Patents by Inventor Luis Capelo

Luis Capelo 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: 20240256980
    Abstract: A method for standardized model interaction can include: determining a model composition, receiving an input, converting the input into a standard object, converting the standard input object into a model-specific input (MSI) object, executing the model using the MSI object, converting the output from the model-specific output (MSO) object to a standard object, repeating previous steps for each successive model within the model composition, and providing a final model output.
    Type: Application
    Filed: April 11, 2024
    Publication date: August 1, 2024
    Applicant: Grid.ai, Inc.
    Inventors: Luis Capelo, Richard Izzo
  • Patent number: 11983614
    Abstract: A method for standardized model interaction can include: determining a model composition, receiving an input, converting the input into a standard object, converting the standard input object into a model-specific input (MSI) object, executing the model using the MSI object, converting the output from the model-specific output (MSO) object to a standard object, repeating previous steps for each successive model within the model composition, and providing a final model output.
    Type: Grant
    Filed: May 19, 2022
    Date of Patent: May 14, 2024
    Assignee: Grid.ai, Inc.
    Inventors: Luis Capelo, Richard Izzo
  • Publication number: 20220308777
    Abstract: A system for large-scale machine learning experiment execution, including: a platform configured to determine an experiment set from a run specification and schedule a run to one or more clusters; and a set of agents configured to receive the experiment set from the platform and facilitate individual experiment execution through a cluster orchestrator.
    Type: Application
    Filed: June 6, 2022
    Publication date: September 29, 2022
    Inventors: Luis Capelo, Williams Falcon, Karolis Rusenas, Luca Antiga, Neven Miculinic
  • Publication number: 20220277230
    Abstract: A method for standardized model interaction can include: determining a model composition, receiving an input, converting the input into a standard object, converting the standard input object into a model-specific input (MSI) object, executing the model using the MSI object, converting the output from the model-specific output (MSO) object to a standard object, repeating previous steps for each successive model within the model composition, and providing a final model output.
    Type: Application
    Filed: May 19, 2022
    Publication date: September 1, 2022
    Inventors: Luis Capelo, Richard Izzo
  • Patent number: 11379140
    Abstract: A system for large-scale machine learning experiment execution, including: a platform configured to determine an experiment set from a run specification and schedule a run to one or more clusters; and a set of agents configured to receive the experiment set from the platform and facilitate individual experiment execution through a cluster orchestrator.
    Type: Grant
    Filed: October 5, 2021
    Date of Patent: July 5, 2022
    Assignee: Grid.ai, Inc.
    Inventors: Luis Capelo, Williams Falcon, Karolis Rusenas, Luca Antiga, Neven Miculinic
  • Patent number: 11367021
    Abstract: A method for standardized model interaction can include: determining a model composition, receiving an input, converting the input into a standard object, converting the standard input object into a model-specific input (MSI) object, executing the model using the MSI object, converting the output from the model-specific output (MSO) object to a standard object, repeating previous steps for each successive model within the model composition, and providing a final model output.
    Type: Grant
    Filed: October 5, 2021
    Date of Patent: June 21, 2022
    Assignee: Grid.ai, Inc.
    Inventors: Luis Capelo, Richard Izzo
  • Publication number: 20220107744
    Abstract: A system for large-scale machine learning experiment execution, including: a platform configured to determine an experiment set from a run specification and schedule a run to one or more clusters; and a set of agents configured to receive the experiment set from the platform and facilitate individual experiment execution through a cluster orchestrator.
    Type: Application
    Filed: October 5, 2021
    Publication date: April 7, 2022
    Inventors: Luis Capelo, Williams Falcon, Karolis Rusenas, Luca Antiga, Neven Miculinic
  • Publication number: 20220108223
    Abstract: A method for standardized model interaction can include: determining a model composition, receiving an input, converting the input into a standard object, converting the standard input object into a model-specific input (MSI) object, executing the model using the MSI object, converting the output from the model-specific output (MSO) object to a standard object, repeating previous steps for each successive model within the model composition, and providing a final model output.
    Type: Application
    Filed: October 5, 2021
    Publication date: April 7, 2022
    Inventors: Luis Capelo, Richard Izzo
  • Publication number: 20180017555
    Abstract: The present invention relates to a peptide pattern characteristic of subjects who suffer from arthrosis and the use of said peptide pattern in the diagnosis of said disease. Therefore, the present invention also relates to an in vitro diagnostic method and a kit for implementing said method.
    Type: Application
    Filed: October 1, 2015
    Publication date: January 18, 2018
    Inventors: Francisco J. BLANCO GARCÍA, Cristina RUIZ ROMERO, Carolina FERNANDEZ COSTA, Jose Luis CAPELO MARTINEZ, Florentino FERNANDEZ RIVEROLA, Miguel REBOIRO JATO
  • Publication number: 20090246813
    Abstract: The present invention refers to an acceleration process for macromolecular fragmentation in liquid medium, in gel or in a solid support, by means of joint application of enzymes and ultrasounds, as well as isotopes. The macromolecules, in any of these liquids, are mixed with enzymes and inserted in a recipient (2) and exposed to an ultrasonic radiation field (1). The combined effect of the enzymes and of the ultrasounds allows accomplishing, in time ranges between 10 s and 600 s, the fragmentation of macromolecules or whole proteontes, with the correspondent formation of their constituent lower molecular units.
    Type: Application
    Filed: July 7, 2006
    Publication date: October 1, 2009
    Applicants: FACULDADE DE CIENCIA E TECHNOLOGIA-UNIVERSIDADE NOVA DE LISBOA, CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
    Inventors: Jose Luis Capelo Martinez, Jesus Vazquez Cobos, Daniel Lopez Ferrer, Isabel Moura