Patents by Inventor Alejandro Quintero

Alejandro Quintero 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: 20230408705
    Abstract: The present disclosure is directed to a location tracking system and device that uses spline coefficients, a timing parameter, and a number n of spatial positions to be interpolated in a location message payload rather than the actual satellite coordinates.
    Type: Application
    Filed: June 8, 2023
    Publication date: December 21, 2023
    Inventor: Francisco Alejandro Quintero Ramos
  • Publication number: 20220092044
    Abstract: An entity vector system and method create an entirely real-valued encoding of all dimensions (hereafter referred to as “entity vectors”) for an entity and provides a way to use the relationships among entities along with initial values for entity vectors to create new versions of the entity vectors with more accurate values.
    Type: Application
    Filed: June 15, 2021
    Publication date: March 24, 2022
    Inventors: L. Steven Biafore, Alejandro Quintero, Andrish Reddy, Brendan J. Homnick, Olin Hyde, Bernhard Peters, Jeff Chang, Sanjit Singh, Sean Dwyer
  • Publication number: 20190005078
    Abstract: An entity vector system and method create an entirely real-valued encoding of all dimensions (hereafter referred to as “entity vectors”) for an entity and provides a way to use the relationships among entities along with initial values for entity vectors to create new versions of the entity vectors with more accurate values.
    Type: Application
    Filed: July 3, 2018
    Publication date: January 3, 2019
    Inventors: L. Steven Biafore, Alejandro Quintero, Andrish Reddy, Brendan J. Homnick, Olin Hyde, Bernhard Peters, Jeff Chang, Sanjit Singh, Sean Dwyer
  • Publication number: 20180247246
    Abstract: A system and method for the construction of dynamic, non-homogeneous business to business (B2B) or business to consumer (B2C) networks provides the ability to accurately predict the future behaviors of entities within a dynamic B2B or B2C ecosystem. The system and method may predict, for example in the B2B context, the likelihood that a given Company B will buy a product and/or service from Company A) that has significant value. The system and method creates and updates dynamic networks of various types of entities or “nodes”: companies, organizations, employees, consumers, investors, educational institutions and other entities that are connected via various types of interactions or “arcs”: B2B transactions, B2C transactions, partnerships, affiances, channel relationships, current employment, past employment, investment, co-worker relationships, personal relationships and other relationships.
    Type: Application
    Filed: February 27, 2018
    Publication date: August 30, 2018
    Inventors: L. Steven Biafore, Alejandro Quintero