Digital pen for charging battery and method for operating same

    公开(公告)号:US11409381B2

    公开(公告)日:2022-08-09

    申请号:US17264150

    申请日:2019-08-09

    Abstract: Disclosed is an electronic device. An electronic device according to various embodiments comprises: a housing elongated between a first end portion and a second end portion; a resonant circuit having a coil placed inside the housing; a wireless communication circuit placed inside the housing; a rectifier for rectifying, to a direct-current power, an alternating-current power which is received via the resonant circuit; a battery which is charged by using the direct-current power; a switch for selectively connecting between the rectifier and the battery; a voltage detector which is set to detect the voltage value of the direct-current power and transmit, on the basis of the detected voltage value, a control signal for turning the switch on and off to the switch and the wireless communication circuit, wherein, when an interval of time between the control signals to be sequentially received from the voltage detector is the same or less than a predetermined value, the wireless communication circuit can be set to ignore at least one control signal to be received additionally after the sequentially received control signals. Other various embodiments can be provided.

    Electronic device and method for recognizing stylus pen

    公开(公告)号:US11048399B2

    公开(公告)日:2021-06-29

    申请号:US16535776

    申请日:2019-08-08

    Abstract: Disclosed is an electronic device including a housing, a display panel which is viewable via a part of the housing, and is configured to detect an input by a stylus pen, a processor operatively connected to the display panel, and a memory operatively connected to the processor, wherein the memory is configured to store instructions which, when executed, enable the processor to receive a signal from the stylus pen via the display panel, determine a strength of the signal, a first phase of the signal, and a location of an input by the stylus pen based on at least the received signal, and adjust a threshold value used for determining a type of an input by the stylus pen based on at least the first phase.

    Reducing computations in a neural network

    公开(公告)号:US10460230B2

    公开(公告)日:2019-10-29

    申请号:US15014686

    申请日:2016-02-03

    Abstract: Reducing computations in a neural network may include determining a group including a plurality of convolution kernels of a convolution stage of a neural network. The convolution kernels of the group are similar to one another. A base convolution kernel for the group may be determined. Scaling factors for a plurality of input feature maps processed by the group may be calculated. The convolution stage of the neural network may be modified to calculate a composite input feature map using the scaling factors and apply the base convolution kernel to the composite input feature map.

    Data-optimized neural network traversal

    公开(公告)号:US10417555B2

    公开(公告)日:2019-09-17

    申请号:US15148627

    申请日:2016-05-06

    Abstract: Executing a neural network includes generating an output tile of a first layer of the neural network by processing an input tile to the first layer and storing the output tile of the first layer in an internal memory of a processor. An output tile of a second layer of the neural network can be generated using the processor by processing the output tile of the first layer stored in the internal memory.

    SPIKING NEURAL NETWORK WITH REDUCED MEMORY ACCESS AND REDUCED IN-NETWORK BANDWIDTH CONSUMPTION
    26.
    发明申请
    SPIKING NEURAL NETWORK WITH REDUCED MEMORY ACCESS AND REDUCED IN-NETWORK BANDWIDTH CONSUMPTION 审中-公开
    利用减少的内存访问和减少网络内的网络消费来消除神经网络

    公开(公告)号:US20160364644A1

    公开(公告)日:2016-12-15

    申请号:US15062365

    申请日:2016-03-07

    CPC classification number: G06N3/049

    Abstract: A spiking neural network having a plurality layers partitioned into a plurality of frustums using a first partitioning may be implemented, where each frustum includes one tile of each partitioned layer of the spiking neural network. A first tile of a first layer of the spiking neural network may be read. Using a processor, a first tile of a second layer of the spiking neural network may be generated using the first tile of the first layer while storing intermediate data within an internal memory of the processor. The first tile of the first layer and the first tile of the second layer belong to a same frustum.

    Abstract translation: 可以实现具有使用第一分区划分成多个平截头体的多个层的加标神经网络,其中每个平截头体包括加标神经网络的每个分隔层的一个瓦片。 可以读取尖峰神经网络的第一层的第一瓦片。 使用处理器,可以使用第一层的第一块来生成加标神经网络的第二层的第一块,同时将中间数据存储在处理器的内部存储器中。 第一层的第一块砖和第二层的第一块砖属于相同的截头锥体。

    REDUCING COMPUTATIONS IN A NEURAL NETWORK
    27.
    发明申请
    REDUCING COMPUTATIONS IN A NEURAL NETWORK 审中-公开
    减少神经网络中的计算

    公开(公告)号:US20160358068A1

    公开(公告)日:2016-12-08

    申请号:US15014686

    申请日:2016-02-03

    CPC classification number: G06N3/0454 G06N3/082

    Abstract: Reducing computations in a neural network may include determining a group including a plurality of convolution kernels of a convolution stage of a neural network. The convolution kernels of the group are similar to one another. A base convolution kernel for the group may be determined. Scaling factors for a plurality of input feature maps processed by the group may be calculated. The convolution stage of the neural network may be modified to calculate a composite input feature map using the scaling factors and apply the base convolution kernel to the composite input feature map.

    Abstract translation: 减少神经网络中的计算可以包括确定包括神经网络的卷积级的多个卷积内核的组。 该组的卷积内核彼此相似。 可以确定该组的基本卷积核。 可以计算由组处理的多个输入特征图的缩放因子。 可以修改神经网络的卷积阶段,以使用缩放因子计算复合输入特征图,并将基卷积核应用于复合输入特征图。

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