Patents by Inventor Philippe GUAY

Philippe GUAY 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: 20250348484
    Abstract: A large language model (LLM) agent standardizes asset metadata and facilitates access to the resulting standardized data via one or more application programming interfaces (APIs). The LLM agent receives non-standardized data that includes first asset metadata describing a first asset and second asset metadata describing a second asset. The first asset metadata is obtained from a first domain and has a first format, and the second asset metadata is obtained from a second domain and has a second format. The data also includes sensor data. The LLM agent converts the different formats into a standardized format, resulting in generation of first standardized data. The LLM agent generates a data model that includes the standardized data and performance trend data. The LLM agent provides access to the data model via one or more APIs.
    Type: Application
    Filed: May 7, 2025
    Publication date: November 13, 2025
    Inventors: Stefan Cristian Turlica, Hugo Dozois-Caouette, Mathieu Marengère-Gosselin, Marc-André Ruel, Mathieu Lachance, Philippe Guay, Saif Kurdi-Teylouni
  • Patent number: 12182308
    Abstract: Systems and methods relating to the replacement or removal of sensitive data in images of documents. An initial image of a document with sensitive data is received at an execution module and changes are made based on the execution module's training. The changes include replacing or effectively removing the sensitive data from the image of the document. The resulting sanitized image is then sent to a user for validation of the changes. The feedback from the user is then used in training the execution module to refine its behaviour when applying changes to other initial images of documents. To train the execution module, training data sets of document images with sensitive data manually tagged by users are used. The execution module thus learns to identify sensitive data and its submodules replace that sensitive data with suitable replacement data. The feedback from the user works to improve the resulting sanitized images from the execution module.
    Type: Grant
    Filed: November 7, 2019
    Date of Patent: December 31, 2024
    Assignee: ServiceNow Canada Inc.
    Inventors: Archy Otto De Berker, Philippe Guay, Dominique Tourillon, Etienne Marcotte
  • Patent number: 11589774
    Abstract: There is described a wearable respiration sensor generally having a stretchable substrate to be worn around a user's torso; and a dipole antenna having two flexible conductive elements extending in opposite directions from a center, relative to a dipole axis, and being secured to the stretchable substrate, each of the two flexible conductive elements having a proximate end near the center, a distal end away from the center, and a curved portion curving away from and back towards the dipole axis between the proximate end and the distal end, the two flexible conductive elements being in a point reflection symmetry relative to one another relative to said center in a manner that, when the stretchable substrate is stretched along the dipole axis, the curved portions of the two flexible conductive elements are flattened and the distal ends are moved away from one another.
    Type: Grant
    Filed: April 29, 2019
    Date of Patent: February 28, 2023
    Assignee: UNIVERSITÉ LAVAL
    Inventors: Stepan Gorgutsa, Philippe Guay, Younès Messadeq, Sophie Larochelle, Amine Miled, Simon Bellemare-Rousseau, Mourad Roudjane, Marc-André Dugas
  • Publication number: 20210397737
    Abstract: Systems and methods relating to the replacement or removal of sensitive data in images of documents. An initial image of a document with sensitive data is received at an execution module and changes are made based on the execution module's training. The changes include replacing or effectively removing the sensitive data from the image of the document. The resulting sanitized image is then sent to a user for validation of the changes. The feedback from the user is then used in training the execution module to refine its behaviour when applying changes to other initial images of documents. To train the execution module, training data sets of document images with sensitive data manually tagged by users are used. The execution module thus learns to identify sensitive data and its submodules replace that sensitive data with suitable replacement data. The feedback from the user works to improve the resulting sanitized images from the execution module.
    Type: Application
    Filed: November 7, 2019
    Publication date: December 23, 2021
    Applicant: ELEMENT AI INC.
    Inventors: Archy Otto DE BERKER, Philippe GUAY, Dominique TOURILLON, Etienne MARCOTTE
  • Publication number: 20190336038
    Abstract: There is described a wearable respiration sensor generally having a stretchable substrate to be worn around a user's torso; and a dipole antenna having two flexible conductive elements extending in opposite directions from a center, relative to a dipole axis, and being secured to the stretchable substrate, each of the two flexible conductive elements having a proximate end near the center, a distal end away from the center, and a curved portion curving away from and back towards the dipole axis between the proximate end and the distal end, the two flexible conductive elements being in a point reflection symmetry relative to one another relative to said center in a manner that, when the stretchable substrate is stretched along the dipole axis, the curved portions of the two flexible conductive elements are flattened and the distal ends are moved away from one another.
    Type: Application
    Filed: April 29, 2019
    Publication date: November 7, 2019
    Inventors: Stepan GORGUTSA, Philippe GUAY, Younès MESSADEQ, Sophie LAROCHELLE, Amine MILED, Simon BELLEMARE-ROUSSEAU, Mourad ROUDJANE, Marc-André DUGAS