公开(公告)号：US20240283463A1

公开(公告)日：2024-08-22

申请号：US18567644

申请日：2022-04-07

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Chao YU ,  Yi CHEN ,  Guifu LI ,  Ge QIU ,  Zhipeng LI ,  Daiyue ZHANG ,  Jing QIAN

IPC: H03M7/30 ,  G06F3/06

CPC classification number: H03M7/6047 ,  G06F3/0608 ,  G06F3/064

Abstract: This application discloses a data compression method and apparatus. The method includes: obtaining m data blocks in a data area of a readable and writable file system; compressing the m data blocks by using a preset compression algorithm, to sequentially obtain n compressed data blocks, where first capacities of the compressed data blocks are the same, and the first capacity represents a quantity of bytes of compressed data that can be included in the compressed data block; and establishing a first index of each of j data blocks corresponding to an ith compressed data block in the n compressed data blocks, and recording a mapping relationship between first indexes and the j data blocks. The first index is used to identify a storage location, in a storage medium, of each data block included in the j data blocks, and attribute information included in each of the j data blocks.

公开(公告)号：US20220036236A1

公开(公告)日：2022-02-03

申请号：US17276949

申请日：2018-09-19

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Chao YU ,  Miao XIE ,  Xiang XU

IPC: G06N20/00

Abstract: An AI model development method and apparatus, in the field of AI technologies. A solution is as follows: a development platform obtains platform indication information, service indication information, and parameter requirement information of a to-be-generated AI model; selects, from an operator database, a plurality of available operators; selects an operator from the plurality of available operators, and sets a parameter of the selected operator to generate a first candidate policy; performs sample training on the first candidate policy to obtain a first candidate AI model; runs the first candidate AI model to execute processing on test data of the first service, so as to obtain a first running parameter; and, if the first running parameter matches the parameter requirement information, determines that the first candidate AI model is a target AI model.

公开(公告)号：US20210279613A1

公开(公告)日：2021-09-09

申请号：US17329414

申请日：2021-05-25

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Chao YU ,  Xinyu ZHOU

IPC: G06N5/04

Abstract: A model selection method and a terminal are provided. The method includes: A terminal obtains first behavior data generated when a user operates the terminal. The terminal selects a first model from a plurality of stored models. The terminal runs the first model by using the first behavior data as an input parameter of the first model, to obtain a first output result. The terminal provides a first artificial intelligence AI service based on the first output result. When the first model does not meet a condition, the terminal selects a second model from the plurality of models. The terminal runs the second model by using second behavior data as an input parameter of the second model, to obtain a second output result. The terminal continues to provide the first AI service based on the second output result.

公开(公告)号：US20210004302A1

公开(公告)日：2021-01-07

申请号：US16977426

申请日：2018-03-15

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Chao YU ,  Hao CHEN ,  Bifeng TONG ,  Chengliang ZHENG ,  Xiyu ZHOU

IPC: G06F11/14 ,  G06F21/62

Abstract: A method for protecting application data includes detecting a deleting operation performed by a first application on first data. The method also includes determining, based on a preset condition, whether to delete the first data of the first application. The method further includes renaming the first data of the first application based on a determination that the first application meets the preset condition. The method additionally includes storing the renamed first data in a memory.