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1.发明申请公开(公告)号：US20250104817A1
公开(公告)日：2025-03-27
申请号：US18974497
申请日：2024-12-09
Inventor： Lihang Liu , Xiaomin Fang , Xiaonan Zhang , Jingzhou He
Abstract: A training method and apparatus for a full atomic structure prediction model. The method includes: obtaining structural information of a biomolecule and a first dynamic trajectory of the biomolecules; in which, the first dynamic trajectory includes position information of atoms in the biomolecule at different time points; adding noise to the first dynamic trajectory to obtain a second dynamic trajectory; encoding the structural information to obtain encoded features; decoding the encoded features and the second dynamic trajectory to obtain a target dynamic trajectory; and training an initial full atomic structure prediction model based on a difference between the target dynamic trajectory and the first dynamic trajectory, to obtain the full atomic structure prediction model.
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公开(公告)号：US20250103802A1
公开(公告)日：2025-03-27
申请号：US18974408
申请日：2024-12-09
Inventor： Guangyuan Yan
IPC: G06F40/20
Abstract: The disclosure provides a method for optimizing content generated by a large model, an apparatus for optimizing content generated by a large model, an electronic device and a storage medium, and relates to the technical field of artificial intelligence, especially to the technical fields of text processing, large language model and the like. It can be applied to official document processing, automatic contract generation, legal document writing, enterprise internal system management and so on. The method includes: obtaining a question entered by a user, wherein the question is used to instruct a generation of a text of a target type; obtaining a set of target rules corresponding to the target type from a plurality of preset sets of rules, in which the set of target rules includes a plurality of target rules, and the target rules are rules followed by the target type of text; and according to a sequence of the target rules, inputting the plurality of target rules into a large language model sequentially to obtain a target text of the target type generated by the large language model. In this way, the accuracy of generating text following certain rules by the large language model is improved.
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公开(公告)号：US20250094802A1
公开(公告)日：2025-03-20
申请号：US18965684
申请日：2024-12-02
Inventor： Junyuan SHANG , Guoxia WANG , Yinqi YANG , Shuohuan WANG , Yu SUN
IPC: G06N3/08 , G06F40/284
Abstract: Provided is a model training method, a model reasoning method, an electronic device, and a storage medium, relating to the field of data processing, and especially to the technical fields of artificial intelligence, big data, deep learning and large models. The model training method includes: folding an initial token sequence for training a model based on a folding feature value for folding a token sequence to obtain at least a first token sequence subjected to the folding, wherein the initial token sequence represents a token sequence composed of T1 tokens, and the first token sequence has a sequence length less than that of the initial token sequence; and inputting at least the first token sequence into a preset model to train the preset model so as to obtain a target model.
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公开(公告)号：US20250092387A1
公开(公告)日：2025-03-20
申请号：US18968907
申请日：2024-12-04
Inventor： Yang LIU , Xiaomin FANG , Jie GAO , Xiaonan ZHANG , Jingzhou HE
IPC: C12N15/10
Abstract: A method and an apparatus for optimizing an mRNA sequence, an mRNA molecule, a pharmaceutical composition, and a use thereof are provided. The disclosure relates to the technical field of artificial intelligence, specifically to technical fields such as biological computing. The method for optimizing the mRNA sequence include: obtaining a first mRNA sequence for synthesizing a protein of interest, where the first mRNA sequence includes a 5′ untranslated region sequence and a coding region sequence; and adjusting the 5′ untranslated region sequence and the coding region sequence with the goal of maximizing a first score of the first mRNA sequence, so as to obtain an optimized second mRNA sequence for synthesizing the protein of interest, where the first score reflects at least one of the following indicators of the first mRNA sequence: translation initiation efficiency, codon adaptation index, and minimum free energy.
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公开(公告)号：US20250088484A1
公开(公告)日：2025-03-13
申请号：US18896308
申请日：2024-09-25
Inventor： Qingzhi ZHOU
IPC: H04L9/40
Abstract: A cloud network system, a cloud network message processing method, and an electronic device are provided, which relate to the field of artificial intelligence technology, specifically to the fields of cloud networks and network security, and may be applied to intelligent cloud scenarios. The cloud network message processing method includes: obtaining a cloud network message, where the cloud network message is sent from a source end to a cloud security device; determining a target security device for the cloud network message from pre-configured multiple types of candidate security devices, where the candidate security devices include a built-in security device inside the cloud security device and a third-party security device outside the cloud security device; sending the cloud network message to the target security device for security processing, and sending the security-processed cloud network message from the target security device to a destination end.
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Patent Agency Ranking
公开(公告)号：US20250081336A1
公开(公告)日：2025-03-06
申请号：US18026794
申请日：2022-12-29
Inventor： Yun JI , Zhenwei YU , Yuming WANG , Weibo DONG
Abstract: A printed circuit board (PCB) includes one or more signal layers in between a first surface and a second surface, the one or more signal layers including a first signal layer. The PCB includes a connector interface disposed on the first surface and a first signal via electrically coupled to the connector interface. The PCB includes first transmission line disposed at the first signal layer electrically coupling a first location to a second location of the first signal layer and a second signal via disposed at the second location. The PCB includes a power-over-cable circuit disposed on the first surface and electrically coupled to the second signal via and a receiver circuit disposed on the first surface adjacent to the power-over-cable circuit. The PCB includes a second transmission line disposed on the first surface layer electrically coupling the power-over-cable circuit to the receiver circuit.
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公开(公告)号：US20250078369A1
公开(公告)日：2025-03-06
申请号：US18953942
申请日：2024-11-20
Inventor： Guohao LI , Jiachen LIU , Xinyan XIAO
IPC: G06T11/60 , G06F40/174 , G06F40/186 , G06F40/40 , G06T5/60 , G06T5/70
Abstract: A method is provided that includes: obtaining an editing instruction input by a user in a current round of a dialogue and history dialogue information in at least one history round of the dialogue, wherein the history dialogue information comprises a history dialogue text and at least one history image; determining a source image to be edited from the at least one history image based on the editing instruction and the history dialogue information; and editing the source image to generate a target image based on the editing instruction.
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8.发明申请公开(公告)号：US20250077780A1
公开(公告)日：2025-03-06
申请号：US18748642
申请日：2024-06-20
Inventor： Yongkang Xie , Guming Gao , Penghao Zhao , Xue Xiong , Qian Wang , Dongze Xu , En Shi , Yuxuan Li , Sheng Zhou , Shupeng Li , Yao Wang , Zhou Xin
Abstract: A method for invoking a plugin of a large language model includes: acquiring natural language content; performing semantic understanding on the natural language content and detecting whether the natural language content hits a plugin to obtain a first plugin pointed to by the plugin hit result; comparing the first plugin with a second plugin corresponding to the current session understanding task to determine a to-be-executed session understanding task and a third plugin corresponding to the to-be-executed session understanding task; acquiring the language understanding content of the to-be-executed session understanding task and sending the language understanding content to the large language model to obtain the input parameter of the third plugin; and calling the third plugin according to the input parameter of the third plugin to obtain the calling result of the to-be-executed session understanding task.
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公开(公告)号：US20250069345A1
公开(公告)日：2025-02-27
申请号：US17917518
申请日：2022-04-21
Inventor： Bo JU , Xiaoqing YE , Xiao TAN , Hao SUN
Abstract: Disclosed are a method for generating point cloud data, an electronic device and a storage medium. The method includes: acquiring a set of real point clouds for a target object based on a LiDAR; performing image acquisition on the target object, and generating a set of pseudo point clouds based on an acquired image; and generating the set of target point clouds for model training by fusing the set of real point clouds and the set of pseudo point clouds.
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10.发明申请公开(公告)号：US20250054272A1
公开(公告)日：2025-02-13
申请号：US18749546
申请日：2024-06-20
Inventor： Xu ZHANG
IPC: G06V10/44 , G06V20/70 , H04N19/176
Abstract: The present disclosure provides a method and apparatus for training a reference frame screening model, a method and apparatus for screening a reference frame, an electronic device, a storage medium, and a computer program product, relates to the field of artificial intelligence. An implementation scheme is: acquiring a training sample set, where training samples in the training sample set include a sequence of video frames and labels corresponding to video frames in the sequence of video frames, and the labels are used to represent whether the video frames corresponding to the labels are reference frames of other video frames in the sequence of video frames; and training, using a machine learning method, using the sequence of video frames as input, using the labels corresponding to the input sequence of video frames as desired output, to obtain a reference frame screening model.
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