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301.发明申请公开(公告)号：US20190317686A1
公开(公告)日：2019-10-17
申请号：US16456454
申请日：2019-06-28
Inventor： Jingwei MA
Abstract: A method, an apparatus, a device, and a storage medium for processing a data location of a storage device. The method includes: when a device is restarted, writing a first location information set of historical data stored in the storage device into a memory, where the historical data and location information corresponding to the historical data are stored in the storage device correspondingly; if there is update data in the storage device, writing location information of the update data stored corresponding to the update data in the storage device into the memory; and generating, according to the first location information set and the location information of the update data, a second location information set in the memory, and storing the second location information into the storage device.
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公开(公告)号：US12298956B2
公开(公告)日：2025-05-13
申请号：US18748362
申请日：2024-06-20
Inventor： Chenchang Zhu , Jialin Feng
IPC: G06F16/22 , G06F16/2453
Abstract: A method for generating an index, and an electronic device are provided. The detailed solution includes: determining a first parameter group and a second parameter group in response to receiving a query request for a first vector database and there being no available index for the first vector database, constructing a first index for the first vector database based on the first parameter group, and querying the first vector database based on the first index; constructing a second index for the first vector database based on the second parameter group in response to meeting a preset condition; and in response to determining that construction of the second index is completed, deleting the first index, and querying the first vector database based on the second index.
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公开(公告)号：US20250149110A1
公开(公告)日：2025-05-08
申请号：US18929408
申请日：2024-10-28
Inventor： Kunrui Zhu , Lihang Liu , Xiaomin Fang , Xiaonan Zhang , Jingzhou He
Abstract: A method for predicting a structure of a protein complex includes: obtaining an initial coordinate of each amino acid residue in a target protein complex, and obtaining a target residue pair feature, a first multiple sequence alignment (MSA) feature and a second MSA feature of each protein monomer in the target protein complex; and inputting the initial coordinate of each amino acid residue, and the target residue pair feature, the first MSA feature and the second MSA feature of each protein monomer into an N-level fold iteration network layer, and obtaining a target coordinate of each amino acid residue by predicting a torsion angle, a position transformation at residue level and a position transformation at monomer chain level of each amino acid residue via the N level fold iteration network layer, to obtain a predicted structure of the protein complex.
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公开(公告)号：US12283085B2
公开(公告)日：2025-04-22
申请号：US17902323
申请日：2022-09-02
Inventor： Siqi Xu , Ke Sun , Jian Gong , Xu Pan , Zhiqun Xia , Zhe Yang , Zecheng Zhuo
IPC: G06V10/762 , G06F16/28 , G06V10/74 , G06V10/764
Abstract: Provided is a data labeling method based on artificial intelligence, an apparatus, and a storage medium relating to the field of artificial intelligence, particularly data labeling, image recognition, and natural language processing. The method includes: determining a plurality of samples involved in clustering; performing a plurality of following operations circularly to realize iterative processing, until a convergence condition is satisfied or a quantity of iterations reaches a number threshold, comprising: pre-clustering the plurality of samples according to a vector representation of the respective samples to obtain a plurality of class clusters, each class cluster containing at least one sample; receiving labeling information for the respective class clusters and re-determining the plurality of samples according to the labeling information; and determining a clustering result according to the labeling information for the respective class clusters.
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305.发明申请公开(公告)号：US20250124679A1
公开(公告)日：2025-04-17
申请号：US18748082
申请日：2024-06-19
Inventor： Lei WANG , Xiaodong ZHANG , Shiyan LI
Abstract: The present disclosure provides method and apparatus for transferring facial expression of digital human, electronic device, and storage medium, which relates to the fields of augmented reality technologies, virtual reality technologies, computer vision technologies, deep learning technologies, or the like, and can be applied to scenarios, such as metaverse, a virtual digital human, or the like, An implementation includes: screening an identification of a target reference model matched with an object model from a preset reference model library; the reference model library including a plurality of reference models; acquiring an expression library of the target reference model based on the identification of the target reference model; and transferring a last frame of an expression in the expression library of the target reference model into the object model to obtain a last frame of an expression of the object model.
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Patent Agency Ranking
公开(公告)号：US12277398B2
公开(公告)日：2025-04-15
申请号：US17694034
申请日：2022-03-14
Inventor： Jian Gong , Yu Sun , Hao Tian , Hua Wu , Haifeng Wang , Qiaoqiao She
IPC: G06F40/40 , G06F40/205 , G06F40/284
Abstract: A model training method, a model training platform, an electronic device and a storage medium are provided, which can be used in the field of artificial intelligence, particularly the fields of natural language processing and deep learning. The model training method includes: receiving an input; determining, based on the input, a user-oriented prefabricated function; determining, based on the input, a model training function; determining, based on the input, a pre-trained model; determining, based on the input, a network structure associated with the pre-trained model so as to support use of the pre-trained model; training, based on the input, the model by using the prefabricated function, the model training function, and the pre-trained model; and providing an output associated with a trained model.
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公开(公告)号：US12277387B2
公开(公告)日：2025-04-15
申请号：US18056197
申请日：2022-11-16
Inventor： Ruiqing Zhang , Zhongjun He , Zhi Li , Hua Wu
IPC: G06F40/232 , G06F40/279 , G06F40/53
Abstract: A text processing method is provided. The method includes: a first probability value of each candidate character of a plurality of candidate characters corresponding to a target position is determined based on character feature information corresponding to the target position in a text fragment to be processed, wherein the character feature information is determined based on a context at the target position in the text fragment to be processed; a second probability value of each candidate character of the plurality of candidate characters is determined based on a character string including the candidate character and at least one character in at least one position in the text fragment to be processed adjacent to the target position; and a correction character at the target position is determined based on the first probability value and the second probability value of each candidate character of the plurality of candidate characters.
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308.发明申请公开(公告)号：US20250117668A1
公开(公告)日：2025-04-10
申请号：US18987988
申请日：2024-12-19
Inventor： Xinran He , Xianwei Xue , Bolei He , Kunbin Chen , Jinchang Luo , Ruigao Li
IPC: G06N3/096 , G06N3/0475
Abstract: A method for model training based on a large model includes: determining a first large model as a teacher model of a language model, and performing distillation learning on the language model based on the first large model; inputting a first prompt text into the language model, and obtaining a plurality of first response texts for the first prompt text output by the language model; determining a reference response text for the first prompt text from the plurality of first response texts; and training the language model based on the reference response text for the first prompt text.
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公开(公告)号：US12270672B2
公开(公告)日：2025-04-08
申请号：US17712557
申请日：2022-04-04
Inventor： Tingting Zhai , Peng Yang , Hongfei Zhu
IPC: G01C21/36
Abstract: The present disclosure provides a method for generating navigation information, an apparatus for generating navigation information, a device, a medium, and a product. The present disclosure relates to the technical field of computers, and specifically relates to the technical field of artificial intelligence, and the present disclosure may be applied to a map navigation scenario. A specific implementation includes: acquiring intersection feature information; determining a set of a complex intersection based on the intersection feature information; determining intersection type information corresponding to the complex intersection in the set of the complex intersection; and generating navigation information corresponding to the complex intersection in the set of the complex intersection based on the intersection type information.
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公开(公告)号：US20250103825A1
公开(公告)日：2025-03-27
申请号：US18974450
申请日：2024-12-09
Inventor： Xinchao Xu , Wenquan Wu
IPC: G06F40/35
Abstract: A method for generating a dialogue includes acquiring a current first question statement and historical dialogue information associated with the first question statement; acquiring, from a knowledge base, a first knowledge item associated with the first question statement and a second knowledge item having a question-answer relationship with the first knowledge item; obtaining a first reply statement output by a generative model by inputting the first question statement, the first knowledge item, and the historical dialogue information into the generative model; evaluating the first reply statement based on the first question statement, the first knowledge item, and the second knowledge item; and outputting the first reply statement in response to the first reply statement passing evaluation.
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