Patents by Inventor Michael Alexander Green

Michael Alexander Green 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: 11227090
    Abstract: The present invention is a process by which an engineer can provide as input the design, functional verification goals, and other abstract design details, and receive as output an agent which can be integrated into traditional test benches and will generate stimuli to automatically hit the functional coverage goals for the design. The present invention may employ a system which includes a learning configurator, a pre-trained learning test generator, and a test bench. The pre-trained learning test generator is communicatively coupled to the generator and notably comprises a learning algorithm.
    Type: Grant
    Filed: May 21, 2020
    Date of Patent: January 18, 2022
    Inventor: Michael Alexander Green
  • Publication number: 20210264085
    Abstract: The present invention is a process by which an engineer can provide as input the design, functional verification goals, and other abstract design details, and receive as output an agent which can be integrated into traditional test benches and will generate stimuli to automatically hit the functional coverage goals for the design. The present invention may employ a system which includes a learning configurator, a pre-trained learning test generator, and a test bench. The pre-trained learning test generator is communicatively coupled to the generator and notably comprises a learning algorithm.
    Type: Application
    Filed: May 21, 2020
    Publication date: August 26, 2021
    Inventor: Michael Alexander Green
  • Patent number: 10699046
    Abstract: The present invention is a process by which an engineer can provide as input the design, functional verification goals, and other abstract design details, and receive as output an agent which can be integrated into traditional test benches and will generate stimuli to automatically hit the functional coverage goals for the design. The present invention may employ a system which includes a learning configurator, a learning-based test generator, and a test bench. The learning test generator is communicatively coupled to the generator and notably comprises a learning algorithm.
    Type: Grant
    Filed: May 7, 2018
    Date of Patent: June 30, 2020
    Inventor: Michael Alexander Green
  • Publication number: 20180253512
    Abstract: The present invention is a process by which an engineer can provide as input the design, functional verification goals, and other abstract design details, and receive as output an agent which can be integrated into traditional test benches and will generate stimuli to automatically hit the functional coverage goals for the design. The present invention may employ a system which includes a learning configurator, a learning-based test generator, and a test bench. The learning test generator is communicatively coupled to the generator and notably comprises a learning algorithm.
    Type: Application
    Filed: May 7, 2018
    Publication date: September 6, 2018
    Inventor: Michael Alexander Green