Patents by Inventor Mario Latendresse

Mario Latendresse 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 TRAINING EXAMPLES FOR TRANSLATION OF NATURAL LANGUAGE QUERIES TO EXECUTABLE DATABASE QUERIES
    Publication number: 20240378198
    Abstract: In an example, a method includes, generating, by a machine learning system, one or more formal queries based on data contained in a database repository; generating, by the machine learning system, a natural language query for each formal query of the one or more formal queries to generate pairs of formal queries and corresponding natural language queries by applying a general grammar for a language of each formal query; and training, by the machine learning system, a neural network configured to translate natural language queries into formal queries using the pairs of the formal queries and corresponding natural language queries generated by the machine learning system.
    Type: Application
    Filed: December 20, 2023
    Publication date: November 14, 2024
    Inventors: Mario Latendresse, John Cadigan
  • COMPUTATIONAL GENERATION OF CHEMICAL SYNTHESIS ROUTES AND METHODS
    Publication number: 20240257921
    Abstract: Retrosynthetic methods are described for determining one or more optimal synthetic routes to generate a target compound.
    Type: Application
    Filed: April 15, 2024
    Publication date: August 1, 2024
    Inventors: Peter B. Madrid, Nathan Collins, Mario Latendresse, Jeremiah Malerich, Markus Krummenacker
  • Computational generation of chemical synthesis routes and methods
    Patent number: 11961595
    Abstract: Retrosynthetic methods are described for determining one or more optimal synthetic routes to generate a target compound.
    Type: Grant
    Filed: January 30, 2019
    Date of Patent: April 16, 2024
    Assignee: SRI INTERNATIONAL
    Inventors: Peter Madrid, Nathan Collins, Mario Latendresse, Jeremiah Malerich, Markus Krummenacker
  • COMPUTATIONAL GENERATION OF CHEMICAL SYNTHESIS ROUTES AND METHODS
    Publication number: 20210065851
    Abstract: Retrosynthetic methods are described for determining one or more optimal synthetic routes to generate a target compound.
    Type: Application
    Filed: January 30, 2019
    Publication date: March 4, 2021
    Inventors: Peter Madrid, Nathan Collins, Mario Latendresse, Jeremiah Malerich, Markus Krummenacker