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    Dynamic operation allocation for neural networks
    42.
    发明授权
    Dynamic operation allocation for neural networks 有权

    公开(公告)号：US10585703B2

    公开(公告)日：2020-03-10

    申请号：US15721716

    申请日：2017-09-29

    Applicant: Apple Inc.

    Inventor： Francesco Rossi ,  Gaurav Kapoor ,  Michael R. Siracusa ,  William B. March

    IPC: G06F8/41 ,  G06F9/50 ,  G06N3/063 ,  G06N3/02

    Abstract: The subject technology provides for dynamic task allocation for neural network models. The subject technology determines an operation performed at a node of a neural network model. The subject technology assigns an annotation to indicate whether the operation is better performed on a CPU or a GPU based at least in part on hardware capabilities of a target platform. The subject technology determines whether the neural network model includes a second layer. The subject technology, in response to determining that the neural network model includes a second layer, for each node of the second layer of the neural network model, determines a second operation performed at the node. Further the subject technology assigns a second annotation to indicate whether the second operation is better performed on the CPU or the GPU based at least in part on the hardware capabilities of the target platform.

    Learning new words
    46.
    发明授权
    Learning new words 有权

    公开(公告)号：US10133725B2

    公开(公告)日：2018-11-20

    申请号：US15477921

    申请日：2017-04-03

    Applicant: Apple Inc.

    Inventor： Abhradeep Guha Thakurta ,  Andrew H. Vyrros ,  Umesh S. Vaishampayan ,  Gaurav Kapoor ,  Julien Freudiger ,  Vivek Rangarajan Sridhar ,  Doug Davidson

    IPC: G06F17/27 ,  G06N99/00 ,  G06F17/16 ,  G06F17/30

    Abstract: Systems and methods are disclosed for a server learning new words generated by user client devices in a crowdsourced manner while maintaining local differential privacy of client devices. A client device can determine that a word typed on the client device is a new word that is not contained in a dictionary or asset catalog on the client device. New words can be grouped in classifications such as entertainment, health, finance, etc. A differential privacy system on the client device can comprise a privacy budget for each classification of new words. If there is privacy budget available for the classification, then one or more new terms in a classification can be sent to new term learning server, and the privacy budget for the classification reduced. The privacy budget can be periodically replenished.

    Smart advice to charge notification
    47.
    发明授权
    Smart advice to charge notification 有权

    公开(公告)号：US10083105B2

    公开(公告)日：2018-09-25

    申请号：US14871856

    申请日：2015-09-30

    Applicant: Apple Inc.

    Inventor： Cyril de la Cropte de Chantérac ,  Phillip Stanley-Marbell ,  Kartik Venkatraman ,  Gaurav Kapoor

    IPC: H02J7/00 ,  G06F11/32 ,  G06F1/32

    CPC classification number: G06F11/327 ,  G06F1/3203 ,  G06F1/3212 ,  Y02D10/174

    Abstract: Systems and methods are disclosed for advising a user when an energy storage device in a computing system needs charging. State of charge data of the energy storage device can be measured and stored at regular intervals. The historic state of charge data can be queried over a plurality of intervals and a state of charge curve generated that is representative of a user's charging habits over time. The state of charge curve can be used to generate a rate of charge histogram and an acceleration of charge histogram. These can be used to predict when a user will charge next, and whether the energy storage device will have an amount of energy below a predetermined threshold amount before the next predicted charging time. A first device can determine when a second device typically charges and whether the energy storage device in the second device will have an amount of energy below the predetermined threshold amount before the next predicted charge time for the second device. The first device can generate an advice to charge notification to the user on either, or both, devices.

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