Patents by Inventor Stephane Major

Stephane Major 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).

  • Generating a version vector for a data object in a distributed system to determine whether the data object is current
    Patent number: 12625880
    Abstract: A distributed system includes multiple servers that various client devices access. Each server maintains a copy of a data object for access to the data object regardless of which server is accessed. Each server may modify a local copy of the data object, with the modifications propagated to other servers. A server generates a local version vector that includes pairs of a server identifier from whom modifications were received and a server-specific version identifier for the modifications. When a client device retrieves the data object, the client device transmits a client version vector for the data object including pairs of server identifiers and server-specific version identifiers from which the client device received version events for modifications to the data object. The server compares the local version vector to the client version vector to determine whether to transmit a local copy of the data object to the client device.
    Type: Grant
    Filed: February 21, 2025
    Date of Patent: May 12, 2026
    Assignee: Mango Technologies, Inc.
    Inventors: Jiang Wu, Maxime Lasserre, Stephane Major
  • SYSTEMS AND METHODS FOR AUTOMATING DATA SCIENCE MACHINE LEARNING ANALYTICAL WORKFLOWS
    Publication number: 20220076165
    Abstract: Systems and methods for automating data science machine learning using analytical workflows are disclosed that provide for user interaction and iterative analysis including automated suggestions based on at least one analysis of a dataset.
    Type: Application
    Filed: September 20, 2021
    Publication date: March 10, 2022
    Inventors: Andrew M. Minkin, Mark McNally, William Knight, Stephane Major, Richard Lamoreaux, Leandro Hernandez
  • SYSTEMS AND METHODS FOR AUTOMATING DATA SCIENCE MACHINE LEARNING ANALYTICAL WORKFLOWS
    Publication number: 20180165604
    Abstract: Systems and methods for automating data science machine learning using analytical workflows are disclosed that provide for user interaction and iterative analysis including automated suggestions based on at least one analysis of a dataset.
    Type: Application
    Filed: December 8, 2017
    Publication date: June 14, 2018
    Inventors: Andrew M. Minkin, Mark McNally, William Knight, Stephane Major, Richard Lamoreaux, Leandro Hernandez