Patents by Inventor Mohsen Sardari

Mohsen Sardari 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: 10848805
    Abstract: Methods for providing contextual video recommendations within a video game are provided. In one aspect, a method includes executing an application that uses a rendering engine. The method also includes determining that a video recommendation threshold has been met. The method also includes providing a current contextual state of the application to a server such that the server selects a video from a plurality of videos based on the provided current contextual state and an index, wherein the index includes output from a vision model applied on the plurality of videos, and wherein the vision model is trained on footage generated by the rendering engine. The method also includes receiving a reference to the selected video from the server. The method also includes providing for display, via the reference, the selected video within a user interface of the application. Systems and machine-readable media are also provided.
    Type: Grant
    Filed: March 28, 2018
    Date of Patent: November 24, 2020
    Assignee: Electronic Arts Inc.
    Inventors: Mohamed Marwan Abdel Magid Mattar, Bhargav Rajendra, Mohsen Sardari, John Kolen, Navid Aghdaie, Kazi Atif-Uz Zaman, Kenneth Alan Moss
  • Patent number: 10818070
    Abstract: Embodiments of the systems and methods described herein provide a virtual object aging system. The virtual object aging system can utilize artificial intelligence to modify virtual objects within a video game to age and/or deteriorate for a certain time period. The virtual object aging system can be used to determine erosion, melting ice, and/or other environmental effects on virtual objects within the game. The virtual object aging system can apply aging, rust, weathering, and/or other effects that cause persistent change to object meshes and textures.
    Type: Grant
    Filed: March 27, 2019
    Date of Patent: October 27, 2020
    Assignee: Electronic Arts Inc.
    Inventors: Han Liu, Mohsen Sardari, Harold Henry Chaput, Navid Aghdaie, Kazi Atif-Uz Zaman, Kenneth Alan Moss
  • Patent number: 10807004
    Abstract: Embodiments of systems presented herein may perform automatic granular difficulty adjustment. In some embodiments, the difficulty adjustment is undetectable by a user. Further, embodiments of systems disclosed herein can review historical user activity data with respect to one or more video games to generate a game retention prediction model that predicts an indication of an expected duration of game play. The game retention prediction model may be applied to a user's activity data to determine an indication of the user's expected duration of game play. Based on the determined expected duration of game play, the difficulty level of the video game may be automatically adjusted.
    Type: Grant
    Filed: May 2, 2019
    Date of Patent: October 20, 2020
    Assignee: Electronic Arts Inc.
    Inventors: Navid Aghdaie, John Kolen, Mohamed Marwan Mattar, Mohsen Sardari, Su Xue, Kazi Atif-Uz Zaman, Kenneth Alan Moss
  • Patent number: 10799798
    Abstract: Embodiments of the systems and methods described herein can automatically measure the difficulty metrics associated with various aspects of a video game using an artificial intelligence system. The artificial intelligence system may include multiple game agents. Telemetry data associated with the gameplay of each game agent may be recorded while the game application is automatically executed by the game agents. The telemetry data may be communicated to a data analysis system which can calculate game difficulty metrics for various aspects of the game. The data analysis system can determine game difficulty associated with the various aspects based on the game difficulty metrics. The results from the data analysis system may be visualized and communicated to a game developer for updating the operations of the video game.
    Type: Grant
    Filed: June 27, 2019
    Date of Patent: October 13, 2020
    Assignee: ELECTRONIC ARTS INC.
    Inventors: Navid Aghdaie, John Kolen, Mohamed Marwan Mattar, Mohsen Sardari, Su Xue, Kazi Atif-Uz Zaman, Meng Wu
  • Publication number: 20200306643
    Abstract: Systems and methods are disclosed for converting a player-controlled character or virtual entity in a video game to at least temporarily be under emulated control when certain criteria is met, such as when the player's device has lost its network connection to a game server. The character or virtual entity may continue to behave in the game in a manner that emulates or mimics play of the actual player until the end of the game session or until the underlying connection problem or other issue is resolved, such that other players participating in the game session have the same or similar gameplay experience as they would have had if the disconnected player had continued to play.
    Type: Application
    Filed: March 27, 2019
    Publication date: October 1, 2020
    Inventors: Igor Borovikov, Mohsen Sardari, John Kolen, Navid Aghdaie, Kazi Atif-Uz Zaman, Kenneth Alan Moss
  • Publication number: 20200312007
    Abstract: Embodiments of the systems and methods described herein provide a virtual object aging system. The virtual object aging system can utilize artificial intelligence to modify virtual objects within a video game to age and/or deteriorate for a certain time period. The virtual object aging system can be used to determine erosion, melting ice, and/or other environmental effects on virtual objects within the game. The virtual object aging system can apply aging, rust, weathering, and/or other effects that cause persistent change to object meshes and textures.
    Type: Application
    Filed: March 27, 2019
    Publication date: October 1, 2020
    Inventors: Han Liu, Mohsen Sardari, Harold Henry Chaput, Navid Aghdaie, Kazi Atif-Uz Zaman, Kenneth Alan Moss
  • Publication number: 20200311239
    Abstract: Embodiments presented herein use an audio based authentication system for pairing a user account with an audio-based periphery computing system. The audio-based authentication system allows a user to interface with the periphery device through a user computing device. The user can utilize a previously authenticated user account on the user computing device in order to facilitate the pairing of the audio-based periphery computing system with the user account.
    Type: Application
    Filed: April 13, 2020
    Publication date: October 1, 2020
    Inventors: Mohsen Sardari, Kenneth Alan Moss, Kazi Atif-Uz Zaman, Navid Aghdaie, John Kolen, Mohamed Marwan Mattar
  • Publication number: 20200312003
    Abstract: Systems and methods for generating a customized virtual animal character are disclosed. A system may obtain video data or other media depicting a real animal, and then may provide the obtained media to one or more machine learning models configured to learn visual appearance and behavior information regarding the particular animal depicted in the video or other media. The system may then generate a custom visual appearance model and a custom behavior model corresponding to the real animal, which may subsequently be used to render, within a virtual environment of a video game, a virtual animal character that resembles the real animal in appearance and in-game behavior.
    Type: Application
    Filed: March 27, 2019
    Publication date: October 1, 2020
    Inventors: Igor Borovikov, Mohsen Sardari, Harold Henry Chaput, Navid Aghdaie, Kazi Atif-Uz Zaman, Kenneth Alan Moss
  • Publication number: 20200312042
    Abstract: Embodiments of the systems and methods described herein provide a three dimensional reconstruction system that can receive an image from a camera, and then utilize machine learning algorithms to identify objects in the image. The three dimensional reconstruction system can identify a geolocation of a user, identify features of the surrounding area, such as structures or geographic features, and reconstruct the scene including the identified features. The three dimensional reconstruction system can generate three dimensional object data for the features and/or objects, modify the three dimensional objects, arrange the objects in a scene, and render a two dimensional view of the scene.
    Type: Application
    Filed: March 27, 2019
    Publication date: October 1, 2020
    Inventors: Mohsen Sardari, John Kolen, Navid Aghdaie, Kazi Atif-Uz Zaman, Kenneth Alan Moss
  • Publication number: 20200298131
    Abstract: Using user-specific prediction models, it is possible to present an individualized view of messages generated by users playing a shared instance of a video game. Further, users with different subjective views of what is offensive may be presented with different forms or annotations of a message. By personalizing the views of messages generated by users, it is possible to reduce or eliminate the toxic environment that sometimes forms when players, who may be strangers to each other and may be located in disparate locations play a shared instance of a video game. Further, the user-specific prediction models may be adapted to filter or otherwise annotate other undesirable messages that may not be offensive, such as a message generated by one user in a video game that includes a solution to an in-game puzzle that another user may not desire to read as it may spoil the challenge for the user.
    Type: Application
    Filed: March 20, 2019
    Publication date: September 24, 2020
    Inventors: Jervis Pinto, Polina Igorevna Gouskova, Chetan Nagaraja Rao, Farah Mariam Ali, Mohsen Sardari, John Kolen, Navid Aghdaie, Kazi Atif-Uz Zaman
  • Publication number: 20200269139
    Abstract: Embodiments of systems presented herein may identify users to include in a match plan. A parameter model may be generated to predict the retention time of a set of users. A queue of potential users, a set of teammates, and/or opponents may be selected from a queue of waiting users. User information for the set of teammates and/or opponents may be provided to the parameter model to generate a predicted retention time. The set of teammates and/or opponents may be approved if the predicted retention time meets a predetermined threshold. Advantageously, by creating a match plan based on retention rates, the engagement and/or retention level for a number of users may be improved compared to existing multiplayer matching systems.
    Type: Application
    Filed: March 9, 2020
    Publication date: August 27, 2020
    Inventors: Navid Aghdaie, John Kolen, Mohamed Marwan Mattar, Mohsen Sardari, Su Xue, Kazi Atif-Uz Zaman
  • Publication number: 20200129851
    Abstract: Using voice recognition, a user can interact with a companion application to control a video game from a mobile device. Advantageously, the user can interact with the companion application when the video game is unavailable because, for example, of the user's location. Moreover, machine learning may be used to facilitate generating voice responses to user utterances that are predicted to improve or maintain a user's level of engagement with the companion application, or its corresponding video game.
    Type: Application
    Filed: September 30, 2019
    Publication date: April 30, 2020
    Inventors: Mohsen Sardari, Kenneth Alan Moss, Kazi Atif-Uz Zaman, Navid Aghdaie, John Kolen, Mohamed Marwan Mattar
  • Publication number: 20200129862
    Abstract: Embodiments of the systems and methods described herein provide game terrain generation system that can generate height field data from a sketch of graphical inputs from a user via a graphical user interface. The game terrain generation system can use a model, such as a trained neural network, to apply macro and micro topological features on top of the height field data to generate game terrain data. The game terrain generation system can identify boundaries between different styles of terrain and generate transitions between the styles to create a more realistic terrain boundary.
    Type: Application
    Filed: February 8, 2019
    Publication date: April 30, 2020
    Inventors: Han Liu, Yiwei Zhao, Mathieu Guindon, Mohsen Sardari, Harold Henry Chaput, Navid Aghdaie, Kazi Atif-Uz Zaman, Kenneth Alan Moss
  • Patent number: 10621317
    Abstract: Embodiments presented herein use an audio based authentication system for pairing a user account with an audio-based periphery computing system. The audio-based authentication system allows a user to interface with the periphery device through a user computing device. The user can utilize a previously authenticated user account on the user computing device in order to facilitate the pairing of the audio-based periphery computing system with the user account.
    Type: Grant
    Filed: September 14, 2017
    Date of Patent: April 14, 2020
    Assignee: Electronic Arts Inc.
    Inventors: Mohsen Sardari, Kenneth Alan Moss, Kazi Atif-Uz Zaman, Navid Aghdaie, John Kolen, Mohamed Marwan Mattar
  • Patent number: 10610786
    Abstract: Embodiments of systems presented herein may identify users to include in a match plan. A parameter model may be generated to predict the retention time of a set of users. A queue of potential users, a set of teammates, and/or opponents may be selected from a queue of waiting users. User information for the set of teammates and/or opponents may be provided to the parameter model to generate a predicted retention time. The set of teammates and/or opponents may be approved if the predicted retention time meets a predetermined threshold. Advantageously, by creating a match plan based on retention rates, the engagement and/or retention level for a number of users may be improved compared to existing multiplayer matching systems.
    Type: Grant
    Filed: May 30, 2018
    Date of Patent: April 7, 2020
    Assignee: Electronic Arts Inc.
    Inventors: Navid Aghdaie, John Kolen, Mohamed Marwan Mattar, Mohsen Sardari, Su Xue, Kazi Atif-Uz Zaman
  • Publication number: 20200078685
    Abstract: Embodiments presented herein include systems and methods for performing dynamic difficulty adjustment. Further, embodiments disclosed herein perform dynamic difficulty adjustment using processes that may not be detectable or are more difficult to detect by users compared to static and/or existing difficulty adjustment processes. In some embodiments, historical user information utilized by a machine learning system to generate a prediction model that predicts an expected duration of game play, such as for example, an expected churn rate, a retention rate, the length of time a user is expected to play the game, or an indication of the user's expected game play time relative to a historical set of users who have previously played the game. Before or during game play, the prediction model can be applied to information about the user to predict the user's expected duration of game play.
    Type: Application
    Filed: July 22, 2019
    Publication date: March 12, 2020
    Inventors: Navid Aghdaie, John Kolen, Mohamed Marwan Mattar, Mohsen Sardari, Su Xue, Kazi Atif-Uz Zaman, Meng Wu
  • Publication number: 20190388789
    Abstract: Embodiments of systems presented herein may perform automatic granular difficulty adjustment. In some embodiments, the difficulty adjustment is undetectable by a user. Further, embodiments of systems disclosed herein can review historical user activity data with respect to one or more video games to generate a game retention prediction model that predicts an indication of an expected duration of game play. The game retention prediction model may be applied to a user's activity data to determine an indication of the user's expected duration of game play. Based on the determined expected duration of game play, the difficulty level of the video game may be automatically adjusted.
    Type: Application
    Filed: May 2, 2019
    Publication date: December 26, 2019
    Inventors: Navid Aghdaie, John Kolen, Mohamed Marwan Mattar, Mohsen Sardari, Su Xue, Kazi Atif-Uz Zaman, Kenneth Alan Moss
  • Publication number: 20190381407
    Abstract: Embodiments of the systems and methods described herein can automatically measure the difficulty metrics associated with various aspects of a video game using an artificial intelligence system. The artificial intelligence system may include multiple game agents. Telemetry data associated with the gameplay of each game agent may be recorded while the game application is automatically executed by the game agents. The telemetry data may be communicated to a data analysis system which can calculate game difficulty metrics for various aspects of the game. The data analysis system can determine game difficulty associated with the various aspects based on the game difficulty metrics. The results from the data analysis system may be visualized and communicated to a game developer for updating the operations of the video game.
    Type: Application
    Filed: June 27, 2019
    Publication date: December 19, 2019
    Inventors: Navid Aghdaie, John Kolen, Mohamed Marwan Mattar, Mohsen Sardari, Su Xue, Kazi Atif-Uz Zaman, Meng Wu
  • Patent number: 10511695
    Abstract: Certain implementations of the disclosed technology may include methods and computing systems for memory-assisted compression of network packets using packet-level clustering. According to an example implementation, a method is provided. The method may include vectorizing a plurality of data packets stored in a memory, calculating respective distances between each of the respective vectorized data packets, clustering the plurality of data packets into a plurality of data packet clusters, obtaining a sample data packet to be compressed, identifying a training data packet cluster from among the plurality of data packet clusters, and compressing the sample data packet using a compression algorithm.
    Type: Grant
    Filed: June 23, 2016
    Date of Patent: December 17, 2019
    Assignee: Georgia Tech Research Corporation
    Inventors: Faramarz Fekri, Mohsen Sardari, Ahmad Beirami, Liling Huang, Afshin Abdi
  • Publication number: 20190358545
    Abstract: Embodiments of the present disclosure provide a tutorial system that can aid a user in performing various game commands in response to different game states in a virtual game environment. As the user plays the game, various game states may be encountered. A tutorial engine may, based on a current game state, determine one or more game commands to be recommended to the user, based on historical information of the user and a game state model, wherein the game state model maintains associations between game states and different segments of users. The user is recommended relevant game commands during the normal course of gameplay, based on their own gameplay history and on game commands commonly performed by other users of the game application.
    Type: Application
    Filed: May 6, 2019
    Publication date: November 28, 2019
    Inventors: Navid Aghdaie, John Kolen, Mohamed Marwan Mattar, Mohsen Sardari, Su Xue, Kazi Atif-Uz Zaman