Patents by Inventor Matthew Turner
Matthew Turner 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).
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Patent number: 12361289Abstract: Certain embodiments involve generating or optimizing a neural network for generating analytical or predictive outputs. The neural network can be generated using a relationship between various predictor variables and an outcome (e.g., a condition's presence or absence). The neural network can be used to determine a relationship between each of the predictor variables and a response variable. The neural network can be optimized by iteratively adjusting the neural network such that a monotonic relationship exists between each of the predictor variables and the response variable. The optimized neural network can be used both for accurately determining response variables using predictor variables and determining adverse action codes for the predictor variables, which indicate an effect or an amount of impact that a given predictor variable has on the response variable.Type: GrantFiled: March 2, 2021Date of Patent: July 15, 2025Assignee: EQUIFAX INC.Inventors: Lewis Jordan, Matthew Turner, Michael McBurnett
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Patent number: 12332033Abstract: A munition has an explosive charge with direction explosive characteristics, such as a nonuniform detonation velocities. The explosive charge may have multiple portions of explosives with nonuniform characteristics, and/or may have portions with graded nonuniform characteristics. The explosive charge may be used to propel a material from the munition in a desired manner. For example the material may be fragments that are part of a fragmentation munition. Alternatively the material may be a layer of a material, such as a metal, that produces an explosively formed penetrator or shaped charge. The explosive charge may be configured to control the spread and/or direction of the material to be propelled from the munition.Type: GrantFiled: April 28, 2023Date of Patent: June 17, 2025Assignee: Raytheon CompanyInventors: Coulton T. Sadler, Brian J. Lukow, Christopher Matthew Turner
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Publication number: 20250190588Abstract: Systems and methods for automated historical risk assessment for risk mitigation in online access control are provided. An entity assessment server can receive a request to assess a risk indicator change from a first risk indicator to a second risk indicator. For each attribute used to generate the first risk indicator and second risk indicator, a first impact can be determined for changing from the first risk indicator to a third risk indicator between the first risk indicator and the second risk indicator. A second impact similarly can be determined for changing from the third risk indicator to the second risk indicator. Aggregating the first impact and the second impact can determine a total impact of each attribute. Assessment results can be generated to include a list of attributes ordered according to the respective total impact and transmitted to a remote computing device for use in improving the risk indicator.Type: ApplicationFiled: February 21, 2025Publication date: June 12, 2025Inventors: Md Shafiul Alam, Jonathan Boardman, Xiao Huang, Jeffery Dugger, Matthew Turner
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Patent number: 12299552Abstract: Certain aspects involve training tree-based machine-learning models for computing predicted responses and generating explanatory data for the models. For example, independent variables having relationships with a response variable are identified. Each independent variable corresponds to an action or observation for an entity. The response variable has outcome values associated with the entity. Splitting rules are used to generate the tree-based model, which includes decision trees for determining relationships between independent variables and a predicted response associated with the response variable. The tree-based model is iteratively adjusted to enforce monotonicity with respect to representative response values of the terminal nodes. For instance, one or more decision trees are adjusted such that one or more representative response values are modified and a monotonic relationship exists between each independent variable and the response variable.Type: GrantFiled: February 22, 2021Date of Patent: May 13, 2025Assignee: EQUIFAX INC.Inventors: Lewis Jordan, Matthew Turner, Finto Antony
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Patent number: 12288175Abstract: Systems and methods for automated path-based recommendation for risk mitigation are provided. An entity assessment server, responsive to a request for a recommendation for modifying a current risk assessment score of an entity to a target risk assessment score, accesses an input attribute vector for the entity and clusters of entities defined by historical attribute vectors. The entity assessment server assigns the input attribute vector to a particular cluster and determines a requirement on movement from a first point to a second point in a multi-dimensional space based on the statistics computed from the particular cluster. The first point corresponds to the current risk assessment score and the second point corresponds to the target risk assessment score. The entity assessment server computes an attribute-change vector so that a path defined by the attribute-change vector complies with the requirement and generates the recommendation from the attribute-change vector.Type: GrantFiled: January 3, 2024Date of Patent: April 29, 2025Assignee: EQUIFAX INC.Inventors: Stephen Miller, Lewis Jordan, Matthew Turner, Mark Day, Allan Joshua
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Patent number: 12276624Abstract: Systems and methods of quantum sensing include depositing a sample volume onto an ensemble of quantum defects, hyperpolarizing spins in the sample volume, performing a sensing sequence, and reading out information regarding electronic spin states of the quantum defects in the ensemble of quantum defects, which sense the hyperpolarized spins in the sample volume.Type: GrantFiled: June 1, 2022Date of Patent: April 15, 2025Assignees: University of Maryland, College Park, The President and Fellows of Harvard College, North Carolina State UniversityInventors: Ronald Walsworth, Nithya Arunkumar, Dominik Bucher, Matthew Turner, David Glenn, Matthew S. Rosen, Thomas Theis
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Patent number: 12235971Abstract: Systems and methods for automated historical risk assessment for risk mitigation in online access control are provided. An entity assessment server can receive a request to assess a risk indicator change from a first risk indicator to a second risk indicator. For each attribute used to generate the first risk indicator and second risk indicator, a first impact can be determined for changing from the first risk indicator to a third risk indicator between the first risk indicator and the second risk indicator. A second impact similarly can be determined for changing from the third risk indicator to the second risk indicator. Aggregating the first impact and the second impact can determine a total impact of each attribute. Assessment results can be generated to include a list of attributes ordered according to the respective total impact and transmitted to a remote computing device for use in improving the risk indicator.Type: GrantFiled: November 30, 2022Date of Patent: February 25, 2025Assignee: Equifax Inc.Inventors: Md Shafiul Alam, Jonathan Boardman, Xiao Huang, Jeffery Dugger, Matthew Turner
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Publication number: 20250053859Abstract: In some aspects, a computing system can generate and optimize a machine learning model to estimate an unobservable capacity of a target system or entity. The computing system can access training vectors which include training predictor variables, training performance indicators, and task quantities. A training performance indicator indicating performance outcome corresponding to the predictor variables and a task quantity associated with a task assigned to the target entity that leads to the training performance indicator. The machine learning model can be trained by performing adjustments of parameters of the machine learning model to minimize a loss function defined based on the training vectors. The trained machine learning model can be used to estimate the capacity of the target system or entity for handling tasks and be used in assigning tasks to the target entity according to the determined capacity.Type: ApplicationFiled: August 8, 2023Publication date: February 13, 2025Inventors: Stephen MILLER, Lewis JORDAN, Felipe Alfonso Avila ROSALES, Terry WOODFORD, Matthew TURNER
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Publication number: 20240361110Abstract: A munition has an explosive charge with direction explosive characteristics, such as a nonuniform detonation velocities. The explosive charge may have multiple portions of explosives with nonuniform characteristics, and/or may have portions with graded nonuniform characteristics. The explosive charge may be used to propel a material from the munition in a desired manner. For example the material may be fragments that are part of a fragmentation munition. Alternatively the material may be a layer of a material, such as a metal, that produces an explosively formed penetrator or shaped charge. The explosive charge may be configured to control the spread and/or direction of the material to be propelled from the munition.Type: ApplicationFiled: April 28, 2023Publication date: October 31, 2024Inventors: Coulton T. Sadler, Brian J. Lukow, Christopher Matthew Turner
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Publication number: 20240330759Abstract: Techniques are described herein for applying natural language processing (NLP) techniques to time series data to derive attributes of an object for use with a machine-learning model. In one example, a system can receive a time series associated with an object over a time window, where the time series includes a set of discrete values. The system can then generate a time series encoding based on the time series. The system can provide the time series encoding as input to a trained natural language processing (NLP) model, which can generate one or more output embeddings based on the time series encoding. Next, the system can determine at least one attribute associated with the object based on the one or more output embeddings. The system can then provide the attributes for use with a machine-learning model, which may for example be configured to predict a future characteristic of the object.Type: ApplicationFiled: April 3, 2023Publication date: October 3, 2024Inventors: Lewis Charles JORDAN, Felipe Alfonso AVILA ROSALES, Terry WOODFORD, Stephen MILLER, Matthew TURNER
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Publication number: 20240275019Abstract: A mounting system for telecommunications equipment comprises: a mast for supporting telecommunications equipment; a first mounting bracket, affixable to supporting infrastructure; a pivot, secured to the first mounting bracket, into which a first end of the mast is mounted, the pivot enabling the mast to be pivoted between a first, raised position and a second, lowered position; and a second mounting bracket, affixable to the supporting infrastructure, for selectively supporting the mast while in the first position.Type: ApplicationFiled: June 17, 2022Publication date: August 15, 2024Applicant: EVOLUTIONARY RAIL LIMITEDInventors: Peter Hansen, Matthew Turner, Ebby Shahidi, Simon Holmes
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Publication number: 20240183869Abstract: An apparatus for depositing and staining a cellular sample, includes a slide processing module comprising a specimen input port (SIP) dock configured to receive a SIP consumable comprising the cellular sample, and position the SIP consumable such that a spray nozzle of the SIP consumable and an air nozzle of the slide processing module are aligned prior to a deposition operation, and a user interface configured receive an input from a user that configures the deposition operation and a staining operation, and an auxiliary systems module, coupled to the slide processing module, comprising a chassis including a removable storage container configured to hold a plurality of bottles comprising one or more of a reagent, a buffer solution, or an ethanol-based fixative, and an electronics subsystem configured to execute, based on the input from the user, a pre-programmed protocol for the deposition operation and the staining operation.Type: ApplicationFiled: March 31, 2022Publication date: June 6, 2024Inventors: Hariharan SUBRAMANIAN, John W. HART, Tamara S. SWANSON, Alexander L. BLUESTONE, Margaux HAYES, Michael HENNING, Derek GURBAN, Nick BOOKER, Nick MOUSKOS, Chester HENDERSON, Rebecca BARTEL, Matthew TURNER
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Publication number: 20240185158Abstract: Systems and methods for automated path-based recommendation for risk mitigation are provided. An entity assessment server, responsive to a request for a recommendation for modifying a current risk assessment score of an entity to a target risk assessment score, accesses an input attribute vector for the entity and clusters of entities defined by historical attribute vectors. The entity assessment server assigns the input attribute vector to a particular cluster and determines a requirement on movement from a first point to a second point in a multi-dimensional space based on the statistics computed from the particular cluster. The first point corresponds to the current risk assessment score and the second point corresponds to the target risk assessment score. The entity assessment server computes an attribute-change vector so that a path defined by the attribute-change vector complies with the requirement and generates the recommendation from the attribute-change vector.Type: ApplicationFiled: January 3, 2024Publication date: June 6, 2024Inventors: Stephen MILLER, Lewis JORDAN, Matthew TURNER, Mark DAY, Allan JOSHUA
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Publication number: 20240176889Abstract: Systems and methods for automated historical risk assessment for risk mitigation in online access control are provided. An entity assessment server can receive a request to assess a risk indicator change from a first risk indicator to a second risk indicator. For each attribute used to generate the first risk indicator and second risk indicator, a first impact can be determined for changing from the first risk indicator to a third risk indicator between the first risk indicator and the second risk indicator. A second impact similarly can be determined for changing from the third risk indicator to the second risk indicator. Aggregating the first impact and the second impact can determine a total impact of each attribute. Assessment results can be generated to include a list of attributes ordered according to the respective total impact and transmitted to a remote computing device for use in improving the risk indicator.Type: ApplicationFiled: November 30, 2022Publication date: May 30, 2024Inventors: Md Shafiul Alam, Jonathan Boardman, Xiao Huang, Jeffery Dugger, Matthew Turner
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Publication number: 20240131038Abstract: The present disclosure relates generally to pharmaceutical compositions comprising cannabidiol (CBD), ?-9-tetrahydrocannabinol (THC) and linalool. In some embodiments, the pharmaceutical compositions are useful in the treatment of an inflammatory condition, e.g., useful for the treatment of pain.Type: ApplicationFiled: December 6, 2021Publication date: April 25, 2024Applicant: Cymra Life Sciences LimitedInventors: Joel Ernest George Hardy, Simon Kenneth Pettinger, John Montgomery, Matthew Turner
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Patent number: 11900294Abstract: Systems and methods for automated path-based recommendation for risk mitigation are provided. An entity assessment server, responsive to a request for a recommendation for modifying a current risk assessment score of an entity to a target nsk assessment score, accesses an input attribute vector for the entity and clusters of entities defined by historical attribute vectors. The entity assessment server assigns the input attribute vector to a particular cluster and determines a requirement on movement from a first point to a second point in a multi-dimensional space based on the statistics computed from the particular cluster. The first point corresponds to the current risk assessment score and the second point corresponds to the target risk assessment score. The entity assessment server computes an attribute-change vector so that a path defined by the attribute-change vector complies with the requirement and generates the recommendation from the attribute-change vector.Type: GrantFiled: August 19, 2020Date of Patent: February 13, 2024Assignee: EQUIFAX INC.Inventors: Stephen Miller, Lewis Jordan, Matthew Turner, Mark Day, Allan Joshua
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Patent number: 11868891Abstract: In some aspects, a computing system can generate and optimize a neural network for risk assessment. The neural network can be trained to enforce a monotonic relationship between each of the input predictor variables and an output risk indicator. The training of the neural network can involve solving an optimization problem under a monotonic constraint. This constrained optimization problem can be converted to an unconstrained problem by introducing a Lagrangian expression and by introducing a term approximating the monotonic constraint. Additional regularization terms can also be introduced into the optimization problem. The optimized neural network can be used both for accurately determining risk indicators for target entities using predictor variables and determining explanation codes for the predictor variables. Further, the risk indicators can be utilized to control the access by a target entity to an interactive computing environment for accessing services provided by one or more institutions.Type: GrantFiled: August 31, 2022Date of Patent: January 9, 2024Assignee: Equifax Inc.Inventors: Matthew Turner, Lewis Jordan, Allan Joshua
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Publication number: 20230297847Abstract: In some aspects, a computing system can generate and optimize a neural network for risk assessment. Input predictor variables can be analyzed to identify common factors of these predictor variables. The neural network can be trained to enforce a monotonic relationship between each common factor of the input predictor variables and an output risk indicator. The training of the neural network can involve solving an optimization problem under this monotonic constraint. The optimized neural network can be used both for accurately determining risk indicators for target entities using predictor variables and determining explanation codes for the predictor variables. Further, the risk indicators can be utilized to control the access by a target entity to an interactive computing environment for accessing services provided by one or more institutions.Type: ApplicationFiled: July 14, 2021Publication date: September 21, 2023Inventors: Matthew TURNER, Stephen MILLER
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Patent number: 11734591Abstract: Certain aspects involve optimizing neural networks or other models for assessing risks and generating explanatory data regarding predictor variables used in the model. In one example, a system identifies predictor variables. The system generates a neural network for determining a relationship between each predictor variable and a risk indicator. The system performs a factor analysis on the predictor variables to determine common factors. The system iteratively adjusts the neural network so that (i) a monotonic relationship exists between each common factor and the risk indicator and (ii) a respective variance inflation factor for each common factor is sufficiently low. Each variance inflation factor indicates multicollinearity among the common factors. The adjusted neural network can be used to generate explanatory indicating relationships between (i) changes in the risk indicator and (ii) changes in at least some common factors.Type: GrantFiled: December 2, 2019Date of Patent: August 22, 2023Assignee: EQUIFAX INC.Inventors: Matthew Turner, Michael McBurnett, Yafei Zhang
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Publication number: 20230111785Abstract: Certain aspects involve an automated recommendation for risk mitigation. An entity assessment server, responsive to a request for a recommendation for achieving a target status of a risk indicator, accesses a set of input attributes for the entity and obtains a quantity of available resource useable for modifying at least resource-dependent attribute values of the entity. The entity assessment server generates a resource allocation plan for the available resource according to a first risk assessment model and updates the set of input attribute values based on the resource allocation plan. The entity assessment server further determines an updated value of the risk indicator for the entity based on the updated set of input attribute values according to a second risk assessment model and generates the recommendation to include the resource allocation plan of the available resource if the updated value of the risk indicator achieves the target status.Type: ApplicationFiled: February 22, 2021Publication date: April 13, 2023Inventors: Allan JOSHUA, Stephen MILLER, Matthew TURNER, Lewis JORDAN