Patents Assigned to Aptima, Inc
  • Publication number: 20190108459
    Abstract: A processor based system and method of generating new pattern knowledge of a sensory input is disclosed. The system comprises a memory to store abstract patterns as pattern knowledge, a sensor configured to receive a concrete pattern representing a sensory input, an adaption module configured to horizontally blended abstract patterns to create a horizontally blended abstract pattern as the new pattern knowledge if a degree of blending the abstract and concrete patterns exceeds a threshold. In some embodiments, the horizontally blended abstract pattern comprises a selective projection of parameters of two abstract patterns. In some embodiments, the systems and methods further comprise vertically blending the abstract pattern and the concrete pattern by selectively projecting parameters of an abstract pattern with the parameters of the concrete pattern.
    Type: Application
    Filed: November 20, 2018
    Publication date: April 11, 2019
    Applicant: Aptima, Inc.
    Inventors: E. Webb Stacy, Alexandra Geyer
  • Patent number: 10179287
    Abstract: Processor based systems and methods of defining a scenario event comprising the steps of identifying an event having an event attribute and generalizing the event attribute to define a generalized event whereby the generalized event is the scenario event. In some embodiments, the steps further comprise identifying a first and second event, generalizing a first and second event attribute to define a first and second generalized event and connecting the first and second generalized event in a continuous envelope to create a scenario envelope. Processor based systems and methods of monitoring an activity comprising the steps of monitoring an activity having an activity attribute and comparing the activity attribute to an event envelope to determine a status of the activity relative to the event envelope.
    Type: Grant
    Filed: May 9, 2012
    Date of Patent: January 15, 2019
    Assignee: APTIMA, INC.
    Inventors: E. Webb Stacy, Kevin Sullivan, Paul Picciano, Can Keskin
  • Patent number: 10140582
    Abstract: A processor based system and method of generating cognitive pattern knowledge of a sensory input is disclosed. The method comprising the steps of receiving sensory input to create at least one concrete pattern, receiving at least one abstract pattern comprising abstract segments and vertically blending the concrete pattern with the abstract pattern by selectively projecting abstract segments to create a vertically blended pattern whereby the vertically blended pattern represents cognitive pattern knowledge of the sensory input. In some embodiments, the systems and methods further comprise creating a measure of a degree of vertical blending and when the measure of the degree of vertical blending exceeds a threshold, horizontally blending at least two abstract patterns to create a horizontally blended abstract pattern.
    Type: Grant
    Filed: June 14, 2015
    Date of Patent: November 27, 2018
    Assignee: APTIMA, INC.
    Inventors: E. Webb Stacy, Alexandra Geyer
  • Publication number: 20180225361
    Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.
    Type: Application
    Filed: March 8, 2017
    Publication date: August 9, 2018
    Applicant: Aptima, Inc.
    Inventors: Bruce Skarin, Andrew Duchon, Richard Alexis DeJordy, Paul David Allopenna
  • Publication number: 20180212834
    Abstract: Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.
    Type: Application
    Filed: February 20, 2018
    Publication date: July 26, 2018
    Applicant: Aptima, Inc.
    Inventors: Georgiy Levchuk, E. Webb Stacy, Charlotte Shabarekh
  • Publication number: 20180168516
    Abstract: Systems and methods for supporting medical therapy decisions are disclosed that utilize predictive models and electronic medical records (EMR) data to provide predictions of health conditions over varying time horizons. Embodiments also determine a 0-100 health risk index value that represents the “risk” for a patient to acquire a health condition based on a combination of real-time and predicted EMR data. The systems and methods receive EMR data and use the predictive models to predict one or more data values from the EMR data as diagnostic criteria. In some embodiments, the health condition trying to be avoided is Sepsis and the health risk index is a Sepsis Risk Index (SRI). In some embodiments, the predictive models are neural network models such as time delay neural networks.
    Type: Application
    Filed: August 7, 2016
    Publication date: June 21, 2018
    Applicant: Aptima, Inc.
    Inventors: Scott M. Pappada, John J. Feeney, William N. DePriest
  • Patent number: 9965725
    Abstract: A method for power management comprising inferring a user behavior from an action, inferring a mission state from the action and an event, forecasting a forecasted action from the user behavior and the mission state and outputting an instruction to modify a power resource allocation based on the forecasted action. A processor based assembly for power management of at least one device comprising a means to infer a user behavior from an action, a means to infer a mission state from the action and an event, a means to forecast and a means to plan power management from the inferred information. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.
    Type: Grant
    Filed: December 1, 2014
    Date of Patent: May 8, 2018
    Assignee: Aptima, Inc.
    Inventors: Georgiy Levchuk, Nathan Schurr, Darby Hering, Mitch Zakin
  • Patent number: 9917739
    Abstract: Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic multi-attribute graph matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.
    Type: Grant
    Filed: December 31, 2012
    Date of Patent: March 13, 2018
    Assignee: Aptima, Inc.
    Inventors: Georgiy Levchuk, E. Webb Stacy, Charlotte Shabarekh
  • Patent number: 9594825
    Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.
    Type: Grant
    Filed: July 26, 2015
    Date of Patent: March 14, 2017
    Assignee: Aptima, Inc.
    Inventors: Bruce Skarin, Andrew Duchon, Richard Alexis DeJordy, Paul David Allopenna
  • Patent number: 9293054
    Abstract: Computer implemented systems and methods of communicating a system reaction to environmental input comprising receiving environmental input, determining a hazard state and a user state from the environmental input, determining a system reaction from the hazard state and the user state and communicating the system reaction to a user interface. In some embodiments, the system reaction comprises a system reaction level and in some embodiments the system reaction level corresponds to a stage of automation. In some embodiments, the user interface is a multimodal interface and in some embodiments the user interface is a haptic interface.
    Type: Grant
    Filed: November 12, 2012
    Date of Patent: March 22, 2016
    Assignee: Aptima, Inc.
    Inventors: Sylvain Bruni, Andy Chang, Alan Carlin, Yale Marc, Leah Swanson, Stephanie Pratt, Gilbert Mizrahi
  • Publication number: 20160007899
    Abstract: Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.
    Type: Application
    Filed: March 13, 2014
    Publication date: January 14, 2016
    Applicant: Aptima, Inc.
    Inventors: Kevin Durkee, Scott Pappada, Andres Ortiz, William DePriest, John Feeney, Alexandra Geyer, Seamus Sullivan, Sterling Wiggins
  • Publication number: 20160012121
    Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.
    Type: Application
    Filed: July 26, 2015
    Publication date: January 14, 2016
    Applicant: APTIMA, INC.
    Inventors: Bruce Skarin, Andrew Duchon, Richard Alexis DeJordy, Paul David Allopenna
  • Patent number: 9177259
    Abstract: Embodiments of the disclosed systems and methods comprise systems and methods for recognizing actions of an object and matching those actions with expected patterns of actions. In some embodiments, the methods recognize actions using statistical classifiers and aggregate data about locomotions, actions, and interactions of the object to infer patterns of that object using a pattern recognition algorithm. In some embodiments, the systems and methods are further able to select responses to recognized patterns and learn patterns over time.
    Type: Grant
    Filed: November 29, 2011
    Date of Patent: November 3, 2015
    Assignee: Aptima Inc.
    Inventor: Georgiy Levchuk
  • Patent number: 9165254
    Abstract: The present invention relate to a method and system to predict the likelihood of data topics that may occur from data sources. The likelihood of the data topics may be predicted over other dimensions of time or over other dimensions. In the present invention, a topic means a defining characteristic, usually represented as a data element, of a single feature, activity, subject, behavior, event or an aggregation of such defining characteristics.
    Type: Grant
    Filed: January 13, 2009
    Date of Patent: October 20, 2015
    Assignee: Aptima, Inc.
    Inventors: Andrew P. Duchon, Robert McCormack, William J. Salter, Paul David Allopenna, Shawn Weil, John Colonna-Romano, David Kramer
  • Publication number: 20150286956
    Abstract: A processor based system and method of generating cognitive pattern knowledge of a sensory input is disclosed. The method comprising the steps of receiving sensory input to create at least one concrete pattern, receiving at least one abstract pattern comprising abstract segments and vertically blending the concrete pattern with the abstract pattern by selectively projecting abstract segments to create a vertically blended pattern whereby the vertically blended pattern represents cognitive pattern knowledge of the sensory input. In some embodiments, the systems and methods further comprise creating a measure of a degree of vertical blending and when the measure of the degree of vertical blending exceeds a threshold, horizontally blending at least two abstract patterns to create a horizontally blended abstract pattern.
    Type: Application
    Filed: June 14, 2015
    Publication date: October 8, 2015
    Applicant: APTIMA, INC.
    Inventors: E. Webb Stacy, Alexandra Geyer
  • Patent number: 9123022
    Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.
    Type: Grant
    Filed: May 27, 2009
    Date of Patent: September 1, 2015
    Assignee: Aptima, Inc.
    Inventors: Bruce Skarin, Andrew Duchon, Paul Allopenna, Rich Dejordy
  • Patent number: 9058561
    Abstract: A processor based system and method of generating cognitive pattern knowledge of a sensory input is disclosed. The method comprising the steps of receiving sensory input to create at least one concrete pattern, receiving at least one abstract pattern comprising abstract segments and vertically blending the concrete pattern with the abstract pattern by selectively projecting abstract segments to create a vertically blended pattern whereby the vertically blended pattern represents cognitive pattern knowledge of the sensory input. In some embodiments, the systems and methods further comprise creating a measure of a degree of vertical blending and when the measure of the degree of vertical blending exceeds a threshold, horizontally blending at least two abstract patterns to create a horizontally blended abstract pattern.
    Type: Grant
    Filed: March 21, 2011
    Date of Patent: June 16, 2015
    Assignee: Aptima, Inc.
    Inventors: E. Webb Stacy, Alexandra Geyer
  • Publication number: 20150049634
    Abstract: Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic multi-attribute graph matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.
    Type: Application
    Filed: December 31, 2012
    Publication date: February 19, 2015
    Applicant: Aptima, Inc.
    Inventors: Georgiy Levchuk, E. Webb Stacy, Charlotte Shabarekh
  • Patent number: 8909950
    Abstract: A method for power management comprising inferring a user behavior from an action, inferring a mission state from the action and an event, forecasting a forecasted action from the user behavior and the mission state and outputting an instruction to modify a power resource allocation based on the forecasted action. A processor based assembly for power management of at least one device comprising a means to infer a user behavior from an action, a means to infer a mission state from the action and an event, a means to forecast and a means to plan power management from the inferred information. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.
    Type: Grant
    Filed: April 18, 2011
    Date of Patent: December 9, 2014
    Assignee: Aptima, Inc.
    Inventors: Georgiy Levchuk, Nathan Schurr, Darby E. Hering, Mitch Zakin
  • Publication number: 20140278833
    Abstract: Systems and methods to provide a training solution for a trainee are disclosed. In some embodiments the method comprises receiving a training requirement comprising a training outcome and a training configuration wherein the training configuration defines a trainee state, determining a training environment based on a relevancy function of the training environment to the training outcome, determining a training content based on a relationship function of the training content to the trainee state and determining a training solution comprising the training environment and the training content. In some embodiments, the relationship function comprises a POMDP model and the relevancy function comprises a best fit curve.
    Type: Application
    Filed: March 13, 2014
    Publication date: September 18, 2014
    Applicant: APTIMA, INC.
    Inventors: Leah Swanson, Kristy Reynolds, Michael Garrity, Tiffany Poeppelman, Michael Keeney, Alan Carlin, Danielle Dumond, Yale Marc