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    Method and system of performing convolution in neural networks with variable dilation rate
    1.
    发明授权
    Method and system of performing convolution in neural networks with variable dilation rate 有权

    公开(公告)号：US11423251B2

    公开(公告)日：2022-08-23

    申请号：US16733314

    申请日：2020-01-03

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Dinesh Kumar Yadav ,  Ankur Deshwal ,  Saptarsi Das ,  Junwoo Jang ,  Sehwan Lee

    IPC: G06K9/62 ,  G06N3/08 ,  G06T1/00

    Abstract: A method of performing convolution in a neural network with variable dilation rate is provided. The method includes receiving a size of a first kernel and a dilation rate, determining at least one of size of one or more disintegrated kernels based on the size of the first kernel, a baseline architecture of a memory and the dilation rate, determining an address of one or more blocks of an input image based on the dilation rate, and one or more parameters associated with a size of the input image and the memory. Thereafter, the one or more blocks of the input image and the one or more disintegrated kernels are fetched from the memory, and an output image is obtained based on convolution of each of the one or more disintegrated kernels and the one or more blocks of the input image.

    System and method for information acquisition of wireless sensor network data as cloud based service
    2.
    发明授权
    System and method for information acquisition of wireless sensor network data as cloud based service 有权
    将无线传感器网络数据信息采集的系统和方法作为云服务

    公开(公告)号：US09547509B2

    公开(公告)日：2017-01-17

    申请号：US13772021

    申请日：2013-02-20

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Soma Kohli ,  Ankur Deshwal ,  Chethan K. Puttanna

    IPC: G06F9/45 ,  G06F9/455 ,  H04W4/00

    CPC classification number: G06F9/455 ,  G06F9/45558 ,  G06F2009/45562 ,  H04W4/38 ,  H04W4/60

    Abstract: A system and a method for information acquisition of Wireless Sensor Network (WSN) data as a cloud based service are provided. An apparatus in the system including a WSN, a service cloud, and a device, includes a virtual sensor configured to receive data from a physical sensor in the WSN. The apparatus further includes a virtual sensor controller configured to receive a request for the data from the service cloud or the device, and spawn a virtual machine (VM) based on the request. The apparatus further includes the VM configured to transmit the data to the service cloud or the device.

    Abstract translation: 提供了一种用于将无线传感器网络（WSN）数据作为基于云服务的信息获取的系统和方法。 包括WSN，服务云和设备的系统中的装置包括被配置为从WSN中的物理传感器接收数据的虚拟传感器。 该装置还包括虚拟传感器控制器，其被配置为从服务云或设备接收对数据的请求，并且基于该请求产生虚拟机（VM）。 该装置还包括被配置为将数据发送到服务云或设备的VM。

    Method and system with deep learning model generation
    5.
    发明授权
    Method and system with deep learning model generation 有权

    公开(公告)号：US12165064B2

    公开(公告)日：2024-12-10

    申请号：US16549299

    申请日：2019-08-23

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Yeshwanth Venkatesha ,  Sundeep Krishnadasan ,  Ankur Deshwal

    IPC: G06N3/082 ,  G06N3/04

    Abstract: Provided is a method and system with deep learning model generation. The method includes identifying a plurality of connections in a neural network that is pre-associated with a deep learning model, generating a plurality of pruned neural networks by pruning different sets of one or more of the plurality of connections to respectively generate each of the plurality of pruned neural networks, generating a plurality of intermediate deep learning models by generating a respective intermediate deep learning model corresponding to each of the plurality of pruned neural networks, and selecting one of the plurality of intermediate deep learning models, having a determined greatest accuracy among the plurality of intermediate deep learning models, to be an optimized deep learning model.

    APPARATUS WITH ACCELERATED MACHINE LEARNING PROCESSING
    6.
    发明申请
    APPARATUS WITH ACCELERATED MACHINE LEARNING PROCESSING 有权

    公开(公告)号：US20220036243A1

    公开(公告)日：2022-02-03

    申请号：US17147858

    申请日：2021-01-13

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Saptarsi Das ,  Sabitha Kusuma ,  Arnab Roy ,  Ankur Deshwal ,  Kiran Kolar Chandrasekharan ,  Sehwan Lee

    IPC: G06N20/10 ,  G06F15/80 ,  G06F9/30 ,  G06F17/16

    Abstract: An apparatus includes a global memory and a systolic array. The global memory is configured to store and provide an input feature map (IFM) vector stream from an IFM tensor and a kernel vector stream from a kernel tensor. The systolic array is configured to receive the IFM vector stream and the kernel vector stream from the global memory. The systolic array is on-chip together with the global memory. The systolic array includes a plurality of processing elements (PEs) each having a plurality of vector units, each of the plurality of vector units being configured to perform a dot-product operation on at least one IFM vector of the IFM vector stream and at least one kernel vector of the kernel vector stream per unit clock cycle to generate a plurality of output feature maps (OFMs).

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