Abstract: The present disclosure relates to a computing device, and related products. The product includes a control unit. The control unit includes an instruction caching unit, an instruction processing unit and a storage queue unit. The instruction caching unit is used for storing a calculation instruction associated with an artificial neural network operation; the instruction processing unit is used for analyzing the calculation instruction to obtain a plurality of operation instructions; and the storage queue unit is used for storing an instruction queue, where the instruction queue includes a plurality of operation instructions or calculation instructions to be executed in the order of the queue. By using the computing device and related products, the present disclosure may improve the operation efficiency of the related products when performing neural network model operations.

Abstract: The present disclosure discloses a data processing circuit, a data processing method, and related products. The data processing circuit is implemented as a computing apparatus included in a combined processing apparatus. The combined processing apparatus further includes an interface apparatus and other processing apparatus. The computing apparatus interacts with other processing apparatus to jointly complete a user specified computation operation. The combined processing apparatus further includes a storage apparatus. The storage apparatus is connected to the computing apparatus and other processing apparatus, respectively. The storage apparatus is used to store data of the computing apparatus and other processing apparatus. The solution disclosed in the present disclosure provides hardware implementation for operations related to structured sparsity, which can simplify processing and improve processing efficiency of a machine.

Abstract: The present invention belongs to the technical field of rock and soil reinforcement, and specifically relates to a plant urease-containing soil solidification agent and a zero-waste production process thereof. A crudely-purified plant urease solution includes a large amount of irrelevant proteins, which seriously affects the treatment effect of the soil solidification agent, makes it impossible to achieve an expected construction purpose, and also causes serious waste and environmental pollution. In the present invention, a common plant urease extraction method on the market is optimized to significantly reduce a protein concentration in a plant urease solution, greatly improve the infiltration performance of a plant urease-containing soil solidification agent, and broaden an application range of such a soil solidification agent.

Abstract: The present disclosure relates to a method and apparatus for sparsification training of a neural network model, a board card, and a readable storage medium. The data processing apparatus of the present disclosure is implemented as a computing apparatus and included in a combined processing apparatus. The combined processing apparatus further includes an interface apparatus and other processing apparatus. The computing apparatus interacts with other processing apparatus to jointly complete a computing operation specified by a user. The combined processing apparatus further includes a storage apparatus. The storage apparatus is connected to the computing apparatus and other processing apparatus, respectively. The storage apparatus is used to store data of the computing apparatus and other processing apparatus.

Abstract: The present disclosure provides a processing device for performing generative adversarial network and a method for machine creation applying the processing device. The processing device includes a memory configured to receive input data including a random noise and reference data, and store a discriminator neural network parameter and a generator neural network parameter, and the processing device further includes a computation device configured to transmit the random noise input data into a generator neural network and perform operation to obtain a noise generation result, and input both of the noise generation result and the reference data into a discriminator neural network and perform operation to obtain a discrimination result, and further configured to update the discriminator neural network parameter and the generator neural network parameter according to the discrimination result.

Abstract: The disclosure provides an information processing device and method. The information processing device includes a storage module a storage module configured to acquire information data, wherein the information data including at least one key feature and the storage module pre-storing true confidence corresponding to the key feature; an operational circuit configured to determine predicted confidence corresponding to the key feature according to the information data and judge whether the predicted confidence of the key feature exceeds a preset threshold value range of the true confidence corresponding to the key feature or not; a controlling circuit configured to control the storage module to modify the key feature or send out a modification signal to the outside when the predicted confidence exceeds the preset threshold value of the true confidence. The information processing device of the disclosure can automatically correct and modify handwriting, text, image or video actions instead of artificial method.

Abstract: An embodiment of the present disclosure provides an operation apparatus which includes a storage unit, a control unit and a compute unit. The technical solution provided in this disclosure can reduce resource consumption of convolution operation, improve the speed of convolution operation and reduce operation time.

Abstract: The present disclosure provides a winograd convolution operation method, a winograd convolution operation apparatus, a device, and a storage medium. The apparatus includes: processors and a memory, where the memory is configured to store a program code, and the processors are configured to call the program code stored in the memory and execute the operation method. Through the operation method, a system, the device and the storage medium of the present disclosure, performance loss of a computer system may be reduced, and operation speed may be improved. Through the present disclosure, processing efficiency may be improved.

Abstract: This disclosure relates to a data processing method, a data processing apparatus, and related products. The products include a control unit. The control unit includes: an instruction caching unit, an instruction processing unit, and a storage queue unit. The instruction caching unit is used for storing a calculation instruction associated with an artificial neural network computation; the instruction processing unit is used for parsing the calculation instruction to obtain a plurality of computation instructions; and the storage queue unit is used for storing an instruction queue, where the instruction queue includes the plurality of computation instructions or calculation instructions to be executed according to a front-back sequence of a queue. Through the above method of this disclosure, computation efficiency of the related products during a neural network model computation may be improved.

Abstract: Provided in the present invention is a diagenetic cementation solution and a method for manufacturing a sand sculpture with the same. The diagenetic cementation solution includes a urease-containing plant powder, urea, calcium salt and a cementation solution, wherein the urease-containing plant powder is dissolved in the cementation solution in a mass ratio of 10:50 to 1:50, a resulting mixture is stirred and left to stand for a period of time, and a supernate is reserved; a mixture of the urea and the calcium salt is dissolved in the supernate in a mass ratio of 1:5 to 1:20. The method for manufacturing a sand sculpture includes: ramming a foundation by means of the diagenetic cementation solution, mounting a form and piling sand, pouring and ramming, and removing the form and carrying out sculpturing.

Abstract: This disclosure relates to a device, a board card, a method and a readable storage medium for performing sparse training on a neural network model, wherein a processing device of the present disclosure is included in an integrated circuit device, and the integrated circuit device comprises a universal interconnection interface and a computation device. The computation device interacts with the processing device to jointly complete computing operations specified by the user. The integrated circuit device further comprises a storage device, and the storage device is connected to the computation device and the processing device, respectively, for data storage of the computation device and the processing device.

Abstract: The present invention belongs to the technical field of rock and soil reinforcement, and specifically relates to a plant urease-containing soil solidification agent and a zero-waste production process thereof. A crudely-purified plant urease solution includes a large amount of irrelevant proteins, which seriously affects the treatment effect of the soil solidification agent, makes it impossible to achieve an expected construction purpose, and also causes serious waste and environmental pollution. In the present invention, a common plant urease extraction method on the market is optimized to significantly reduce a protein concentration in a plant urease solution, greatly improve the infiltration performance of a plant urease-containing soil solidification agent, and broaden an application range of such a soil solidification agent.

Abstract: The present disclosure provides a processing device for performing generative adversarial network and a method for machine creation applying the processing device. The processing device includes a memory configured to receive input data including a random noise and reference data, and store a discriminator neural network parameter and a generator neural network parameter, and the processing device further includes a computation device configured to transmit the random noise input data into a generator neural network and perform operation to obtain a noise generation result, and input both of the noise generation result and the reference data into a discriminator neural network and perform operation to obtain a discrimination result, and further configured to update the discriminator neural network parameter and the generator neural network parameter according to the discrimination result.

Abstract: The disclosure provides an information processing device and method. The information processing device includes a storage module a storage module configured to acquire information data, wherein the information data including at least one key feature and the storage module pre-storing true confidence corresponding to the key feature; an operational circuit configured to determine predicted confidence corresponding to the key feature according to the information data and judge whether the predicted confidence of the key feature exceeds a preset threshold value range of the true confidence corresponding to the key feature or not; a controlling circuit configured to control the storage module to modify the key feature or send out a modification signal to the outside when the predicted confidence exceeds the preset threshold value of the true confidence. The information processing device of the disclosure can automatically correct and modify handwriting, text, image or video actions instead of artificial method.