Patents by Inventor Dexmont Alejandro Peña Carillo

Dexmont Alejandro Peña Carillo 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).

  • DEEP LEARNING SYSTEM
    Publication number: 20240127068
    Abstract: A machine learning system is provided to enhance various aspects of machine learning models. In some aspects. a substantially photorealistic three-dimensional (3D) graphical model of an object is accessed and a set of training images of the 3D graphical mode are generated, the set of training images generated to add imperfections and degrade photorealistic quality of the training images. The set of training images are provided as training data to train an artificial neural network.
    Type: Application
    Filed: December 12, 2023
    Publication date: April 18, 2024
    Applicant: MOVIDIUS LTD.
    Inventors: David Macdara Moloney, Jonathan David Byrne, Léonie Raideen Buckley, Xiaofan Xu, Dexmont Alejandro Peña Carillo, Luis M. Rodríguez Martín de la Sierra, Carlos Márquez Rodríguez-Peral, Mi Sun Park, Cormac M. Brick, Alessandro Palla
  • Deep learning system
    Patent number: 11900256
    Abstract: A machine learning system is provided to enhance various aspects of machine learning models. In some aspects, a substantially photorealistic three-dimensional (3D) graphical model of an object is accessed and a set of training images of the 3D graphical mode are generated, the set of training images generated to add imperfections and degrade photorealistic quality of the training images. The set of training images are provided as training data to train an artificial neural network.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: February 13, 2024
    Assignee: Intel Corporation
    Inventors: David Macdara Moloney, Jonathan David Byrne, Léonie Raideen Buckley, Xiaofan Xu, Dexmont Alejandro Peña Carillo, Luis M. Rodríguez Martín de la Sierra, Carlos Márquez Rodríguez-Peral, Mi Sun Park, Cormac M. Brick, Alessandro Palla
  • DEEP LEARNING SYSTEM
    Publication number: 20210201526
    Abstract: A machine learning system is provided to enhance various aspects of machine learning models. In some aspects, a substantially photorealistic three-dimensional (3D) graphical model of an object is accessed and a set of training images of the 3D graphical mode are generated, the set of training images generated to add imperfections and degrade photorealistic quality of the training images. The set of training images are provided as training data to train an artificial neural network.
    Type: Application
    Filed: May 21, 2019
    Publication date: July 1, 2021
    Applicant: Movidius Ltd.
    Inventors: David Macdara Moloney, Jonathan David Byrne, Léonie Raideen Buckley, Xiaofan Xu, Dexmont Alejandro Peña Carillo, Luis M. Rodríguez Martín de la Sierra, Carlos Márquez Rodríguez-Peral, Mi Sun Park, Cormac M. Brick, Alessandro Palla