Abstract: The present disclosure provides an integrated circuit chip device and a related product. The integrated circuit chip device includes: a primary processing circuit and a plurality of basic processing circuits. The primary processing circuit or at least one of the plurality of basic processing circuits includes the compression mapping circuits configured to perform compression on each data of a neural network operation. The technical solution provided by the present disclosure has the advantages of a small amount of computations and low power consumption.

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: The application provides a processor and processing method. The processor includes a task segmentation device configured to perform task segmentation according to a task segmentation granularity and a hardware resource division device configured to divide hardware resources of the processor according to a task segmentation result. The processor and processing method provided by the application improve the processing performance and reduce the overhead by performing task segmentation and configuring different hardware according to task segmentation.

Abstract: The application provides an information processing device, system and method. The information processing device mainly includes a storage module and a data processing module, where the storage module is configured to receive and store input data, instruction and output data, and the input data includes one or more key features; the data processing module is configured to identify the key features included in the input data and score the input data in the storage module according to a judgment result. The information processing device, system and method provided by the application automatically scores text, pictures, audio, video, and the like instead of manually scoring, which is more accurate and faster.

Abstract: An example image compression method may include acquiring an original image with a first resolution; compressing the original image on the basis of the target model to obtain a compressed image with a second resolution; recognizing the compressed image on the basis of a recognition neural network model to obtain reference tag information; acquiring a loss function according to the target tag information and the reference tag information; if the loss function is convergent to a first threshold value or the present number of training times of the compression neural network is more than or equal to a second threshold value, acquiring a target original image with the first resolution, and determining the target model as a corresponding compression neural network model if training of the compression neural network is completed; compressing the target original image on the basis of the compression neural network model.

Abstract: An example image compression method may include acquiring an original image with a first resolution; compressing the original image on the basis of the target model to obtain a compressed image with a second resolution; recognizing the compressed image on the basis of a recognition neural network model to obtain reference tag information; acquiring a loss function according to the target tag information and the reference tag information; if the loss function is convergent to a first threshold value or the present number of training times of the compression neural network is more than or equal to a second threshold value, acquiring a target original image with the first resolution, and determining the target model as a corresponding compression neural network model if training of the compression neural network is completed; compressing the target original image on the basis of the compression neural network model.

Abstract: The present disclosure provides a computation device including: a computation module for executing a neural network computation, and a power conversion module connected to the computation module, for converting input data and/or output data of the neural network computation into power data. The present disclosure further provides a computation method. The computation device and method of the present disclosure may reduce the cost of storage resources and computing resources, and may increase the computation speed.

Abstract: The present disclosure provides an operation device, comprising: an operation module for executing a neural network operation; and a power conversion module connected to the operation module, for converting input neuron data and/or output neuron data of the neural network operation into power neuron data. The present disclosure further provides an operation method. The operation device and method according to the present disclosure reduce the cost of storage resources and computing resources and increase the operation speed.

Abstract: Disclosed are a test method, system, and device, as well as a readable storage medium. The test system is used to: set parameters of a test grid used for grid testing to obtain corresponding setting parameters; simulate a virtual test grid corresponding to the setting parameters for the uppermost layer of an operating interface of a tested application; extract a preset number of coordinate data from within the virtual test grid by a preset coordinate extraction rule; acquire a configuration file of the tested application from terminal under test and determine respective area pixel data of various controls of the tested application from the acquired configuration file; test the controls based on the acquired coordinate data and area pixel data by a preset test rule, to obtain respective test data of the various controls; and generate a corresponding test report for the tested application based on the obtained test data.

Abstract: The present invention relates to a method for preparing dimethyl ether from methanol which is carried out in a reaction device arranged with a plurality of catalyst bed layers connected in series, and comprises: dividing the reactant stream that contains methanol into n substreams, and feeding these different substreams into the reaction device through top feed ports or side feed ports between the catalyst bed layers of the reaction device for methanol-to-dimethyl ether reaction; wherein, the temperature T1 of the substream fed into the first catalyst bed layer is controlled within the following range: 290?50K1?T1?150K12?271K1+397.5; where, 1>K1?0.5, and T1 is in unit of ° C.

Abstract: Disclosed are a test method, system, and device, as well as a readable storage medium. The test system is used to: set parameters of a test grid used for grid testing to obtain corresponding setting parameters; simulate a virtual test grid corresponding to the setting parameters for the uppermost layer of an operating interface of a tested application; extract a preset number of coordinate data from within the virtual test grid by a preset coordinate extraction rule; acquire a configuration file of the tested application from terminal under test and determine respective area pixel data of various controls of the tested application from the acquired configuration file; test the controls based on the acquired coordinate data and area pixel data by a preset test rule, to obtain respective test data of the various controls; and generate a corresponding test report for the tested application based on the obtained test data.

Abstract: The disclosure, pertaining, to the field of network technologies, discloses a method for verifying sensitive operations, a terminal device, a server, and a verification system. The method includes: receiving by a verification server, a second verification request from a sensitive operation server; sending, by the verification server, a verification code to a two-dimensional code server; upon receiving a first verification request from a first terminal device, performing verification by the verification server according to the verification information of the first terminal device and the information in the two-dimensional code; and when the user initiating the sensitive operation is a user determined by the identity information, allowing a sensitive operation initiated by the user determined according to the information in the two-dimensional code.

Abstract: The present disclosure discloses a sensitive operation verification method, a terminal device, a server, and a verification system. The method includes: scanning, by a first terminal device, a two-dimensional code for initiating a sensitive operation, and obtaining information in the two-dimensional code, the information in the two-dimensional code being at least used to uniquely determine the sensitive operation; and sending, by the first terminal device, a first verification request to a verification server, the first verification request carrying verification information of the first terminal device and the information in the two-dimensional code.

Abstract: Disclosed is an information display method, a terminal, a security server and a system, which belong to the field of computers. The method comprises: parsing received information which includes corresponding two-dimensional (2D) code carrying content data, the content data containing anti-fake information; acquiring the content data carried in the 2D code, and detecting whether the information is transmitted by a security server according to the anti-fake information contained in the content data; and acquiring content to be displayed corresponding to the information from the security server and displaying the content to be displayed if the information is detected as being transmitted by the security server.

Abstract: The present invention relates to a method for preparing dimethyl ether from methanol which is carried out in a reaction device arranged with a plurality of catalyst bed layers connected in series, and comprises: dividing the reactant stream that contains methanol into n substreams, and feeding these different substreams into the reaction device through top feed ports or side feed ports between the catalyst bed layers of the reaction device for methanol-to-dimethyl ether reaction; wherein, the temperature T1 of the substream fed into the first catalyst bed layer is controlled within the following range: 290?50K1?T1?150K12?271K1+397.5; where, 1>K1?0.5, and T1 is in unit of ° C.

Abstract: Disclosed are a verification method, apparatus, server and system. The method includes: receiving a service request from a terminal; acquiring service data according to the service request received from the terminal; generating a verification question and a standard answer according to the service data; and interacting with the terminal according to the verification question and the standard answer to complete a verification process. The verification question and the standard answer are generated according to the service feature of the service requested by the terminal, and interaction is performed with the terminal according to the verification question and the standard answer to complete the verification process, thereby solving the problem that the network service security cannot be ensured using the verification code technology due to attacks launched by combining the machine and the manpower.

Abstract: Disclosed are a verification method, apparatus, server and system. The method includes: acquiring user data according to user information sent by a terminal, the user data being a set of user network behaviors corresponding to the user information; generating a verification question and a standard answer according to the user data; and interacting with the terminal according to the verification question and the standard answer to complete a verification process. In this way, the user data is acquired, the verification question and the standard answer are generated according to the user data, and an interactive verification is conducted with the terminal according to the verification question and the standard answer.

Abstract: A self-moving tunnel support canopy includes front arch frame, rear arch frame, forward jack, and support jack disposed under the front arch frame. The front arch frame has front arch beams and front longitudinal beams longitudinally disposed along arch upper surfaces of front arch beams and coupled to all the front arch beams. The rear arch frame has rear arch beams and rear longitudinal beams longitudinally disposed along arch upper surfaces of the rear arch beams and coupled to all the rear arch beams. The front longitudinal beams and the rear arch beams are spacedly disposed, and a spacing is configured between the front arch beam and a front-adjacent rear arch beam. One end is coupled to the front arch frame, and the other end of the forward jack is coupled to the rear arch frame. The front arch beam and the rear arch beam are both arch-shaped beams.

Abstract: A co-verification method, a two-dimensional code generation method, and a device and system therefor are provided. The method includes: performing first-type verification and second-type verification with a verification server, the first-type verification including at least one of user information verification, dynamic verification code verification, network shield verification, and token verification, and the second-type verification including two-dimensional verification; and receiving feedback information from the verification server, the feedback information being information sent by the verification server when the first-type verification and the second-type verification are both successful.

Abstract: The disclosure, pertaining, to the field of network technologies, discloses a method for verifying sensitive operations, a terminal device, a server, and a verification system. The method includes: receiving by a verification server, a second verification request from a sensitive operation server sending, by the verification server, a verification code to a two-dimensional code server; upon receiving a first verification request from a first terminal device, performing verification by the verification server according to the verification information of the first terminal device and the information in the two-dimensional code; and when the user initiating the sensitive operation is a user determined by the identity information, allowing a sensitive operation initiated by the user determined according to the information in the two-dimensional code.