Abstract: Embodiments are described for a code generating system comprising a memory and at least one processor coupled to the memory. The at least one processor is configured to receive an instruction to generate a source code and retrieve the code profile from a profile manager. The instruction include a user description and information of a code profile. The at least one processor is further configured to generate a first command by combining the user description and the code profile and transmit the first command to an artificial intelligence (AI) proxy. Finally, the at least one processor is configured to receive the source code from the AI proxy and transmit the source code to a user device.

Abstract: Systems, methods, and devices securely boot processors and nonvolatile memories. Methods include implementing, using a controller of a secured nonvolatile memory, a validation operation on a first portion of code stored in a first secured storage region of the secured nonvolatile memory, the validation operation comprising computing a validation value. Methods also include retrieving a second portion of code from a second secured storage region, the second portion of code comprising a pre-computed validation value, the first and second portion of code being associated with booting a processor, and implementing a comparison operation of the validation value and the pre-computed validation value. Methods further include generating, using the controller, a signal based on a result of the comparison operation, the signal being provided to the processor via an interface of the secured nonvolatile memory, and the signal enabling booting of the processor in response to a matching comparison operation.

Abstract: Embodiments of the present disclosure provide a data mining system, a data mining method, and a storage medium. The data mining system includes a transfer device, a first trusted execution space and a second trusted execution space. The transfer device is configured to receive a data calling request of the second trusted execution space, obtain data to be called from the first trusted execution space according to the data calling request, and provide the data to be called to the second trusted execution space, so as to perform data mining based on the data to be called and the mining-related data to obtain a data mining result and to provide the data mining result to a device of the data user.

Abstract: The present disclosure provides a joint training method and apparatus for models, a device and a storage medium. The method may include: training a first-party model to be trained using a first sample quantity of first-party training samples to obtain first-party feature gradient information; acquiring second-party feature gradient information and second sample quantity information from a second party, where the second-party feature gradient information is obtained by training, by the second party, a second-party model to be trained using a second sample quantity of second-party training samples; and determining model joint gradient information according to the first-party feature gradient information, the second-party feature gradient information, first sample quantity information and the second sample quantity information, and updating the first-party model and the second-party model according to the model joint gradient information.

Abstract: A method for processing commodity information includes: obtaining commodity information of a commodity, in which the commodity information includes a target commodity configuration and a configuration value; obtaining a composite structure of matching conditions associated with the commodity, in which the composite structure is a tree structure of matching conditions with respect to commodity configurations, non-leaf nodes of the tree structure are in an AND-OR relationship, leaf nodes of the tree structure store Boolean expressions, each Boolean expression includes a commodity configuration, a matching value and a matching operator; obtaining a target expression having an AND-OR relationship by traversing the matching conditions in the composite structure; and obtaining a matching result by performing a matching process based on the target expression, the target commodity configuration and the configuration value of the commodity.

Abstract: An image processing method is provided. The image processing method includes: acquiring first second input images; extracting a content feature of the first input image; extracting an attribute feature of the second input image; performing feature fusion and mapping processing on the content feature of the first input image and the attribute feature of the second input image by using a feature transformation network to obtain a target image feature, the target image feature having the content feature of the first input image and the attribute feature of the second input image; and generating an output image based on the target image feature.

Abstract: A face recognition method includes: extracting a first identity feature of a first face image by using a feature extraction module, and extracting a second identity feature of a second face image by using the feature extraction module, wherein the feature extraction module is implemented by using a neural network, and pre-trained in a manner such that a correlation coefficient of training batch data is obtained based on an identity feature and an age feature of a sample face image in the training batch data, and decorrelated training of the identity feature and the age feature is performed on the feature extraction module based on the correlation coefficient; and performing a face recognition based on determining a similarity between faces in the first face image and the second face image according to the first identity feature and the second identity feature.

Abstract: An independent graphics card system comprises an expansion motherboard, a system power supply, at least one expansion graphics card and a fan assembly. The system power supply is electrically connected to the expansion motherboard. The at least one expansion graphics card is plugged into the expansion motherboard through an adapter card. The at least one expansion graphics card is parallel with the expansion motherboard. The fan assembly dissipates heat of the at least one expansion graphics card.

Abstract: Systems, methods, and devices securely boot processors and nonvolatile memories. Methods include implementing, using a controller of a secured nonvolatile memory, a validation operation on a first portion of code stored in a first secured storage region of the secured nonvolatile memory, the validation operation comprising computing a validation value. Methods also include retrieving a second portion of code from a second secured storage region, the second portion of code comprising a pre-computed validation value, the first and second portion of code being associated with booting a processor, and implementing a comparison operation of the validation value and the pre-computed validation value. Methods further include generating, using the controller, a signal based on a result of the comparison operation, the signal being provided to the processor via an interface of the secured nonvolatile memory, and the signal enabling booting of the processor in response to a matching comparison operation.

Abstract: The disclosure provides an image recognition network model training method, including: acquiring a first image feature corresponding to an image set; acquiring a first identity prediction result by using an identity classifier, and acquiring a first pose prediction result by using a pose classifier; obtaining an identity classifier according to the first identity prediction result and an identity tag, and obtaining a pose classifier according to the first pose prediction result and a pose tag; performing pose transformation on the first image feature by using a generator, to obtain a second image feature corresponding to the image set; acquiring a second identity prediction result by using the identity classifier, and acquiring a second pose prediction result by using the pose classifier; and training the generator.

Abstract: The present disclosure discloses a container positioning method and apparatus based on multi-line laser data fusion, the method comprising: acquiring point cloud data of at least two multi-line laser radars, and performing point cloud data fusion according to a coordinate system relationship between the at least two laser radars; performing clustering of scanning lines according to the fused point cloud data, and acquiring an edge point of a top surface or a side surface of a target container according to the clustered scanning lines; acquiring a contour of the top surface or the side surface of the target container according to the edge point of the top surface or the side surface of the target container to determine a central point and a heading angle of the target container so as to determine a position of the target container.

Abstract: A face recognition method includes: extracting a first identity feature of a first face image by using a feature extraction module, and extracting a second identity feature of a second face image by using the feature extraction module, wherein the feature extraction module is implemented by using a neural network, and pre-trained in a manner such that a correlation coefficient of training batch data is obtained based on an identity feature and an age feature of a sample face image in the training batch data, and decorrelated training of the identity feature and the age feature is performed on the feature extraction module based on the correlation coefficient; and performing a face recognition based on determining a similarity between faces in the first face image and the second face image according to the first identity feature and the second identity feature.

Abstract: The present disclosure discloses a container positioning method and apparatus based on multi-line laser data fusion, the method comprising: acquiring point cloud data of at least two multi-line laser radars, and performing point cloud data fusion according to a coordinate system relationship between the at least two laser radars; performing clustering of scanning lines according to the fused point cloud data, and acquiring an edge point of a top surface or a side surface of a target container according to the clustered scanning lines; acquiring a contour of the top surface or the side surface of the target container according to the edge point of the top surface or the side surface of the target container to determine a central point and a heading angle of the target container so as to determine a position of the target container.

Abstract: An electrical connector includes: an insulative housing having a rear base and a front tongue; plural contacts extending rearward through the base and exposing to the tongue; an outer cover enclosing the insulative housing to define a rear chamber therebetween; and a sealing member formed in the chamber to seal an interface between the base and the outer cover and an interface between the base and the contacts, wherein the base has a rear face and a rib protruding rearward from the rear face into the rear chamber.

Abstract: A face recognition method includes: extracting a first identity feature of a first face image by using a feature extraction module, and extracting a second identity feature of a second face image by using the feature extraction module, wherein the feature extraction module is implemented by using a neural network, and pre-trained in a manner such that a correlation coefficient of training batch data is obtained based on an identity feature and an age feature of a sample face image in the training batch data, and decorrelated training of the identity feature and the age feature is performed on the feature extraction module based on the correlation coefficient; and performing a face recognition based on determining a similarity between faces in the first face image and the second face image according to the first identity feature and the second identity feature.

Abstract: A data download technical solution is disclosed. The solution relates to the technical field of artificial intelligence such as cloud computing and big data. The data download method includes receiving a data download request, the data download request including at least one data download task; judging whether the data download request is a new request, request content of which is different from that of a historical data download request; and acquiring a download result corresponding to the at least one data download task based on a judgment result.

Abstract: A method and apparatus for processing network usage of a cloud product, a device, a storage medium and a product, and relates to cloud computing and big data in data processing. The specific implementation is: acquiring traffic usage data of a target cloud product within a preset time interval; determining an algorithm list corresponding to the target cloud product; and invoking all pre-configured algorithms corresponding to identifiers of all the algorithms according to the algorithm list to perform corresponding data processing operations on the traffic usage data to obtain a target network usage corresponding to the target cloud product.

Abstract: The present invention provides a linear quadratic regulator (LQR)-based anti-sway control method for a hoisting system, comprising the following steps: obtaining a target position of a trolley, and obtaining a planned real-time path of the trolley according to the maximum velocity vm and maximum acceleration am of the trolley; establishing a dynamic model of the hoisting system according to a Lagrange's equation, for the Lagrange's equation, the trolley displacement x, the spreader sway angle ?, and the rope length l of the hoisting system being selected as generalized coordinate directions; observing lumped disturbance d using an extended state observer, and compensating for same in a controller, the lumped disturbance d comprising the dynamic model error and external disturbance to the hoisting system; tracking the planned real-time path of the trolley by a Q matrix and an R matrix using a linear quadratic regulator controller.

Abstract: The present invention provides a linear quadratic regulator (LQR)-based anti-sway control method for a hoisting system, comprising the following steps: obtaining a target position of a trolley, and obtaining a planned real-time path of the trolley according to the maximum velocity vm and maximum acceleration am of the trolley; establishing a dynamic model of the hoisting system according to a Lagrange's equation, for the Lagrange's equation, the trolley displacement x, the spreader sway angle ?, and the rope length l of the hoisting system being selected as generalized coordinate directions; observing lumped disturbance d using an extended state observer, and compensating for same in a controller, the lumped disturbance d comprising the dynamic model error and external disturbance to the hoisting system; tracking the planned real-time path of the trolley by a Q matrix and an R matrix using a linear quadratic regulator controller.

Abstract: The present disclosure discloses a method for making an ice surface of an ice rink and an ice rink including the ice surface. In the method, a salt solution is applied to an ice surface. The salt solution contains anions. A concentration of the anions is in a range from about 0.63 mmol/L to about 10 mmol/L. The anions in the salt solution are selected from the group consisting of chloride ions, nitrate ions, bromide ions, iodide ions, chlorate ions, perchlorate ions, thiocyanate ions, and any combination thereof. The ice surface is maintained at a temperature of about ?4° C. to about 14° C. to naturally freeze the salt solution.