Abstract: A method for data acquisition, a device and a storage medium are provided. The method includes: determining a data identification intersection between databases of data providers, where the data identification intersection comprises data identifications that are same between the databases of the data providers; constructing a Bloom vector of a Bloom Filter according to the data identification intersection, and sending the Bloom vector to the data providers; receiving candidate data sent by the data providers, where the candidate data is data corresponding to a target data identification, and the target data identification is determined by the data providers from data identifications of respective databases through the Bloom Filter based on the Bloom vector; and selecting target data corresponding to the data identification intersection from the candidate data.

Abstract: Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.

Abstract: The present disclosure relates to a method, a device, and related products for processing data. In an embodiment of the present disclosure, when processing data related to a neural network, an optimal truncation threshold value for a plurality of pieces of data is determined. The data is truncated through the truncation data threshold, and the plurality of pieces of data is quantized from a high-precision format to a low-precision format. The method in the present disclosure can ensure the precision of data processing as high as possible while reducing the amount of data processing. In addition, the method also helps to significantly reduce the amount of data transmission, thereby greatly accelerating the data exchange among a plurality of computing devices.

Abstract: The present application relates to a network-on-chip data processing method. The method is applied to a network-on-chip processing system, the network-on-chip processing system is used for executing machine learning calculation, and the network-on-chip processing system comprises a storage device and a calculation device. The method comprises: accessing the storage device in the network-on-chip processing system by means of a first calculation device in the network-on-chip processing system, and obtaining first operation data; performing an operation on the first operation data by means of the first calculation device to obtain a first operation result; and sending the first operation result to a second calculation device in the network-on-chip processing system. According to the method, operation overhead can be reduced and data read/write efficiency can be improved.

Abstract: Provided herein are compounds of Formula (I), methods of using the compounds as immunomodulators, and pharmaceutical compositions comprising such compounds. The compounds are useful in treating, preventing or ameliorating diseases or disorders such as cancer or infections.

Abstract: A user interface display system and method, a computer device and a storage medium are provided. The user interface display system includes an image acquisition module, a system control module and a display module. The image acquisition module is configured to acquire a scene picture; the system control module is configured to detect whether a target object is present in the scene picture, and track the target object and determine a current position of the target object in a scene in a case that the target object is present; determine a current coordinate point of the current position mapped to an interface coordinate system of a user interface according to the current position of the target object in the scene and a mapping relationship between a pre-established scene coordinate system and the interface coordinate system; and generate update information of interface components in the user interface.

Abstract: A lighting module includes a lighting unit, a cylindrical optical element, a supporting unit, and a base. The supporting unit connects the base and a part of the supporting unit is higher than a junction of the base and the supporting unit. The lighting unit is disposed on the base and includes a lighting surface emitting a light beam. The cylindrical optical element includes an incident surface and both ends of the cylindrical optical element are respectively connected to the supporting unit making the incident surface facing the lighting surface and having an interval from the lighting unit to the incident surface, and the light beam enters the cylindrical optical element from the incident surface. The lighting module satisfies the following condition: 2?D/E?6; wherein D is a diameter of the cylindrical optical element and E is the interval from the lighting unit to the incident surface.

Abstract: A display device includes: a display screen, a drive circuit, a first controller and a second controller. The display screen includes a first display region and a second display region. The drive circuit is configured to transmit a control signal to at least one of the first controller or the second controller. The first controller is configured to, responding to the control signal, perform a display control on the first display region. The second controller is configured to, responding to the control signal, perform a display control on the second display region. A display time difference between the first display region and the second display region is less than a threshold time period.

Abstract: The present disclosure discloses a Lactobacillus plantarum ZUST49 and a bacterial agent, and use thereof, and belongs to the technical field of microorganisms. An aspect of the present disclosure provides a Lactobacillus plantarum ZUST49 and a bacterial agent containing the Lactobacillus plantarum ZUST49, and another aspect provides use of the Lactobacillus plantarum ZUST49 and the bacterial agent containing the Lactobacillus plantarum ZUST49. The Lactobacillus plantarum ZUST49 of the present disclosure may convert glucoraphanin into sulforaphane, especially in a human or animal intestinal environment. After an enteric probiotic preparation prepared from the strain of the present disclosure is orally taken, the Lactobacillus plantarum ZUST49 may efficiently convert the glucoraphanin into the sulforaphane in an intestinal tract, which not only solves a problem that stability of the sulforaphane cannot be improved in the prior art, but also effectively exerts a probiotic effect.

Abstract: An integrated circuit chip apparatus and a processing method performed by an integrated circuit chip apparatus are disclosed. The disclosed integrated circuit chip apparatus and processing method are used for executing a multiplication operation, a convolution operation, or a training operation of a neural network. The present technical solution has the advantages of a reduced computational cost and low power consumption.

Abstract: A method of processing data, an electronic device, and a storage medium are provided. The method includes: acquiring voltage values of a plurality of sub-pixels to be detected in the pixel array; determining a plurality of sub-pixels to be compensated from the plurality of sub-pixels to be detected according to the voltage values of the plurality of sub-pixels to be detected, where differences between the voltage values of the plurality of sub-pixels to be compensated and voltage values of corresponding adjacent sub-pixels are greater than or equal to a first filtering threshold; determining at least one sub-pixel column to be compensated according to a position of the plurality of sub-pixels to be compensated in the pixel array; and performing a filtering compensation on the voltage values of a plurality of sub-pixels in the at least one sub-pixel column to be compensated based on a second filtering threshold.

Abstract: A video merging method, a device, an equipment and a medium are provided, and the method includes: obtaining a first video clip and a second video clip which are to be merged; performing image processing on the first video clip and the second video clip, wherein the first video clip after the image processing and the second video clip after the image processing have a same picture display effect, in which the picture display effect includes an image quality and/or a picture style; performing audio processing on the first video clip and the second video clip, wherein the first video clip after the audio processing and the second video clip after the audio processing have a same background sound; and merging the first video clip after the image processing and the audio processing with the second video clip after the image processing and the audio processing.

Abstract: Provided is a command inspection method, including: inspecting a plurality of to-be-inspected commands based on a plurality of first features of known obfuscated commands and a plurality of second features of normal service commands, to determine a plurality of target commands, each of the target commands being a command having one or more of the first features but none of the second features; obtaining running state text of the plurality of target commands; obtaining suspicious degree information of the plurality of target commands based on the plurality of target commands and the corresponding running state text, the suspicious degree information being used for indicating a possibility that a command is an obfuscated command; and determining, when suspicious degree information of any target command satisfies a target condition, the target command as an obfuscated command.

Abstract: A device for clock control and related products are provided. The device includes a voltage detecting unit and a clock stretching unit. The voltage detecting unit is configured to detect a supply voltage at a target position in the processor, and output a voltage-alarm signal when the supply voltage is lower than or equal to a preset first threshold. The clock stretching unit is connected with the voltage detecting unit and configured to generate a second clock signal according to a first clock signal having a reference frequency in response to reception of the voltage-alarm signal, such that the processor uses the second clock signal to perform data processing. A frequency of the second clock signal is lower than the reference frequency.

Abstract: The present disclosure discloses a neural network processing module, in which a mapping unit is configured to receive an input neuron and a weight, and then process the input neuron and/or the weight to obtain a processed input neuron and a processed weight; and an operation unit is configured to perform an artificial neural network operation on the processed input neuron and the processed weight. Examples of the present disclosure may reduce additional overhead of the device, reduce the amount of access, and improve efficiency of the neural network operation.

Abstract: The present disclosure discloses a neural network processing module, in which a mapping unit is configured to receive an input neuron and a weight, and then process the input neuron and/or the weight to obtain a processed input neuron and a processed weight; and an operation unit is configured to perform an artificial neural network operation on the processed input neuron and the processed weight. Examples of the present disclosure may reduce additional overhead of the device, reduce the amount of access, and improve efficiency of the neural network operation.

Abstract: A secondary battery and an electrical device are disclosed. The secondary battery includes: a positive electrode plate including both a positive current collector and a positive active material layer disposed on the positive current collector; and a negative electrode plate including both a negative current collector and a negative active material layer disposed on the negative current collector; where the secondary battery satisfies: 0.5?(?1/?2)/CB?9.4. The present application balances rates of deintercalating lithium of the positive electrode plate and the negative electrode plate by defining a relationship between a surface density and a Cell Balance (CB) value, so as to prevent the secondary battery from lithium plating or from decreasing the capacity during its operation, thereby increasing the life of the secondary battery.

Abstract: The technical solution involves a board card including a storage component, an interface apparatus, a control component, and an artificial intelligence chip. The artificial intelligence chip is connected to the storage component, the control component, and the interface apparatus, respectively; the storage component is used to store data; the interface apparatus is used to implement data transfer between the artificial intelligence chip and an external device; and the control component is used to monitor a state of the artificial intelligence chip. The board card is used to perform an artificial intelligence operation.

Abstract: The present disclosure relates to a multiplier, a method, an integrated circuit chip, and a computation apparatus for a floating-point computation. The computation apparatus is included in a combined processing apparatus. The combined processing apparatus further includes a universal interconnection interface and other processing apparatus. The computation apparatus interacts with other processing apparatus to jointly complete computing operations specified by the user. The combined processing apparatus also includes a storage apparatus. The storage apparatus is respectively connected to the computation apparatus and other processing apparatus and is used for storing data of the computation apparatus and other processing apparatus. Solutions of the present disclosure is widely used in various floating-point data computations.

Abstract: The present disclosure provides a computation device. The computation device is configured to perform a machine learning computation, and includes an operation unit, a controller unit, and a conversion unit. The storage unit is configured to obtain input data and a computation instruction. The controller unit is configured to extract and parse the computation instruction from the storage unit to obtain one or more operation instructions, and to send the one or more operation instructions and the input data to the operation unit. The operation unit is configured to perform operations on the input data according to one or more operation instructions to obtain a computation result of the computation instruction. In the examples of the present disclosure, the input data involved in machine learning computations is represented by fixed-point data, thereby improving the processing speed and efficiency of training operations.