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    INTER-PROCESSOR COMMUNICATION CHANNEL INCLUDING POWER-DOWN FUNCTIONALITY
    1.
    发明申请
    INTER-PROCESSOR COMMUNICATION CHANNEL INCLUDING POWER-DOWN FUNCTIONALITY 审中-公开
    内部处理器通信通道，包括掉电功能

    公开(公告)号：WO2010036507A1

    公开(公告)日：2010-04-01

    申请号：PCT/US2009/056210

    申请日：2009-09-08

    Applicant: APPLE INC. ,  MILLET, Timothy ,  MATHEW, Binu K. ,  SCHELL, Stephan Vincent

    Inventor： MILLET, Timothy ,  MATHEW, Binu K. ,  SCHELL, Stephan Vincent

    IPC: G06F1/32

    CPC classification number: G06F1/324 ,  G06F1/04 ,  G06F1/3203 ,  G06F1/3209 ,  G06F1/3287 ,  H04L12/12 ,  Y02D10/171 ,  Y02D50/20 ,  Y02D50/40

    Abstract: Apparatuses and methods are disclosed for implementing an inter-processor communication channel including power-down functionality. In one embodiment, the apparatus may comprise a first integrated circuit (IC), a second IC coupled to the first IC via a communication interface, wherein the first IC is in one or more low power states and unable to monitor the communication interface. The apparatus may further comprise an inter-processor communication (IPC) channel coupled between the first and second ICs, wherein the IPC channel is separate from the communication interface and wherein the second IC generates at least one advisory signal to the first IC via the IPC channel.

    Abstract translation: 公开了用于实现包括断电功能的处理器间通信信道的装置和方法。 在一个实施例中，该装置可以包括第一集成电路（IC），经由通信接口耦合到第一IC的第二IC，其中第一IC处于一个或多个低功率状态并且不能监视通信接口。 该装置还可以包括耦合在第一和第二IC之间的处理器间通信（IPC）信道，其中IPC信道与通信接口分离，并且其中第二IC通过IPC生成至少一个建议信号到第一IC 渠道。

    USING PROXIES TO ENABLE ON-DEVICE MACHINE LEARNING
    2.
    发明申请
    USING PROXIES TO ENABLE ON-DEVICE MACHINE LEARNING 审中-公开
    使用代理来启用设备上的机器学习

    公开(公告)号：WO2018017423A1

    公开(公告)日：2018-01-25

    申请号：PCT/US2017/042215

    申请日：2017-07-14

    Applicant: APPLE INC.

    Inventor： MATHEW, Binu K. ,  NG, Julia C. ,  ZERBE, Jared L.

    IPC: G06N99/00

    CPC classification number: G06N20/00 ,  G06N5/04

    Abstract: Systems and methods are disclosed for a server generating a plurality of proxy prediction models for each of a plurality of applications for use by client devices. Providing a prediction model based on a data distribution that more closely matches the user private data of the actual user of the client device, as opposed to a generic model, can improve the accuracy of predictions and improve the benefits to the user of the client device. The plurality of prediction models are generated by a server and provided to a plurality of clients. For a particular application, a client device can use previously collected private user data to select one of the plurality of prediction models for the application as being a closest matching prediction model to use for a particular user.

    Abstract translation: 公开了系统和方法，用于服务器为多个客户端设备使用的多个应用中的每一个产生多个代理预测模型。 基于更接近匹配客户端设备的实际用户的用户私人数据的数据分布提供预测模型，与通用模型相反，可以提高预测的准确性并改善客户端设备的用户的益处 。 多个预测模型由服务器生成并提供给多个客户端。 对于特定的应用，客户端设备可以使用先前收集的私人用户数据来选择用于该应用的多个预测模型中的一个，作为用于特定用户的最接近的匹配预测模型。

    METHODS AND SYSTEM FOR MANAGING PREDICTIVE MODELS
    3.
    发明申请
    METHODS AND SYSTEM FOR MANAGING PREDICTIVE MODELS 审中-公开
    用于管理预测模型的方法和系统

    公开(公告)号：WO2015183442A1

    公开(公告)日：2015-12-03

    申请号：PCT/US2015/027475

    申请日：2015-04-24

    Applicant: APPLE INC.

    Inventor： MATHEW, Binu K. ,  WAN, Kit-Man ,  KAPOOR, Gaurav

    IPC: G06F17/00 ,  G06F9/44 ,  G06F15/16

    CPC classification number: G06N99/005 ,  G06F11/30 ,  G06F17/00 ,  G06Q10/10 ,  G06Q30/02

    Abstract: Disclosed herein is a technique for implementing a framework that enables application developers to enhance their applications with dynamic adjustment capabilities. Specifically, the framework, when utilized by an application on a mobile computing device that implements the framework, can enable the application to establish predictive models that can be used to identify meaningful behavioral patterns of an individual who uses the application. In turn, the predictive models can be used to preempt the individual's actions and provide an enhanced overall user experience. The framework is configured to interface with other software entities on the mobile computing device that conduct various analyses to identify appropriate times for the application to manage and update its predictive models. Such appropriate times can include, for example, identified periods of time where the individual is not operating the mobile computing device, as well as recognized conditions where power consumption is not a concern.

    Abstract translation: 这里公开了一种用于实现框架的技术，其使得应用开发者能够通过动态调整功能来增强其应用。 具体地说，该框架当被实施框架的移动计算设备上的应用程序使用时，可以使应用程序能够建立可用于识别使用该应用程序的个人的有意义的行为模式的预测模型。 反过来，预测模型可以用于抢占个人的行为并提供增强的整体用户体验。 该框架被配置为与移动计算设备上的其他软件实体进行接口，进行各种分析以确定应用程序管理和更新其预测模型的适当时间。 这种适当的时间可以包括例如个体不操作移动计算设备的识别的时间段以及功率消耗不是关注的公认条件。

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