Patents by Inventor Mohsen Alimomeni

Mohsen Alimomeni 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: 11734547
    Abstract: This specification describes a computer-implemented method for testing the performance of a video game server. The method comprises initializing a recurrent neural network. The recurrent neural network is trained based on requests sent from one or more client devices to the video game server. The initializing comprises inputting a start token into the recurrent neural network. An output distribution for a first-time step is generated, as an output of the recurrent neural network. The output distribution comprises a probability of generating each of a set of one or more requests to the video game server, in addition to a probability of generating a stop token. A first request from the set of one or more requests is selected based on the output distribution.
    Type: Grant
    Filed: September 8, 2020
    Date of Patent: August 22, 2023
    Assignee: ELECTRONIC ARTS INC.
    Inventors: Matthew Luther, Mohsen Alimomeni
  • Publication number: 20220076126
    Abstract: This specification describes a computer-implemented method for testing the performance of a video game server. The method comprises initializing a recurrent neural network. The recurrent neural network is trained based on requests sent from one or more client devices to the video game server. The initializing comprises inputting a start token into the recurrent neural network. An output distribution for a first-time step is generated, as an output of the recurrent neural network. The output distribution comprises a probability of generating each of a set of one or more requests to the video game server, in addition to a probability of generating a stop token. A first request from the set of one or more requests is selected based on the output distribution.
    Type: Application
    Filed: September 8, 2020
    Publication date: March 10, 2022
    Inventors: Matthew Luther, Mohsen Alimomeni