Patents by Inventor Michael Anthony Young, JR.

Michael Anthony Young, JR. 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: 20240159555
    Abstract: Systems and methods are disclosed herein for training machine learning models using precision data based on movement and timing of data collection. The system trains the machine learning model to predict object locations in an environment. The training data includes location data, timing data, and motion data, collection of which is triggered by a user input indicating that a particular object was located. The system generates precision parameters for the locations by assigning initial values to entries within the training data and may lower precision parameters based on the timing data indicating that an object was located faster than a threshold time or based on the motion data indicating that a rate of motion exceeded a threshold rate when a corresponding object was located. The system may update the training data with the lowered precision parameters and train the machine learning model to predict the object locations within the environment.
    Type: Application
    Filed: November 15, 2022
    Publication date: May 16, 2024
    Applicant: Capital One Services, LLC
    Inventors: Matthew Louis NOWAK, Michael Anthony YOUNG, JR., Christopher McDANIEL
  • Patent number: 11922507
    Abstract: Aspects described herein may allow displaying of augmented reality content items associated with selected vehicle models, as well as price or budget information associated with the displayed vehicle to facilitate the user to make purchasing or financing decisions. For example, a computing device may detect a plurality of physical anchors attached to a vehicle husk and determine location information for each of the plurality of physical anchors. The computing device may receive one or more augmented reality (AR) content items corresponding to one or more vehicle features for the selected vehicle model and display via an AR interface, the one or more AR content items positioned relative to the vehicle husk based on the location of each of the plurality of physical anchors, as well as a price associated with the selected vehicle model having the one or more vehicle features.
    Type: Grant
    Filed: March 8, 2023
    Date of Patent: March 5, 2024
    Assignee: Capital One Services, LLC
    Inventors: Michael Anthony Young, Jr., Matthew Louis Nowak, Christopher McDaniel
  • Publication number: 20240073250
    Abstract: In some embodiments, a computing system may monitor authentication input and modify authentication requirements based on detection of user-specific input errors. The computing system may use machine learning or other techniques to detect whether an incorrect authentication input corresponds to a common input mistake of a user. If the incorrect authentication input does correspond to a common input mistake of the user, a computing system may modify one or more authentication requirements to make the authentication process easier for the user.
    Type: Application
    Filed: August 25, 2022
    Publication date: February 29, 2024
    Applicant: Capital One Services, LLC
    Inventors: Christopher McDANIEL, Michael Anthony YOUNG, JR., Matthew Louis NOWAK
  • Publication number: 20240073251
    Abstract: In some embodiments, a computing system may monitor authentication input and modify authentication requirements based on detection of user-specific input errors. The computing system may use machine learning or other techniques to detect whether an incorrect authentication input corresponds to a common input mistake of a user. If the incorrect authentication input does correspond to a common input mistake of the user, a computing system may modify one or more authentication requirements to make the authentication process easier for the user.
    Type: Application
    Filed: August 25, 2022
    Publication date: February 29, 2024
    Applicant: Capital One Services, LLC
    Inventors: Matthew Louis NOWAK, Michael Anthony YOUNG, JR., Christopher McDANIEL
  • Publication number: 20240048467
    Abstract: Methods and systems that use a plurality of machine learning models to both monitor user-generated data entries corresponding to differences in network traffic that may be evidence of a disruption and determine severity levels based on: (i) current and historic differences in average network traffic over the plurality of communication networks; (ii) current and historic user-generated data entries; and (iii) labeled severity levels for historic differences in average network traffic over the plurality of communication networks.
    Type: Application
    Filed: October 18, 2023
    Publication date: February 8, 2024
    Applicant: Capital One Services, LLC
    Inventors: Matthew Louis NOWAK, Michael Anthony YOUNG, Jr., Christopher McDANIEL
  • Publication number: 20240039798
    Abstract: Methods and systems are described herein for generating communication modifications to reduce inaccurate machine-learning-based communication suppressions. The system may receive a candidate communication to be sent to a user device or user account. The system may generate a prediction indicating whether a negative action is likely to be taken by a machine learning model with respect to the candidate communication. Based on a prediction that a negative action is likely to be taken by a machine learning model with respect to the candidate communication, the system may modify the candidate communication.
    Type: Application
    Filed: August 1, 2022
    Publication date: February 1, 2024
    Applicant: Capital One Services, LLC
    Inventors: Christopher McDANIEL, Matthew Louis NOWAK, Michael Anthony YOUNG, JR.
  • Publication number: 20240004711
    Abstract: Methods and systems are described herein for a resource allocation system. The resource allocation system may obtain a corresponding quantity of resources (e.g., memory, processor, storage, etc.) needed to be allocated for each resource class (e.g., for a given performance class) for a particular time period (e.g., for one month). Furthermore, the resource allocation system may track allocation of each class of resources and may predict that some classes of resources will be oversubscribed. Based on the prediction, the resource allocation system may, using a machine learning model, identify supplemental classes for each resource class predicted to be oversubscribed and generate a warning when a resource of a supplemental class is predicted to be used.
    Type: Application
    Filed: June 30, 2022
    Publication date: January 4, 2024
    Applicant: Capital One Services, LLC
    Inventors: Michael Anthony YOUNG, Jr., Christopher McDANIEL, Matthew Louis NOWAK
  • Patent number: 11831531
    Abstract: Methods and systems that use a plurality of machine learning models to both monitor user-generated data entries corresponding to differences in network traffic that may be evidence of a disruption and determine severity levels based on: (i) current and historic differences in average network traffic over the plurality of communication networks; (ii) current and historic user-generated data entries; and (iii) labeled severity levels for historic differences in average network traffic over the plurality of communication networks.
    Type: Grant
    Filed: October 18, 2021
    Date of Patent: November 28, 2023
    Assignee: Capital One Services, LLC
    Inventors: Matthew Louis Nowak, Michael Anthony Young, Jr., Christopher McDaniel
  • Publication number: 20230359925
    Abstract: Aspects described herein may use machine learning models to establishing severity designations for associating with a potential occurrence of an incident of an entity. Asset ownership data, development operations tools metric data, and severity matrix data are compiled and a relationship between the compiled data and new metric data is determined. Based upon the determined relationship, a new entry to add to the severity matrix data is predicted and a notification of the same is thereafter outputted.
    Type: Application
    Filed: May 4, 2022
    Publication date: November 9, 2023
    Inventors: Matthew Louis Nowak, Christopher McDaniel, Michael Anthony Young, JR.
  • Publication number: 20230360134
    Abstract: Aspects described herein may allow displaying of augmented reality content items associated with selected vehicle models, as well as price or budget information associated with the displayed vehicle to facilitate the user to make purchasing or financing decisions. For example, a computing device may detect a plurality of physical anchors attached to a vehicle husk and determine location information for each of the plurality of physical anchors. The computing device may receive one or more augmented reality (AR) content items corresponding to one or more vehicle features for the selected vehicle model and display via an AR interface, the one or more AR content items positioned relative to the vehicle husk based on the location of each of the plurality of physical anchors, as well as a price associated with the selected vehicle model having the one or more vehicle features.
    Type: Application
    Filed: March 8, 2023
    Publication date: November 9, 2023
    Inventors: Michael Anthony Young, JR., Matthew Louis Nowak, Christopher McDaniel
  • Patent number: 11721143
    Abstract: Methods and systems are described herein for generating vehicle profiles for detected vehicles based on engine sound recordings. Based on those vehicle profiles, an enterprise is enabled to generate a user profile for customers. To generate the vehicle profile, a vehicle profiling system may be used. The vehicle profiling system may receive sound data with range information. The vehicle profiling system may input the sound data into a trained machine learning model and receive vehicle model information for the sound data. Based on the output, the profiling system may retrieve metadata associated with the vehicle model and generate a profile based on the metadata.
    Type: Grant
    Filed: July 11, 2022
    Date of Patent: August 8, 2023
    Assignee: Capital One Services, LLC
    Inventors: Michael Anthony Young, Jr., Christopher McDaniel, Matthew Louis Nowak
  • Publication number: 20230244438
    Abstract: Disclosed herein are system, method, and computer program product embodiments for machine learning systems to predict real-time productivity changes based on prospective scheduling. A productivity predictive model is trained by a machine learning engine with meeting and productivity training data, wherein the productivity predictive model includes one or more algorithms to select a future productivity change based on a future schedule. The system receives a current schedule and current productivity measurements of a user, receives a scheduling request for the user, predicts a future productivity change and displays a graphic to a user revealing the future productivity change of the user based on accepting the scheduling request.
    Type: Application
    Filed: January 31, 2022
    Publication date: August 3, 2023
    Applicant: Capital One Services, LLC
    Inventors: Michael Anthony YOUNG, Jr., Christopher MCDANIEL, Matthew Louis NOWAK
  • Publication number: 20230121911
    Abstract: Methods and systems that use a plurality of machine learning models to both monitor user-generated data entries corresponding to differences in network traffic that may be evidence of a disruption and determine severity levels based on: (i) current and historic differences in average network traffic over the plurality of communication networks; (ii) current and historic user-generated data entries; and (iii) labeled severity levels for historic differences in average network traffic over the plurality of communication networks.
    Type: Application
    Filed: October 18, 2021
    Publication date: April 20, 2023
    Applicant: Capital One Services, LLC
    Inventors: Matthew Louis NOWAK, Michael Anthony YOUNG, JR., Christopher McDANIEL
  • Patent number: 11625787
    Abstract: Aspects described herein may allow displaying of augmented reality content items associated with selected vehicle models, as well as price or budget information associated with the displayed vehicle to facilitate the user to make purchasing or financing decisions. For example, a computing device may detect a plurality of physical anchors attached to a vehicle husk and determine location information for each of the plurality of physical anchors. The computing device may receive one or more augmented reality (AR) content items corresponding to one or more vehicle features for the selected vehicle model and display via an AR interface, the one or more AR content items positioned relative to the vehicle husk based on the location of each of the plurality of physical anchors, as well as a price associated with the selected vehicle model having the one or more vehicle features.
    Type: Grant
    Filed: May 3, 2022
    Date of Patent: April 11, 2023
    Assignee: Capital One Services, LLC
    Inventors: Michael Anthony Young, Jr., Matthew Louis Nowak, Christopher McDaniel
  • Publication number: 20220414524
    Abstract: Aspects described herein may use machine learning models to predict individuals or teams to assign to a discussion group in response to the occurrence of a new incident of an entity. A first machine learning model recognizes relationships between data concerning previous incidents, including remediation actions and individuals assigned to a discussion group on the corresponding incident, and a new incident. A second machine learning model predicts individuals to assign to a discussion group to address the new incident and schedules a conference bridge based upon known scheduling data of the individuals.
    Type: Application
    Filed: June 23, 2021
    Publication date: December 29, 2022
    Inventors: Matthew Louis Nowak, Thomas A. Withers, Michael Anthony Young, JR.