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公开(公告)号：US20240362165A1
公开(公告)日：2024-10-31
申请号：US18771430
申请日：2024-07-12
IPC分类号： G06F12/0817
CPC分类号： G06F12/0828 , G06F2212/621
摘要： A computing device and a data processing method and system are provided. The computing device includes a central processing unit, at least one heterogeneous device, and a shared memory pool. The central processing unit is configured to: divide the shared memory pool into a plurality of memory spaces, store, in a first memory space in the plurality of memory spaces, first to-be-processed data that is provided by a client and that is associated with a service, and notify a first heterogeneous device of an address of the first to-be-processed data in the first memory space and a first operation that needs to be performed by the first heterogeneous device. The first heterogeneous device performs the first operation on the first to-be-processed data, and stores obtained first data in a second memory space.
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公开(公告)号：US20240354580A1
公开(公告)日：2024-10-24
申请号：US18758605
申请日：2024-06-28
发明人： Zhipeng Liang , Weimin Zhou , Yi Li , Zonghong Dai
IPC分类号： G06N3/086 , G06N3/0475
CPC分类号： G06N3/086 , G06N3/0475
摘要： A neural network architecture search method includes: receiving an optimization request, where the optimization request includes a model file and an optimization requirement of a to-be-optimized model, and the optimization requirement includes a performance requirement and a hardware requirement; performing neural architecture search processing in search space based on the model file, to obtain a neural network architecture that meets the optimization requirement; and returning the neural network architecture.
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公开(公告)号：US12118336B2
公开(公告)日：2024-10-15
申请号：US17852721
申请日：2022-06-29
发明人： Zhao Wei , Guangtai Liang , Shanbin Cheng , Qianxiang Wang
摘要： A method for presenting an associated conflict block comprises obtaining a first conflict file comprising a plurality of first code blocks, wherein a second code block of the first code blocks comprises a first code snippet of a current version of the second code block, a second code snippet of a basic version of the second code block, and a third code snippet of a to-be-merged version of the second code block. A first instruction triggered on a user interface for activating a to-be-processed code block is received, wherein a first type of the to-be-processed code block is of an unresolved conflict block or a single-side change block. A fourth code snippet comprised in the to-be-processed code block and indexes of N associated code blocks of the to-be-processed code block is presented on the user interface.
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公开(公告)号：US20240311092A1
公开(公告)日：2024-09-19
申请号：US18673285
申请日：2024-05-23
发明人： Yawei Wang , Ilya Seleznev , Pavel Petrochenko , Denis Denisenko
IPC分类号： G06F8/30
CPC分类号： G06F8/315
摘要： In a data processing method, a processor obtains N objects that belong to a same class of object-oriented programming (OOP). The processor determines M groups of data based on attribute values of M attributes included in each of the N objects. The M groups of data are in a one-to-one correspondence with the M attributes, and each of the M groups of data indicates attribute values of a corresponding attribute of the N objects. The processor then stores the M groups of data by using M storage space sets respectively.
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公开(公告)号：US20240265006A1
公开(公告)日：2024-08-08
申请号：US18613534
申请日：2024-03-22
发明人： Xiaoqin Xie , Wenlong Ma , Zongquan Zhang
IPC分类号： G06F16/23
CPC分类号： G06F16/2379
摘要： A method for controlling a database transaction, includes: receiving a structured query language (SQL) statement from a user equipment; setting a first speculation function of a first database transaction based on the SQL statement, where the first speculation function indicates that before a log of a second database transaction is committed, an operation record of the second database transaction is visible to the first database transaction; and performing an operation on the first database transaction based on the first speculation function.
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公开(公告)号：US12038879B2
公开(公告)日：2024-07-16
申请号：US17526659
申请日：2021-11-15
发明人： Shuang Huang , Fucheng Hong
IPC分类号： G06F16/178 , G06F16/18 , G06F16/182
CPC分类号： G06F16/178 , G06F16/183
摘要： This application provides a data read method. The data read method includes: A resource management server receives a data read request from a client. The data read request is used to request a plurality of files. The resource management server reads a replica of target data from a first data center. The target data includes data of different files among the plurality of files, the first data center is a data center with highest data locality among a plurality of data centers that store replicas of the target data, and data locality is used to indicate a degree of proximity between a replica of the target data stored in a data center and the target data. The resource management server sends, to the client, the replica of the target data read from the first data center.
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公开(公告)号：US12033513B2
公开(公告)日：2024-07-09
申请号：US17141446
申请日：2021-01-05
摘要： This application provides an internet of things platoon communication method. In this method, an internet of things platform plans and manages a communication mode of a platoon in a traveling process. In the traveling process, the platoon selects, based on a communication mode plan sent by the platform, a communication mode corresponding to a current location of the platoon for communication. Because the platform can obtain global information such as a network and a map, the communication mode planned by the platform is more reasonable and accurate. This resolves a problem of one-by-one switchover and repeated switchover of fleet members at road sections such as a congested road section, a road section with poor network coverage, and a multi-block road section.
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公开(公告)号：US12032571B2
公开(公告)日：2024-07-09
申请号：US17694970
申请日：2022-03-15
发明人： Kaiyuan Xie , Xiaolong Bai , Wenqi Fu , Chenghui Yu , Weimin Zhou
IPC分类号： G06F7/00 , G06F16/2453 , G06N20/00
CPC分类号： G06F16/2453 , G06N20/00
摘要： In a method for AI model optimization, an optimization device receives an original AI model and search configuration information that comprises a plurality of search items each indicating its search categories for performing optimization information search on the original AI model. The device obtains a plurality of search operators corresponding to the plurality of search items, and arranges the search operators in an operation sequence based on the search configuration information. The device then executes the search operators in the arranged operation sequence on the original AI model to obtain an optimized AI model. In the execution of the operation sequence, each search operator, except for the first search operator in the operation sequence, is executed utilizing operation results of a preceding search operator in the operation sequence, the operation results including generated network structures and search space information.
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公开(公告)号：US12026162B2
公开(公告)日：2024-07-02
申请号：US17702479
申请日：2022-03-23
发明人： Weihua Shan , Yixuan Dai
IPC分类号： G06F7/00 , G06F16/2455 , G06F16/28
CPC分类号： G06F16/2455 , G06F16/283 , G06F16/285
摘要： A data query method includes: receiving a data query request during a data query, where the data query request specifies data ranges in a plurality of dimensions; obtaining spatial distribution information of multi-dimensional data, where the spatial distribution information records data ranges, in each dimension, of a plurality of subspace objects associated with the multi-dimensional data; determining, from the multi-dimensional data based on the spatial distribution information of the multi-dimensional data, a block that meets the data ranges in the plurality of dimensions specified by the data query request; and searching the determined block for data that meets the data ranges in the plurality of dimensions specified by the data query request.
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公开(公告)号：US20240211812A1
公开(公告)日：2024-06-27
申请号：US18145912
申请日：2022-12-23
发明人： Gursimran SINGH , Xinglu WANG , Yong ZHANG , Mohammad AKBARI
IPC分类号： G06N20/20 , G06F16/2457
CPC分类号： G06N20/20 , G06F16/24578
摘要： Methods and systems for selecting a target model for an unlabeled dataset of a dataset provider, the target model for generating labels for the unlabeled dataset. The method comprises acquiring the unlabeled dataset from the dataset provider; acquiring a first candidate model from a first model provider and a second candidate model from a second model provider, generating a first usefulness score for the first candidate model and a second usefulness score for the second candidate model using the unlabeled dataset, the first and second usefulness scores being indicative of likelihood that the first and second candidate models generate accurate labels for the unlabeled dataset respectively; selecting the first candidate model as the target model using the first usefulness score and the second usefulness score; and causing generation of the labels from the unlabeled dataset using the target model.
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