INTEGRATED CIRCUIT CHIP VERIFICATION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20230195945A1

    公开(公告)日:2023-06-22

    申请号:US17864714

    申请日:2022-07-14

    Inventor: Yan LI

    CPC classification number: G06F21/76 G06F7/483

    Abstract: The present disclosure provides an integrated circuit (IC) chip verification method and apparatus, an electronic device, and a storage medium, and relates to the field of artificial intelligence such as artificial intelligence chips and cloud computing. The method may include: acquiring a first parameter and a second parameter, the first parameter being an upper limit of a required floating-point number, and the second parameter being a lower limit of the required floating-point number; generating a first sign, a first exponent, and a first fraction of a randomized floating-point number respectively according to the first parameter and the second parameter; generating the floating-point number according to the first sign, the first exponent, and the first fraction; and performing IC chip verification by using the floating-point number.

    TRAINING METHOD AND APPARATUS FOR A NEURAL NETWORK MODEL, DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20230186049A1

    公开(公告)日:2023-06-15

    申请号:US18077361

    申请日:2022-12-08

    Inventor: Bo JING

    CPC classification number: G06N3/04 H04L9/008

    Abstract: Provided are a training method and apparatus for a neural network model, a device and a storage medium. The training method includes: acquiring a first feature representation ciphertext of a sample user from a first party; determining the tag ciphertext of the sample user and determining the loss error ciphertext and the gradient ciphertext of a second neuron in a second sub-neural network based on the second sub-neural network according to the first feature representation ciphertext and the tag ciphertext; controlling the first party to decrypt the gradient ciphertext of the second neuron to obtain a decryption result and updating the network parameter of the second neuron according to the decryption result acquired from the first party; and sending the loss error ciphertext of an association neuron to the first party.

    BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

    公开(公告)号:US20230169680A1

    公开(公告)日:2023-06-01

    申请号:US18057954

    申请日:2022-11-22

    Abstract: A positioning method, a method for generating a visual map and an apparatus thereof includes: obtaining a current parking space number corresponding to a parking space image; obtaining a three-dimensional (3D) coordinate and a 3D pose of the current parking space number under a world coordinate system based on the current parking space number and a visual map, in which the visual map is generated based on current parking space numbers; obtaining a first conversion matrix from a camera coordinate system to a current parking space number coordinate system, in which the current parking space number coordinate system is generated based on the current parking space number; and determining a 3D coordinate and a 3D pose of a camera under the world coordinate system based on the first conversion matrix and the 3D coordinate and 3D pose of the current parking space number.

    Image Processing Method, Electronic Device, and Storage Medium

    公开(公告)号:US20230162426A1

    公开(公告)日:2023-05-25

    申请号:US17880550

    申请日:2022-08-03

    Abstract: An image processing method, an electronic device, and a storage medium are provided, relates to the field of augmented/virtual reality and image processing. A specific implementation solution may include: at least one first texture coefficient of a two-dimensional face image is acquired; a first texture image of the two-dimensional face image is generated based on the at least one first texture coefficient and a first texture base of the two-dimensional face image; the at least one first texture coefficient is determined to satisfy a first target condition based on the first texture image, and the first texture base is updated based on the first texture image, to obtain a second texture base; and in response to the second texture base converging successfully, three-dimensional reconstruction is performed on the two-dimensional face image based on the second texture base, to obtain a three-dimensional face image.

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