Patents by Inventor Preethi Ganeshan

Preethi Ganeshan 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: 10841236
    Abstract: A system can manage distribution of computing jobs among a plurality of third-party network or cloud computing providers to maximize utilization of available computing resources purchased or otherwise obtained by an entity. The system can determine a dependency relationship between jobs and distribute the jobs among the network computing providers based at least in part on the dependency relationship between the jobs. Moreover, the system can use machine learning algorithms to generate one or more prediction algorithms to predict future computing resource usage demands for performing a set of scheduled and unscheduled jobs.
    Type: Grant
    Filed: March 30, 2018
    Date of Patent: November 17, 2020
    Assignee: Electronic Arts Inc.
    Inventors: Yu Jin, Sundeep Narravula, Navid Aghdaie, Kazi Atif-Uz Zaman, Preethi Ganeshan, Tushar Agarwal, Cong Feng, Drew John Zagieboylo
  • Patent number: 10835823
    Abstract: Systems presented herein may automatically and dynamically modify a video game being played by a user based at least in part on a determined or predicted emotional state of a user. Using one or more machine learning algorithms, a parameter function can be generated that uses sensory and/or biometric data obtained by monitoring a user playing a video game. Based on the sensory and/or biometric data, an emotional state of the user can be predicted. For example, it can be determined whether a user is likely to be bored, happy, or frightened while playing the video game. Based at least in part on the determination of the user's emotional state, the video game can be modified to improve positive feelings and reduce negative feelings occurring in response to the video game.
    Type: Grant
    Filed: December 27, 2018
    Date of Patent: November 17, 2020
    Assignee: Electronic Arts Inc.
    Inventors: Chinmay Mukund Sumant, Nitish Victor, Tushar Agarwal, Preethi Ganeshan, Sundeep Narravula, Yu Jin, John Kolen, Navid Aghdaie, Kazi Atif-Uz Zaman
  • Publication number: 20200206631
    Abstract: Systems presented herein may automatically and dynamically modify a video game being played by a user based at least in part on a determined or predicted emotional state of a user. Using one or more machine learning algorithms, a parameter function can be generated that uses sensory and/or biometric data obtained by monitoring a user playing a video game. Based on the sensory and/or biometric data, an emotional state of the user can be predicted. For example, it can be determined whether a user is likely to be bored, happy, or frightened while playing the video game. Based at least in part on the determination of the user's emotional state, the video game can be modified to improve positive feelings and reduce negative feelings occurring in response to the video game.
    Type: Application
    Filed: December 27, 2018
    Publication date: July 2, 2020
    Inventors: Chinmay Mukund Sumant, Nitish Viktor, Tushar Agarwal, Preethi Ganeshan, Sundeep Narravula, Yu Jin, John Kolen, Navid Aghdaie, Kazi Atif-Uz Zaman