-
公开(公告)号：US20230161664A1
公开(公告)日：2023-05-25
申请号：US18157429
申请日：2023-01-20
Inventor： Zhigang ZENG , Zhenyuan SUN , Bingqing SHAO , Pengfei YAN , Shiyong LI , Yanpeng WANG
IPC: G06F11/07
CPC classification number: G06F11/0793 , G06F11/079 , G06F11/0709
Abstract: A method of responding to an operation, an electronic device and a storage medium are provided, which relate to a field of cloud computing, and in particular to a field of cluster technology. The specific implementation solution includes: performing, in response to determining that a target operation performed by a target client on a shared resource has timed out, a fault detection on the target client to obtain a fault detection result; and implementing, in response to determining that the fault detection result represents that the target client has a fault, an update operation to obtain a target authority identifier, so that the target client is prevent from continuing to perform the target operation by using the target authority identifier.
-
公开(公告)号：US20230154163A1
公开(公告)日：2023-05-18
申请号：US18151108
申请日：2023-01-06
Inventor： Zhuang Jia , Xiang Long , Yan Peng , Honghui Zheng , Bin Zhang , Yunhao Wang , Ying Xin , Chao Li , Xiaodi Wang , Song Xue , Yuan Feng , Shumin Han
IPC: G06V10/774 , G06V10/58 , G06V10/764 , G06V10/776 , G06V20/70 , G06V10/77
CPC classification number: G06V10/774 , G06V10/58 , G06V10/764 , G06V10/776 , G06V20/70 , G06V10/7715
Abstract: A method for recognizing a category of an image includes: acquiring a spectral image; training an image recognition model based on the spectral image, in which the image recognition model acquires a spectral semantic feature of each pixel, a minimum distance between each pixel and each category, and a spectral distance between a first spectrum of each pixel and a second spectrum of each category; splices them; and performs classification and recognition based on the spliced feature to output a recognition probability of each pixel under each category; determining a loss function of the image recognition model, adjusting the image recognition model based on the loss function, and returning to training the adjusted image recognition model based on the spectral image until training ends; recognizing a maximum recognition probability, output from a target image recognition model, and using a category corresponding to the maximum recognition probability as a target category.
-
133.发明公开公开(公告)号：US20230154077A1
公开(公告)日：2023-05-18
申请号：US17682295
申请日：2022-02-28
Inventor： Licheng TANG , Jiaming LIU
IPC: G06T11/20 , G06F40/109
CPC classification number: G06T11/203 , G06F40/109
Abstract: Provided is a training method for a character generation model. The training method for a character generation model includes: a first training sample is input into a target model to calculate a first loss, where the first training sample includes a first source domain sample word and a first target domain sample word, and content of the first source domain sample word is different from content of the first target domain sample word; a second training sample is input into the target model to calculate a second loss, where the second training sample includes a second source domain sample word and a second target domain sample word, content of the second source domain sample word is the same as content of the second target domain sample word; and a parameter of the character generation model is adjusted according to the first loss and the second loss.
-
公开(公告)号：US20230153674A1
公开(公告)日：2023-05-18
申请号：US18094304
申请日：2023-01-06
Inventor： Xin WANG , Xuanqiang ZHAO
Abstract: A method is provided. The method includes: determining m first parameterized quantum circuits and a second parameterized quantum circuit of an m-dimensional quantum system; obtaining m first quantum states obtained after the first parameterized quantum circuits act on an initial quantum state and m second quantum states obtained after the quantum channel acts on the m first quantum states; obtaining a quantum state matrix obtained after the second parameterized quantum circuit acts on the initial quantum state, where diagonal elements of the matrix correspond to the first quantum states to constitute an ensemble; optimizing parameters of the parameterized quantum circuits by minimizing a loss function, where the loss function is determined based on Holevo information of the quantum channel at the current ensemble; and determining the Holevo information, obtained after the optimization, of the quantum channel as an estimated value of the classical capacity of the quantum channel.
-
公开(公告)号：US20230153548A1
公开(公告)日：2023-05-18
申请号：US17885152
申请日：2022-08-10
Inventor： Ruiqing ZHANG , Xiyang WANG , Zhongjun HE , Zhi LI , Hua WU
IPC: G06F40/58
CPC classification number: G06F40/58
Abstract: A translation method, an electronic device and a storage medium, which relate to the field of artificial intelligence technologies, such as machine learning technologies, information processing technologies, are disclosed. An implementation includes: acquiring an intermediate translation result generated by each of multiple pre-trained translation models for a to-be-translated specified sentence in a same iteration of a translation process, so as to obtain multiple intermediate translation results; acquiring a co-occurrence word based on the multiple intermediate translation results; and acquiring a target translation result of the specified sentence based on the co-occurrence word.
-
Patent Agency Ranking
公开(公告)号：US20230153511A1
公开(公告)日：2023-05-18
申请号：US17884899
申请日：2022-08-10
Inventor： Xin JIN
IPC: G06F30/398
CPC classification number: G06F30/398
Abstract: There is provided a regression test method, an electronic device and a storage medium, and relates to the field of artificial intelligence, such as artificial intelligence chips, cloud computing, intelligent voices, or the like. The method includes: when execution of any regression test is completed, determining a to-be-adjusted test case from test cases according to a current test result; and adjusting a randomization weight corresponding to a data range randomized by the to-be-adjusted test case in a current test.
-
公开(公告)号：US20230147798A1
公开(公告)日：2023-05-11
申请号：US18052143
申请日：2022-11-02
Inventor： Haifeng WANG , Hao TIAN , Jing LIU , Hua WU , Tian WU , Yu SUN , Qiaoqiao SHE
CPC classification number: G06F16/3347 , G06F40/30
Abstract: A method is provided. The method includes converting a search request of a user into a first request semantic vector. The method further includes searching a search resource database for at least one first data semantic vector matched with the first request semantic vector, wherein the search resource database is constructed as a semantic vector space in which different types of data are converted into corresponding data semantic vectors, and the different types of data include at least texts, pictures and videos. The method further includes generating, based on the at least one first data semantic vector, a search result.
-
公开(公告)号：US20230145853A1
公开(公告)日：2023-05-11
申请号：US17980095
申请日：2022-11-03
Inventor： Teng XI , Gang ZHANG
CPC classification number: G06N3/08 , G06K9/6262
Abstract: A method of generating a pre-training model, an electronic device, and a storage medium, which relate to a field of an artificial intelligence technology, in particular to a field of a computer vision and deep learning technology. The method includes: determining, for each of a plurality of tasks, a performance index set corresponding to a candidate model structure set, the candidate model structure set is determined from a plurality of model structures included in a search space, and the search space is a super-network-based search space; determining, from the candidate model structure set, a target model structure according to a plurality of performance index sets, the target model structure is a model structure meeting a performance index condition, and the plurality of performance index sets correspond to the plurality of tasks respectively; and determining the target model structure as the pre-training model.
-
139.发明公开公开(公告)号：US20230144288A1
公开(公告)日：2023-05-11
申请号：US18090651
申请日：2022-12-29
Inventor： Yongkang Liu , Xipeng Zong , Jianzhong Yang , Zhen Lu , Deguo Xia , Tingting Cao
CPC classification number: G08G1/097 , G01C21/3815 , G08G1/0125
Abstract: The disclosure provides a method for determining an intersection missing traffic restriction information and an electronic device. The method includes: obtaining trajectory information corresponding to the intersection; determining a traffic anomaly occurring at the intersection based on the trajectory information; obtaining lane line information of a road section connected by the intersection; and determining the intersection missing traffic restriction information based on the lane line information.
-
公开(公告)号：US20230141932A1
公开(公告)日：2023-05-11
申请号：US18060672
申请日：2022-12-01
Inventor： Dongfeng He , Bingjin Chen , Jiayang Tu , Yingzhan Lin , Shiwei Huang
IPC: G06F16/332 , G06F40/30
CPC classification number: G06F16/3329 , G06F40/30
Abstract: A method for answer questioning based on a table includes the following. A question text to be processed and an information table for question answering are determined, and the information table includes: at least one attribute name. A character vector sequence, a position vector sequence and a type vector sequence are determined based on the question text and the at least one attribute name. An attribute name segment and an attribute value segment in the question text are determined based on the character vector sequence, the position vector sequence and the type vector sequence. An answer corresponding to the question text is determined based on the attribute name segment, the attribute value segment and the information table.
-
-
-
-
-
-
-
-
-
Search Results
1526
records
(took 0.036 seconds)
