George, Frank E. Astier, Ronald Marianetti, II
  • Publication number: 20130054495
    Abstract: A spatial and temporal memory system (STMS) processes input data to detect whether spatial patterns and/or temporal sequences of spatial patterns exist within the data, and to make predictions about future data. The data processed by the STMS may be retrieved from, for example, one or more database fields and is encoded into a distributed representation format using a coding scheme. The performance of the STMS in predicting future data is evaluated for the coding scheme used to process the data as performance data. The selection and prioritization of STMS experiments to perform may be based on the performance data for an experiment. The best fields, encodings, and time aggregations for generating predictions can be determined by an automated search and evaluation of multiple STMS systems.
    Type: Application
    Filed: August 25, 2011
    Publication date: February 28, 2013
    Applicant: NUMENTA, INC.
    Inventors: Jeffrey C. Hawkins, Ronald Marianetti, II, Anosh Raj
  • Publication number: 20130054496
    Abstract: A spatial and temporal memory system (STMS) processes input data to detect whether spatial patterns and/or temporal sequences of spatial patterns exist within the data, and to make predictions about future data. The data processed by the STMS may be retrieved from, for example, one or more database fields and is encoded into a distributed representation format using a coding scheme. The performance of the STMS in predicting future data is evaluated for the coding scheme used to process the data as performance data. The selection and prioritization of STMS experiments to perform may be based on the performance data for an experiment. The best fields, encodings, and time aggregations for generating predictions can be determined by an automated search and evaluation of multiple STMS systems.
    Type: Application
    Filed: August 25, 2011
    Publication date: February 28, 2013
    Applicant: NUMENTA, INC.
    Inventors: Ronald Marianetti, II, Anosh Raj, Subutai Ahmad
  • Publication number: 20130054552
    Abstract: A spatial and temporal memory system (STMS) processes input data to detect whether spatial patterns and/or temporal sequences of spatial patterns exist within the data, and to make predictions about future data. The data processed by the STMS may be retrieved from, for example, one or more database fields and is encoded into a distributed representation format using a coding scheme. The performance of the STMS in predicting future data is evaluated for the coding scheme used to process the data as performance data. The selection and prioritization of STMS experiments to perform may be based on the performance data for an experiment. The best fields, encodings, and time aggregations for generating predictions can be determined by an automated search and evaluation of multiple STMS systems.
    Type: Application
    Filed: August 25, 2011
    Publication date: February 28, 2013
    Applicant: NUMENTA, INC.
    Inventors: Jeffrey C. Hawkins, Ronald Marianetti, II, Anosh Raj, Subutai Ahmad
  • Publication number: 20120166364
    Abstract: A web-based hierarchical temporal memory (HTM) system in which one or more client devices communicate with a remote server via a communication network. The remote server includes at least a HTM server for implementing a hierarchical temporal memory (HTM). The client devices generate input data including patterns and sequences, and send the input data to the remote server for processing. The remote server (specifically, the HTM server) performs processing in order to determine the causes of the input data, and sends the results of this processing to the client devices. The client devices need not have processing and/or storage capability for running the HTM but may nevertheless take advantage of the HTM by submitting a request to the HTM server.
    Type: Application
    Filed: March 8, 2012
    Publication date: June 28, 2012
    Applicant: NUMENTA, INC.
    Inventors: Subutai Ahmad, Dileep George, Jeffrey L. Edwards, William C. Saphir, Frank Astier, Ronald Marianetti
  • Publication number: 20110225108
    Abstract: A processing node in a temporal memory system includes a spatial pooler and a sequence processor. The spatial pooler generates a spatial pooler signal representing similarity between received spatial patterns in an input signal and stored co-occurrence patterns. The spatial pooler signal is represented by a combination of elements that are active or inactive. Each co-occurrence pattern is mapped to different subsets of elements of an input signal. The spatial pooler signal is fed to a sequence processor receiving and processed to learn, recognize and predict temporal sequences in the input signal. The sequence processor includes one or more columns, each column including one or more cells. A subset of columns may be selected by the spatial pooler signal, causing one or more cells in these columns to activate.
    Type: Application
    Filed: March 11, 2011
    Publication date: September 15, 2011
    Applicant: NUMENTA, INC.
    Inventors: Jeffrey C. Hawkins, Ronald Marianetti, II, Anosh Raj, Subutai Ahmad