Patents by Inventor Terran Lane

Terran Lane 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).

  • PROCESSES, MACHINES, AND ARTICLES OF MANUFACTURE RELATED TO MACHINE LEARNING FOR PREDICTING BIOACTIVITY OF COMPOUNDS
    Publication number: 20240145041
    Abstract: The computer system applies machine learning techniques to train a computational model using data representing researched items and their known properties. The computer system applies the trained computational model to data representing the potential candidate items to predict whether such items have such properties. The trained computational model outputs one or more predictions about whether the potential candidate items are likely to have a property from among the plurality of types of properties that the computational model is trained to predict. The computer system allows multiple machine learning experiments to be defined, and then allows predictions from those multiple machine learning experiments to be queried, including accessing aggregate statistics for those predictions. In some implementations, a machine learning experiment can specify a computational model that is an ensemble of multiple models.
    Type: Application
    Filed: October 30, 2023
    Publication date: May 2, 2024
    Inventors: Hok Hei Tam, Varun Shivashankar, Nathan Sanders, Terran Lane, David Kolesky, Mostafa Karimi
  • Integrating multiple data sources for malware classification
    Patent number: 9021589
    Abstract: Disclosed herein are representative embodiments of tools and techniques for classifying programs. According to one exemplary technique, at least one graph representation of at least one dynamic data source of at least one program is generated. Also, at least one graph representation of at least one static data source of the at least one program is generated. Additionally, at least using the at least one graph representation of the at least one dynamic data source and the at least one graph representation of the at least one static data source, the at least one program is classified.
    Type: Grant
    Filed: June 4, 2013
    Date of Patent: April 28, 2015
    Assignee: Los Alamos National Security, LLC
    Inventors: Blake Harrell Anderson, Curtis B. Storlie, Terran Lane
  • INTEGRATING MULTIPLE DATA SOURCES FOR MALWARE CLASSIFICATION
    Publication number: 20130326625
    Abstract: Disclosed herein are representative embodiments of tools and techniques for classifying programs. According to one exemplary technique, at least one graph representation of at least one dynamic data source of at least one program is generated. Also, at least one graph representation of at least one static data source of the at least one program is generated. Additionally, at least using the at least one graph representation of the at least one dynamic data source and the at least one graph representation of the at least one static data source, the at least one program is classified.
    Type: Application
    Filed: June 4, 2013
    Publication date: December 5, 2013
    Applicant: LOS ALAMOS NATIONAL SECURITY, LLC
    Inventors: Blake Harrell Anderson, Curtis B. Storlie, Terran Lane