Patents by Inventor Arthur Salazar

Arthur Salazar 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: 11964209
    Abstract: A machine learning (ML) model is used to identify spam messages and spammers in computer game settings based on learned gamer behavior. An evaluator module receives score(s) from the ML model indicating whether a particular message is spam or other undesired message and when the scores satisfy a threshold, passes the message to a punishment module to determine whether the warn, suspend, or ban the sending account.
    Type: Grant
    Filed: March 17, 2022
    Date of Patent: April 23, 2024
    Assignee: Sony Interactive Entertainment Inc.
    Inventors: Arthur Salazar, Xiaohan Zhang
  • Publication number: 20230311005
    Abstract: A machine learning (ML) model is used to identify spam messages and spammers in computer game settings based on learned gamer behavior. Message text may also be used. An evaluator module receives the score(s) from the ML model(s) indicating whether a particular message is spam and when the score(s) satisfy a threshold, passes the message to a punishment module to determine whether the warn, suspend, or ban the sending account.
    Type: Application
    Filed: March 16, 2022
    Publication date: October 5, 2023
    Inventors: Arthur Salazar, Xiaohan Zhang
  • Publication number: 20230294002
    Abstract: A machine learning (ML) model is used to identify spam messages and spammers in computer game settings based on learned gamer behavior. An evaluator module receives score(s) from the ML model indicating whether a particular message is spam or other undesired message and when the scores satisfy a threshold, passes the message to a punishment module to determine whether the warn, suspend, or ban the sending account.
    Type: Application
    Filed: March 17, 2022
    Publication date: September 21, 2023
    Inventors: Arthur Salazar, Xiaohan Zhang
  • Publication number: 20190143221
    Abstract: The generation and customization of personalized avatars is based on matching a user's image to computer game avatars by identifying which game avatar the user is closest to resembling. A database of avatar images from various games is established and updated as game publishers upload new avatars to it, refreshing the database as new games are released. Users upload their own picture following preset guidelines and image fingerprinting is used, e.g., using perceptual hashing techniques, to detect the closest avatar in similarity to the user. Alternatively, an image of the user can be combined with an image of an avatar to render a morphed avatar image.
    Type: Application
    Filed: November 15, 2017
    Publication date: May 16, 2019
    Inventors: Sreelata Santhosh, Arthur Salazar
  • Patent number: 7496743
    Abstract: A method and mechanism for managing operating system instances in a computing system. A computing system is configured to enable users to model and manage operating system instances. One or more defined operating system instances may be created and stored for future use. Each of the defined operating system instances may include a description of required resources. In addition, the definition of desired and/or optimal resources may be specified. In response to an attempt to realize an operating system instance, a determination is made as to whether resources allocated for the operating system instance are adequate. If the allocated resources are inadequate, further resources may be allocated. In addition, a determination may be made as to whether a standby mode is indicated for the operating system instance. If a standby mode is indicated, the operating system instance may be realized but not booted.
    Type: Grant
    Filed: November 8, 2004
    Date of Patent: February 24, 2009
    Assignee: Sun Microsystems, Inc.
    Inventors: Arthur Salazar, Boman Irani, Roman Zajcew, Scott Carter, David L. Isaman, David Nielsen