公开(公告)号：US20250156434A1

公开(公告)日：2025-05-15

申请号：US19023767

申请日：2025-01-16

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Meng HAN ,  Xinyu ZHANG ,  Yongkang WU ,  Zikai GUO

IPC: G06F16/248 ,  G06F16/22

Abstract: This application relates to the field of artificial intelligence and computer search technologies, and provides a query method and a related device. The method includes: obtaining a query of a user; and generating a query result, where the query result includes a first answer to the query, a first major premise and a first minor premise used to obtain the first answer through deductive reasoning, a first major premise evidence for proving the first major premise, and a first minor premise evidence for proving the first minor premise; or the query result includes a first answer to the query, a first major premise and a first minor premise used to obtain the first answer through deductive reasoning, and a first minor premise evidence for proving the first minor premise.

公开(公告)号：US20230222639A1

公开(公告)日：2023-07-13

申请号：US18182655

申请日：2023-03-13

Applicant: Huawei Technologies Co., Ltd.

Inventor： Xinyu ZHANG ,  Bing YU ,  Zhao ZHONG

IPC: G06T5/50 ,  G06T7/00 ,  H04N23/84

CPC classification number: G06T5/50 ,  G06T7/0002 ,  H04N23/84 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/30168

Abstract: This application provides a data processing method, system, and apparatus, and relates to the field of artificial intelligence (AI). The data processing method may be performed by a server, or may be performed by a device having a data processing function. During execution, reference data is first obtained. The reference data includes RGB image data and a device parameter of an image device. Then, a plurality of conversion parameters required for converting the RGB image data into RAW data are determined. Finally, the RGB image data is processed into the RAW data based on the plurality of conversion parameters. The RAW data matches the device parameter of the image device. In this application, the RGB image data is converted into the RAW data based on the plurality of conversion parameters rather than manual experience. Therefore, the described data processing method, system, and apparatus improve data processing efficiency.

公开(公告)号：US20220319154A1

公开(公告)日：2022-10-06

申请号：US17843310

申请日：2022-06-17

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xinyu ZHANG ,  Peng YUAN ,  Muyuan FANG ,  Zhao ZHONG

IPC: G06V10/778 ,  G06V10/82 ,  G06V10/774

Abstract: This application discloses a neural network model update method, an image processing method, and an apparatus in the field of artificial intelligence. The neural network model update method includes: obtaining a structure of a neural network model and a related parameter of the neural network model; training the neural network model based on the related parameter of the neural network model to obtain a trained neural network model; and if an evaluation result of the trained neural network model does not meet a preset condition, updating at least two items of the related parameter of the neural network model and the structure of the neural network model until an evaluation result of an updated neural network model meets a preset condition and/or a quantity of updates reaches a preset quantity of times. According to the method in this application, efficiency of updating a neural network model can be improved.

公开(公告)号：US20220215259A1

公开(公告)日：2022-07-07

申请号：US17701101

申请日：2022-03-22

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xinyu ZHANG ,  Peng YUAN ,  Zhao ZHONG

IPC: G06N3/08 ,  G06N3/04 ,  G06K9/62

Abstract: Technical solutions in this application are applied to the field of artificial intelligence. This application provides a neural network training method, a method for performing data processing by using a neural network trained by using the method, and a related apparatus. According to the training method in this application, a target neural network is trained in an adversarial manner, so that a policy search module can continuously discover a weakness of the target neural network, generate a policy of higher quality according to the weakness, and perform data augmentation according to the policy to obtain data of higher quality. A target neural network of higher quality can be trained according to the data. In the data processing method in this application, data processing is performed by using the foregoing target neural network, so that a more accurate processing result can be obtained.