Patents by Inventor Lee Saeugling

Lee Saeugling 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: 20240264923
    Abstract: A system can receive a group of computer log entries that comprise letters in an alphabet. The system can convert log entries of the group of computer log entries into respective first vectors that comprise numerical values. The system can perform a first similarity search with respect to the first vectors to identify respective groups of vectors that identify a same known computer issue. The system can perform machine learning on the respective groups of vectors to identify signatures of known computer issues. The system can perform a second similarity search with respect to second vectors and third vectors that correspond to the signatures of known computer issues to identify devices that correspond to the second vectors that have at least one known computer issue of the signatures of known computer issues. The system can store an indication of the devices.
    Type: Application
    Filed: February 8, 2023
    Publication date: August 8, 2024
    Inventors: Benjamin Fauber, Lee Saeugling, Joseph Tansey
  • Patent number: 11941792
    Abstract: An apparatus comprises a processing device configured to receive a service request for a given computing device, the service request comprising a given image of a given computing device, to generate a given image embedding for the given image utilizing a machine learning model, and to determine similarity measures between the given image embedding and other image embeddings for other images of computing devices utilizing an angular similarity metric. The processing device is configured to identify whether the given image exhibits at least a threshold level of similarity to at least one other image based at least in part on the determined similarity measures, to classify the given image as potentially fraudulent responsive to identifying the given image as exhibiting at least the threshold level of similarity to at least one other image, and to modify processing of the service request responsive to classifying the given image as potentially fraudulent.
    Type: Grant
    Filed: April 9, 2021
    Date of Patent: March 26, 2024
    Assignee: Dell Products L.P.
    Inventors: Benjamin Fauber, Lee Saeugling
  • Publication number: 20230236948
    Abstract: A system can determine groups of repair actions taken for computers from an event log of repair actions. The system can create a weighted, directed graph from the groups of repair actions, wherein respective vertices of the weighted, directed graph correspond to respective repair states, and wherein respective edges of the weighted, directed graph between two vertices of the weighted, directed graph represent respective costs of taking respective actions. The system can determine a path between a first vertex of the respective vertices and a second vertex of the respective vertices, wherein the first vertex corresponds to a starting state of a first computer before repair, wherein the second vertex corresponds to a successful repair of the first computer, and wherein a sum of weights of vertices on the path is below a threshold amount. The system can store an identification of a first group of vertices of the path.
    Type: Application
    Filed: January 21, 2022
    Publication date: July 27, 2023
    Inventors: Ben Fauber, Lee Saeugling
  • Publication number: 20220327678
    Abstract: An apparatus comprises a processing device configured to receive a service request for a given computing device, the service request comprising a given image of a given computing device, to generate a given image embedding for the given image utilizing a machine learning model, and to determine similarity measures between the given image embedding and other image embeddings for other images of computing devices utilizing an angular similarity metric. The processing device is configured to identify whether the given image exhibits at least a threshold level of similarity to at least one other image based at least in part on the determined similarity measures, to classify the given image as potentially fraudulent responsive to identifying the given image as exhibiting at least the threshold level of similarity to at least one other image, and to modify processing of the service request responsive to classifying the given image as potentially fraudulent.
    Type: Application
    Filed: April 9, 2021
    Publication date: October 13, 2022
    Inventors: Benjamin Fauber, Lee Saeugling