Method and System for Hosting Transient Virtual Worlds that can be Created, Hosted and Terminated Remotely and Automatically
    2.
    发明申请
    Method and System for Hosting Transient Virtual Worlds that can be Created, Hosted and Terminated Remotely and Automatically 有权
    托管瞬时虚拟世界的方法和系统,可以远程和自动创建,托管和终止

    公开(公告)号:US20140213371A1

    公开(公告)日:2014-07-31

    申请号:US14236904

    申请日:2012-08-03

    Applicant: Siddharth Jain

    Inventor: Siddharth Jain

    Abstract: Embodiments of the invention relate to providing a method and system for presenting users with the ability to host a virtual world especially one that is capable of being used in a game based environment for teaching and learning, and more specifically to improving ease of customization, enabling on-demand-usage and facilitating content sharing for hosting private virtual locations on virtualized servers specifically so that multiple discreet virtual worlds can be hosted (automatically and remotely), started or removed on one or more servers simultaneously and independently of each other without affecting the other hosts.

    Abstract translation: 本发明的实施例涉及提供一种用于向用户呈现托管虚拟世界的能力的方法和系统,特别是能够在用于教学和学习的基于游戏的环境中使用的虚拟世界,更具体地说,提高了定制化的便利性,使得能够 按需使用并促进内容共享,专门用于在虚拟化服务器上​​托管私人虚拟位置,以便可以在一个或多个服务器上同时并且彼此独立地托管(自动和远程),启动或删除多个谨慎的虚拟世界,而不影响 其他主机。

    SECURE AND PRIVATE NEURAL COMPUTATION WITH ERROR CORRECTING CODES

    公开(公告)号:US20210125069A1

    公开(公告)日:2021-04-29

    申请号:US17084627

    申请日:2020-10-29

    Abstract: Computer-aided methods for performing computations using adversarially-robust neural networks is disclosed that includes providing a uncoded neural network comprising a plurality of neurons and associated inputs for each of the plurality of neurons, each neuron configured to perform a calculation according to an activation function. The method further includes transforming, using the computing device, at least one uncoded neuron into a coded neuron by adding, using the computing device, an error correcting code as an additional input to the at least one uncoded neuron, the error correcting code comprising a redundant combination of the associated inputs off the uncoded neuron, and revising, using the computing device, the activation function of the at least one uncoded neuron to accommodate the error correcting code as the additional input.

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