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    Identity recognition with living signatures from multiple devices
    22.
    发明授权
    Identity recognition with living signatures from multiple devices 有权

    公开(公告)号：US10277595B2

    公开(公告)日：2019-04-30

    申请号：US14966314

    申请日：2015-12-11

    Applicant: International Business Machines Corporation

    Inventor： Jui-Hsin Lai ,  Yinglong Xia

    IPC: H04L29/06 ,  G06F21/64

    Abstract: Identity recognition is achieved using user's living signatures, such as a heartbeat signal, from multiple devices. A user requests identity recognition for using a first registered device, such as a mobile device. The request is provided to a cloud. When the cloud confirms the mobile device is a registered device, the cloud directs the first registered device to upload the user living signature to the cloud. The cloud also sends a request to a user second registered device to upload the user living signature from the second registered device to the cloud. The user second registered device may be a headband monitor, watch, Google glasses, or the like capable of monitoring and uploading the user living signature to the cloud. The cloud compares both living signature signals from the first registered device and from the second registered device. If the signals are matched, the user identity is confirmed. If the signals are not matched, the user identity is not confirmed. Preferably the first registered device is a mobile device.

    Automatic painting system with drone, user interface and computer vision
    23.
    发明授权
    Automatic painting system with drone, user interface and computer vision 有权

    公开(公告)号：US10023311B2

    公开(公告)日：2018-07-17

    申请号：US15066708

    申请日：2016-03-10

    Applicant: International Business Machines Corporation

    Inventor： Jui-Hsin Lai ,  Yu Ma ,  Conglei Shi ,  Yinglong Xia

    IPC: B64D1/18 ,  B64D47/08 ,  B64C39/02 ,  G05D1/00

    Abstract: A system and method for painting a structure. The system comprises: a computer vision processing system configured to obtain images of a target structure and generate first instructions signals for real time communication to an unmanned aerial vehicle (UAV) having a paint fluid dispensing system provided thereon; a control device at the UAV responsive to received the first instruction signals for controlling real time navigating of the UAV to a location at the target structure; and the computer vision processing system configured to generate second instruction signals for real time communication to the UAV, wherein the control device at the UAV is configured to automatically actuate the paint fluid dispensing system to apply a paint fluid at the location on the target structure in response, the received second instruction signals configuring the UAV to render a desired visual image on the target structure.

    TRUE RANDOM GENERATOR (TRNG) IN ML ACCELERATORS FOR NN DROPOUT AND INITIALIZATION
    25.
    发明申请
    TRUE RANDOM GENERATOR (TRNG) IN ML ACCELERATORS FOR NN DROPOUT AND INITIALIZATION 审中-公开

    公开(公告)号：US20180046597A1

    公开(公告)日：2018-02-15

    申请号：US15232177

    申请日：2016-08-09

    Applicant: International Business Machines Corporation

    Inventor： Chia-Yu Chen ,  Pierce I-Jen Chuang ,  Li-Wen Hung ,  Jui-Hsin Lai

    IPC: G06F15/78 ,  G06N3/063

    CPC classification number: G06F15/7892 ,  G06F7/58 ,  G06N3/063 ,  G06N3/082

    Abstract: A random number signal generator used for performing dropout or weight initialization for a node in a neural network. The random number signal generator includes a transistor which generates a random noise signal. The transistor includes a substrate, source and drain regions formed in the substrate, a first insulating layer formed over a channel of the transistor, a first trapping layer formed over the first insulating layer, a second insulating layer formed over the first trapping layer, and a second trapping layer formed over the second insulating layer. One or more traps in the first and second trapping layers are configured to capture or release one or more carriers flowing through the channel region. The random noise signal is generated as a function of one or more carrier being captured or released by the one or more traps.

    System for monitoring eating habit using a wearable device
    27.
    发明授权
    System for monitoring eating habit using a wearable device 有权

    公开(公告)号：US10952669B2

    公开(公告)日：2021-03-23

    申请号：US15853082

    申请日：2017-12-22

    Applicant: International Business Machines Corporation

    Inventor： Conglei Shi ,  Yinglong Xia ,  Jui-Hsin Lai ,  Yu Ma

    IPC: G06K9/00 ,  A61B5/00 ,  G09B19/00 ,  A61B5/0488 ,  A61B5/11 ,  G06F1/16 ,  A61B5/04 ,  G06N20/00 ,  G02C11/00

    Abstract: Method and apparatus for monitoring eating behavior are disclosed. A wearable device including an imaging sensor, an electromyography (EMG) sensor, and a processing unit is configured to collect EMG data via the EMG sensor, transmit the EMG data to a computing device, receive a control signal to capture one or more images via the imaging sensor, capture, one or more images, and transmit the one or more images. A computing device is disclosed including a processor and a memory containing a machine learning model and computer program code that, when executed, performs an operation. The operation includes receiving EMG data, processing the EMG data as input to a trained machine learning model, transmitting the control signal to capture one or more images via the imaging sensor, receiving the one or more images, and determining nutritional content of the food or beverage using the one or more images.

    True random generator (TRNG) in ML accelerators for NN dropout and initialization
    29.
    发明授权
    True random generator (TRNG) in ML accelerators for NN dropout and initialization 有权

    公开(公告)号：US10579583B2

    公开(公告)日：2020-03-03

    申请号：US15232177

    申请日：2016-08-09

    Applicant: International Business Machines Corporation

    Inventor： Chia-Yu Chen ,  Pierce I-Jen Chuang ,  Li-Wen Hung ,  Jui-Hsin Lai

    IPC: G06F7/58 ,  G06F15/78 ,  G06N3/063 ,  G06N3/08

    Abstract: A random number signal generator used for performing dropout or weight initialization for a node in a neural network. The random number signal generator includes a transistor which generates a random noise signal. The transistor includes a substrate, source and drain regions formed in the substrate, a first insulating layer formed over a channel of the transistor, a first trapping layer formed over the first insulating layer, a second insulating layer formed over the first trapping layer, and a second trapping layer formed over the second insulating layer. One or more traps in the first and second trapping layers are configured to capture or release one or more carriers flowing through the channel region. The random noise signal is generated as a function of one or more carrier being captured or released by the one or more traps.

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