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公开(公告)号：US20210400849A1
公开(公告)日：2021-12-23
申请号：US17403525
申请日：2021-08-16
Inventor： Hu Tang , Binghua Zhang , Tianyu Zhou
Abstract: A cooling system, including a first refrigeration medium, a first evaporator, a first condenser, and an all-condition cooling tower. The first evaporator is installed in a to-be-cooled space, the first evaporator is connected to the first condenser, an installation position of the first condenser is higher than an installation position of the first evaporator; the first condenser is connected to the all-condition cooling tower, and the all-condition cooling tower is disposed outside the to-be-cooled space, the all-condition cooling tower is used for providing the first condenser with a cold source for cooling the first refrigeration medium in a gaseous state.
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公开(公告)号：US20210398026A1
公开(公告)日：2021-12-23
申请号：US17461979
申请日：2021-08-30
Inventor： Lianghui Chen , Yan Fu , Yangjie Zhou , Jun Fang
Abstract: A method includes: sending, by one or more computers, in response to the number of data providers for federated learning being greater than a first threshold, a data field required for the federated learning to a coordinator, the coordinator comprising a computer; receiving, by one or more computers, from the coordinator, information about one or more data providers comprising the required data field, for determining the data providers comprising the required data field as the remaining data providers, wherein the coordinator stores a data field of each data provider; and performing, by one or more computers, federated learning-based modeling with each of the remaining data providers.
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143.发明申请公开(公告)号：US20210390682A1
公开(公告)日：2021-12-16
申请号：US17116597
申请日：2020-12-09
Inventor： Shufei LIN , Jianfeng ZHU , Pengcheng YUAN , Bin ZHANG , Shumin HAN , Yingbo XU , Yuan FENG , Ying XIN , Xiaodi WANG , Jingwei LIU , Shilei WEN , Hongwu ZHANG , Errui DING
Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.
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144.发明申请公开(公告)号：US20210390346A1
公开(公告)日：2021-12-16
申请号：US17354898
申请日：2021-06-22
Inventor： Fei Tian
Abstract: Embodiments of the present disclosure disclose a method and apparatus for training a cross-modal face recognition model, a device and a storage medium. The method may include: acquiring a first modal face recognition model having a predetermined recognition precision; acquiring a first modality image of a face and a second modality image of the face; acquiring a feature value of the first modality image of the face and a feature value of the second modality image of the face; and constructing a loss function based on a difference between the feature value of the first modality image of the face and the feature value of the second modality image of the face, and tuning a parameter of the first modal face recognition model based on the loss function until the loss function converges, to obtain a trained cross-modal face recognition model.
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公开(公告)号：US20210390257A1
公开(公告)日：2021-12-16
申请号：US17116846
申请日：2020-12-09
Inventor： Chao Pang , Shuohuan Wang , Yu Sun , Hua Wu , Haifeng Wang
IPC: G06F40/295 , G06F40/30 , G06F40/137 , G06N5/02
Abstract: A method, an apparatus, a device and a storage medium for learning a knowledge representation are provided. The method can include: sampling a sub-graph of a knowledge graph from a knowledge base; serializing the sub-graph of the knowledge graph to obtain a serialized text; and reading using a pre-trained language model the serialized text in an order in the sub-graph of the knowledge graph, to perform learning to obtain a knowledge representation of each word in the serialized text. The knowledge representation learning in this embodiment is performed for entity and relationship representation learning in the knowledge base.
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Patent Agency Ranking
公开(公告)号：US20210390123A1
公开(公告)日：2021-12-16
申请号：US17445887
申请日：2021-08-25
IPC: G06F16/28 , G06F16/2457
Abstract: An event display method and an event display device are provided. The method includes: acquiring types of events; setting colors for the events based on the types of the events; grouping the events based on starting times and ending times of the respective events; and displaying the events based on the grouping and colors of the events. According to the embodiments, the event type, event distribution and event duration can be intuitively displayed, the user can quickly screen out valid events and quickly acquire valid information of the events, thereby quickly positioning a fault and determining a cause for the fault.
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公开(公告)号：US20210389981A1
公开(公告)日：2021-12-16
申请号：US17176870
申请日：2021-02-16
Abstract: An application construction method and apparatus, an electronic device and a storage medium are provided, which are related to the field of artificial intelligence. The application construction method includes: acquiring a service orchestration file of an application; and determining an execution program of the application based on the service orchestration file, wherein the service orchestration file includes at least one of the following contents corresponding to at least one task obtained by disassembling the application: information relating to a format of data transferred between tasks; information relating to syntax transformation of the data transferred between the tasks; information relating to logical processing between the tasks; and information relating to a model that is to be used by the task.
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148.发明申请公开(公告)号：US20210389148A1
公开(公告)日：2021-12-16
申请号：US17212251
申请日：2021-03-25
Inventor： Hao Liu , Panpan Zhang , Jianguo Duan , Hui Xiong
Abstract: A cross-regional travel recommendation method and apparatus, an electronic device and a storage medium are provided, which relates to the fields of intelligent transportation and deep learning. A specific implementation solution is: acquiring a travel request of a user, the travel request comprising a start point and an end point which are located in different regions; extracting user features according to the travel request of the user; and recommending at least one travel plan to the user according to the user features and a pre-trained cross-regional travel recommendation model. The technical solutions can make up for the deficiency of the existing technology, provide a cross-regional travel plan recommendation under a large-space scale and a multimodal environment through a pre-trained cross-regional travel recommendation model and user features extracted based on a travel request of a user, and can satisfy a cross-regional travel request of the user, and is highly practical.
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149.发明申请公开(公告)号：US20210383802A1
公开(公告)日：2021-12-09
申请号：US17155783
申请日：2021-01-22
Inventor： Yanyan Li , Jianguo Duan , Hui Xiong
Abstract: A method and apparatus for generating a user intention understanding satisfaction evaluation model, a method and apparatus for evaluating a user intention understanding satisfaction, an electronic device and a storage medium are provided, relating to intelligent voice recognition and knowledge graphs. The method for generating a user intention understanding satisfaction evaluation model is: acquiring a plurality of sets of intention understanding data, at least one set of which comprises a plurality of sequences corresponding to multi-round behaviors of an intelligent device in multi-round man-machine interactions; and learning the plurality of sets of intention understanding data through a first machine learning model, to obtain the user intention understanding satisfaction evaluation model after the learning, wherein the user intention understanding satisfaction evaluation model is configured to evaluate user intention understanding satisfactions of the intelligent device in the multi-round man-machine interactions according to the plurality of sequences corresponding to the multi-round man-machine interactions.
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公开(公告)号：US20210383233A1
公开(公告)日：2021-12-09
申请号：US17101748
申请日：2020-11-23
Inventor： Weiyue SU , Shikun FENG , Zhifan ZHU , Weibin LI , Jingzhou HE , Shiwei HUANG
Abstract: The disclosure discloses a method for distilling a model, an electronic device, and a storage medium, and relates to the field of deep learning technologies. A teacher model and a student model are obtained. The second intermediate fully connected layer is transformed into an enlarged fully connected layer and a reduced fully connected layer based on a first data processing capacity of a first intermediate fully connected layer of the teacher model and a second data processing capacity of a second intermediate fully connected layer of the student model. The second intermediate fully connected layer is replaced with the enlarged fully connected layer and the reduced fully connected layer to generate a training student model. The training student model is distilled based on the teacher model.
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