Patents by Inventor Martin Elisco

Martin Elisco 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).

  • Patent number: 11983498
    Abstract: A system and method for natural language processing for document sequences comprises a computing device configured to train a neural network as a function of a corpus of documents, wherein training comprises receiving the corpus of documents, identifying significant terms, and tuning, as a function of the corpus of documents, the neural network to generate a plurality of vectors for each significant term of the plurality of significant terms, a vector in a vector space representing semantic relationships between the significant terms and semantic units in the corpus of documents, receive a current document sequence including a plurality of documents in a sequential order, map a plurality of mapped terms of the plurality of significant terms to the plurality of documents as a function of the neural network and the plurality of vectors, and generate a plurality of timelines as a function of the sequential order and the mapped terms.
    Type: Grant
    Filed: March 18, 2021
    Date of Patent: May 14, 2024
    Assignee: Augmented intelligence Technologies, Inc.
    Inventors: Martin Elisco, Jim Lindstrom, Logan Courtney
  • Publication number: 20220300711
    Abstract: A system and method for natural language processing for document sequences comprises a computing device configured to train a neural network as a function of a corpus of documents, wherein training comprises receiving the corpus of documents, identifying significant terms, and tuning, as a function of the corpus of documents, the neural network to generate a plurality of vectors for each significant term of the plurality of significant terms, a vector in a vector space representing semantic relationships between the significant terms and semantic units in the corpus of documents, receive a current document sequence including a plurality of documents in a sequential order, map a plurality of mapped terms of the plurality of significant terms to the plurality of documents as a function of the neural network and the plurality of vectors, and generate a plurality of timelines as a function of the sequential order and the mapped terms.
    Type: Application
    Filed: March 18, 2021
    Publication date: September 22, 2022
    Applicant: Augmented Intelligence Technologies, Inc.
    Inventors: Martin Elisco, Jim Lindstrom, Logan Courtney
  • Publication number: 20130040662
    Abstract: A portable communication device having a processor, a battery with a battery sensor, a display screen and a proximity sensor. The processor receives a signal from the display screen indicating whether the display screen is in a disabled state. The processor also receives a signal from the battery sensor indicating the remaining charge of the battery and the processor compares the remaining charge of the battery to a low power threshold. The processor also receives a signal indicating whether the proximity sensor is uncovered. If the display screen is in a disabled state, the remaining charge exceeds the low power threshold and the proximity sensor is uncovered, the device displays content. In certain embodiments, the device transmits a signal identifying the location of the device. In response, the device receives content based on the location of the device and stores the content in memory, filling a queue.
    Type: Application
    Filed: August 13, 2012
    Publication date: February 14, 2013
    Inventor: Martin Elisco