Abstract: Embodiments of the present disclosure relate to a permission setting method and apparatus, a device, and a medium. The method includes: displaying a permission customization control, in response to a trigger operation on a permission setting object of task information, the permission setting object including a first information object and/or a second information object, the second information object being subordinate to the first information object; displaying a permission editing interface, in response to a trigger operation on the permission customization control, and receiving customization permission information via the permission editing interface; and displaying the customization permission information corresponding to the permission setting object. Therefore, a hierarchy structure based on the task information satisfies a setting need for content-based permission customization, and improves a permission management efficiency.

Abstract: Provided are a payment method, an electronic device and a non-transitory computer-readable storage medium, the payment method is applied to the electronic device. The electronic device includes a first processor and a second processor. The first processor is configured to run a first system, and the second processor is configured to run a second system, where power consumption of the second processor is lower than power consumption of the first processor. The electronic device is in a second system state in which running of the electronic device is controlled under the second system. The method includes: sending, by the second system, a payment instruction to a first system; receiving a payment graphic code that is generated and returned by the first system according to the payment instruction; and making, by the second system, a payment through the received payment graphic code. (FIG.

Abstract: An inter-processor communication method, an electronic assembly, and an electronic device are provided. The electronic device at least includes a first core and a second core. A plurality of communication channels is defined between the first core and the second core. Each of the plurality of communication channels having a communication performance different from each other. The inter-processor communication method includes: acquiring to-be-transmitted data, the to-be-transmitted data is data transmitted between the first core and the second core; acquiring a corresponding communication channel corresponding to the to-be-transmitted data from the plurality of communication channels as a target communication channel; transmitting the to-be-transmitted data via the target communication channel.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating a neural network. The method includes: acquiring a target neural network, the target neural network corresponding to a preset association relationship, and being configured to use two entity vectors corresponding to two entities in a target knowledge graph as an input, to determine whether an association relationship between the two entities corresponding to the inputted two entity vectors is the preset association relationship, the target neural network comprising a relational tensor predetermined for the preset association relationship; converting the relational tensor in the target neural network into a product of a target number of relationship matrices, and generating a candidate neural network comprising the target number of converted relationship matrices; and generating a resulting neural network using the candidate neural network.

Abstract: Provided are a motor for an electric toothbrush and an electric toothbrush having the same. The motor includes a housing and at least one pair of rotor iron core groups fixed within the housing, wherein each rotor iron core group is formed by stacking a plurality of rotor iron cores, each of the plurality of rotor iron cores includes an iron core main body portion and an iron core convex portion protruding outwards from the periphery of the iron core main body portion; and at least one pair of rotor iron core groups are inserted into two axially extending iron core brackets, and the two iron core brackets are each provided with a clamping groove, with the clamping grooves having openings opposite to each other.

Abstract: A term weight determination method includes: obtaining a video and video-associated text, the video-associated text including at least one term; generating a halfway vector of the term by performing multimodal feature fusion on the features of the video, the video-associated text and the at least one term; and generating the weight of the at least one term based on the halfway vector of the at least one term.

Abstract: A content processing method is disclosed, including: obtaining a description text of to-be-processed content and an image included in the to-be-processed content; performing feature extraction on the description text based on text semantics to obtain a text eigenvector; performing feature extraction on the image based on image semantics to obtain an image eigenvector; combining the text eigenvector with the image eigenvector to obtain an image-text multi-modal vector; and generating an estimated click-through rate of the to-be-processed content according to the image-text multi-modal vector.

Abstract: Embodiments of the present disclosure provide a method, apparatus, electronic device, and computer readable storage medium for image-based data processing. The method includes: determining, in response to an inputted query for an image, an attribute associated with an object presented in the image based on a preset mapping between the object and the attribute, further includes: determining a degree of correlation between the object and the query based on the object and the attribute, and still further includes: providing a response to the query based on the degree of correlation between the object and the query. The embodiments of the present disclosure can improve the performance of the system for image-based data processing.

Abstract: Embodiments of the present disclosure disclose a method, apparatus, device, and readable storage medium for image-based data processing. The method comprises: acquiring an image and a to-be-processed text; extracting features of a plurality of objects in the image, and extracting a feature of the text; fusing the features of the plurality of objects into a fused feature of the image based on a matching degree between the feature of the text and a feature of each object of the plurality of objects; and processing the text based on the fused feature of the image and the feature of the text. Embodiments of the present disclosure can accurately learn an association relationship between a text and each object in an image, and improve the processing accuracy.

Abstract: Embodiments of the present disclosure disclose a visual question answering model, an electronic device and a storage medium. The visual question answering model includes an image encoder and a text encoder. The text encoder is configured to perform pooling on a word vector sequence of a question text inputted, so as to extract a semantic representation vector of the question text; and the image encoder is configured to extract an image feature of a given image in combination with the semantic representation vector.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating a neural network. The method includes: acquiring a target neural network, the target neural network corresponding to a preset association relationship, and being configured to use two entity vectors corresponding to two entities in a target knowledge graph as an input, to determine whether an association relationship between the two entities corresponding to the inputted two entity vectors is the preset association relationship, the target neural network comprising a relational tensor predetermined for the preset association relationship; converting the relational tensor in the target neural network into a product of a target number of relationship matrices, and generating a candidate neural network comprising the target number of converted relationship matrices; and generating a resulting neural network using the candidate neural network.

Abstract: Embodiments of the present disclosure disclose a method, apparatus, device, and readable storage medium for image-based data processing. The method comprises: acquiring an image and a to-be-processed text; extracting features of a plurality of objects in the image, and extracting a feature of the text; fusing the features of the plurality of objects into a fused feature of the image based on a matching degree between the feature of the text and a feature of each object of the plurality of objects; and processing the text based on the fused feature of the image and the feature of the text. Embodiments of the present disclosure can accurately learn an association relationship between a text and each object in an image, and improve the processing accuracy.

Abstract: Embodiments of the present disclosure provide a method, apparatus, electronic device, and computer readable storage medium for image-based data processing. The method includes: determining, in response to an inputted query for an image, an attribute associated with an object presented in the image based on a preset mapping between the object and the attribute, further includes: determining a degree of correlation between the object and the query based on the object and the attribute, and still further includes: providing a response to the query based on the degree of correlation between the object and the query. The embodiments of the present disclosure can improve the performance of the system for image-based data processing.

Abstract: A firewall device may include a forwarding component that includes a filter block. The filter block may obtain a first hardware-implemented filter, where a hardware implementation limits the first hardware-implemented filter to a maximum quantity of rules; determine whether a last rule associated with the accessed hardware-implemented filter includes a split-filter action, where the split-filter action identifies a second hardware-implemented filter; and link the second hardware-implemented filter to the first hardware-implemented filter to make the second hardware-implemented filter a logical continuation of the first hardware-implemented filter, in response to determining that the last rule includes the split-filter action.

Abstract: A data read/write system includes a system clock, a single port memory, a cache memory that is separate from the single port memory, and a controller coupled to an instruction pipeline. The controller receives, via the instruction pipeline, first data to write to an address of the single port memory, and further receives, via the instruction pipeline, a request to read second data from the single port memory. The controller stores the first data in the cache memory, and retrieves the second data from either the cache memory or the single port memory during one or more first clock cycles of the system clock. The controller copies the first data from the cache memory and stores the first data at the address in the single port memory during a second clock cycle of the system clock that is different than the one or more first clock cycles.

Abstract: A device may emulate target instructions by executing a first set of microinstructions, and may store a base address of a table that includes a microinstruction provided in a second set of microinstructions for emulating the target instructions. The device may also locate the microinstruction based on the stored base address, and emulate one of the target instructions by executing the microinstruction.

Abstract: A firewall device may include a forwarding component that includes a filter block. The filter block may obtain a first hardware-implemented filter, where a hardware implementation limits the first hardware-implemented filter to a maximum quantity of rules; determine whether a last rule associated with the accessed hardware-implemented filter includes a split-filter action, where the split-filter action identifies a second hardware-implemented filter; and link the second hardware-implemented filter to the first hardware-implemented filter to make the second hardware-implemented filter a logical continuation of the first hardware-implemented filter, in response to determining that the last rule includes the split-filter action.

Abstract: A firewall device may include a forwarding component that includes a filter block. The filter block may obtain a first hardware-implemented filter, where a hardware implementation limits the first hardware-implemented filter to a maximum quantity of rules; determine whether a last rule associated with the accessed hardware-implemented filter includes a split-filter action, where the split-filter action identifies a second hardware-implemented filter; and link the second hardware-implemented filter to the first hardware-implemented filter to make the second hardware-implemented filter a logical continuation of the first hardware-implemented filter, in response to determining that the last rule includes the split-filter action.

Abstract: An example computing device includes a prefix lookup module, and a Bloom filter that includes a set of queues. The prefix lookup module is configured to receive policy configuration information, examine a state of a queue of the set of queues, and determine whether to bypass the first Bloom filter based on the policy configuration information and the state of the queue. In one example, the prefix lookup module may be configured to, using the policy configuration information, determine to bypass the Bloom filter when the queue is full. In another example, the prefix lookup module may be configured to, using the policy configuration information, determine not to bypass the Bloom filter and send a lookup request to the Bloom filter upon determining that the queue is no longer full.