Patents by Inventor Ronald Marianetti, II

Ronald Marianetti, II 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: 10275720
    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: October 9, 2015
    Date of Patent: April 30, 2019
    Assignee: NUMENTA, INC.
    Inventors: Jeffrey C. Hawkins, Ronald Marianetti, II, Anosh Raj, Subutai Ahmad
  • Publication number: 20180300458
    Abstract: A sensing device monitors and tracks food intake events and details. A processor, appropriately programmed, controls aspects of the sensing device to capture data, store data, analyze data and provide suitable feedback related to food intake. More generally, the methods might include detecting, identifying, analyzing, quantifying, tracking, processing and/or influencing, related to the intake of food, eating habits, eating patterns, and/or triggers for food intake events, eating habits, or eating patterns. Feedback might be targeted for influencing the intake of food, eating habits, or eating patterns, and/or triggers for those. The sensing device can also be used to track and provide feedback beyond food-related behaviors and more generally track behavior events, detect behavior event triggers and behavior event patterns and provide suitable feedback.
    Type: Application
    Filed: February 27, 2017
    Publication date: October 18, 2018
    Inventors: Katelijn Vleugels, Ronald Marianetti II
  • Patent number: 10102342
    Abstract: A sensing device monitors and tracks food intake events and details. A processor, appropriately programmed, controls aspects of the sensing device to capture data, store data, analyze data and provide suitable feedback related to food intake. More generally, the methods might include detecting, identifying, analyzing, quantifying, tracking, processing and/or influencing, related to the intake of food, eating habits, eating patterns, and/or triggers for food intake events, eating habits, or eating patterns. Feedback might be targeted for influencing the intake of food, eating habits, or eating patterns, and/or triggers for those. The sensing device can also be used to track and provide feedback beyond food-related behaviors and more generally track behavior events, detect behavior event triggers and behavior event patterns and provide suitable feedback.
    Type: Grant
    Filed: February 27, 2017
    Date of Patent: October 16, 2018
    Assignee: Klue, Inc.
    Inventors: Katelijn Vleugels, Ronald Marianetti, II
  • Publication number: 20170220772
    Abstract: A sensing device monitors and tracks food intake events and details. A processor, appropriately programmed, controls aspects of the sensing device to capture data, store data, analyze data and provide suitable feedback related to food intake. More generally, the methods might include detecting, identifying, analyzing, quantifying, tracking, processing and/or influencing, related to the intake of food, eating habits, eating patterns, and/or triggers for food intake events, eating habits, or eating patterns. Feedback might be targeted for influencing the intake of food, eating habits, or eating patterns, and/or triggers for those. The sensing device can also be used to track and provide feedback beyond food-related behaviors and more generally track behavior events, detect behavior event triggers and behavior event patterns and provide suitable feedback.
    Type: Application
    Filed: January 30, 2017
    Publication date: August 3, 2017
    Inventors: Katelijn Vleugels, Ronald Marianetti II
  • 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
  • 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
  • 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: 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: 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: 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: 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
  • Patent number: 8001485
    Abstract: A communications device provides a user with a sensory cue that informs the user of certain characteristics of a subsequent action that includes data communications. By informing the user of the data communication characteristics before the user initiates the data communication action, the invention appropriately sets user expectations regarding the data communication characteristics. For example, one embodiment of the invention is implemented in a portable communications device with a screen. For subsequent actions that include wireless communications, the portable communications device simultaneously displays a wireless link icon sensory cue next to a user interface graphic element. The user interface element is used to initiate the subsequent action. The user interface element can be an operating system object having an embedded link type icon.
    Type: Grant
    Filed: June 19, 2008
    Date of Patent: August 16, 2011
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Joseph K. Sipher, Scott D. Lincke, Ronald Marianetti, II
  • Patent number: 7941389
    Abstract: An hierarchical temporal memory network having at least one node configured to receive at least two variables of different properties. The at least two variables have different data types, different data sizes, or represent different physical or logical properties in the hierarchical temporal memory network. By using the node receiving variables of different properties, the hierarchical temporal memory network can be configured more flexibly and efficiently because a separate node is not needed to receive, process, and output variables of different properties.
    Type: Grant
    Filed: February 28, 2007
    Date of Patent: May 10, 2011
    Assignee: Numenta, Inc.
    Inventors: Ronald Marianetti, II, Frank Astier
  • Patent number: 7904412
    Abstract: A hierarchy of computing modules is configured to learn a cause of input data sensed over space and time, and is further configured to determine a cause of novel sensed input data dependent on the learned cause. Further, the hierarchy has a first level of computing modules and a second level of at least one computing module, where at least one of the computing modules in the first level operates on a first server, and where the at least one computing module in the second level operates on a second server. The hierarchy also includes a message manager module configured to relay information between the first server and the second server.
    Type: Grant
    Filed: January 11, 2007
    Date of Patent: March 8, 2011
    Assignee: Numenta, Inc.
    Inventors: William Saphir, Ronald Marianetti, II, Jeffrey Hawkins