Abstract: An image processing method and apparatus, an electronic device and a storage medium are provided. In the method, scene images corresponding to a game area at different viewpoints during a gaming stage are acquired to obtain a plurality of groups of scene images, and each group of scene images in the plurality of groups of scene images includes at least one frame of scene image corresponding to the game area at the same viewpoint; object analysis is performed on the plurality of groups of scene images to obtain object analysis data corresponding to the game area; and the object analysis data is written into an object general-purpose data structure, and the object general-purpose data structure is provided with positions for supporting storage of various types of data related to the object analysis data.

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 are an image processing method, apparatus and device, and a storage medium. The method includes following operations: from multiple images of a preset scene, total information of picture content in each of the multiple images is acquired; among the multiple images, at least two first images in which a change in picture content meets a preset condition are determined based on the total information of the picture content in the multiple images; incremental information of an object that changes is determined in the at least two first images; and the incremental information is fed to an upper-layer service to enable the upper-layer service to conduct a service related to the object based on the incremental information.

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: The present invention relates to 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: The embodiments of the application disclose a method for detecting a game prop in a game region, a device, and a storage medium. The method includes that: an image frame sequence collected from a game region at a game prop operating stage is acquired, the image frame sequence including a first preset frame number of game images and the first preset frame number being more than or equal to 2; target detection is performed on each frame of game image in the image frame sequence to obtain a first set of recognition results belonging to the same game prop, each recognition result at least including a confidence of the game prop; and reliability of the first set of recognition results of the game prop is determined based on all confidences in the first set of recognition results of the game prop and a confidence threshold.

Abstract: Embodiments of the present disclosure relate to a method and an apparatus for processing data, and related products. The embodiments of the present disclosure relate to a board card including a storage component, an interface apparatus, a control component, and an artificial intelligence chip, where 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 realize data transmission between the artificial intelligence chip and the external device. The control component is used to monitor a state of the artificial intelligence chip. The board card may be used to perform artificial intelligence computations.

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: 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: 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: An object recognition method includes: at least two consecutive frames of first images each including an image of at least one target object are acquired; a mapping relationship between each of the first images and a preset standard image associated with the target object is determined; object recognition is performed on the target object in each of the first images based on the mapping relationship to obtain a recognition result of the target object in each of the first images; and a target recognition result of the target object is determined based on the recognition results of the target objects in the at least two consecutive frames of first images.

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: A method and device for identifying a state, electronic device and computer-readable storage medium are provided. The method includes: acquiring a to-be-detected image for a specific scene and determining a region of interest in the to-be-detected image; the region of interest being a region obtained by subtracting an occlusion range of the storage container in a closed state from an occlusion range in an open state; determining a positional relation between the region of interest and specific object regions where the specific objects are positioned in the to-be-detected image; determining at least one value based on values of pixels in the region of interest, when the positional relation represents that there is no specific object region partially overlapping the region of interest; and determining whether the storage container is in an open state or closed state based on the at least one value and a preset value range.

Abstract: Described herein are embodiments of chemically modified neutrophils and pharmaceutical formulations thereof. Also described herein are 4-phenylbutyrate pharmaceutical formulations. Also described herein are methods of chemically modifying neutrophils. Also described herein are treatments for non-resolving inflammation and/or related diseases or conditions, including but not limited to atherosclerosis, cardiovascular disease, stroke, myocardial infarction, neurological disease, and/or a symptom thereof in a subject in need thereof.

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 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: Embodiments of the present disclosure relate to a method and an apparatus for processing data, and related products. The embodiments of the present disclosure provide a board card including a storage component, an interface device, a control component, and an artificial intelligence chip. The artificial intelligence chip is connected to the storage component, the control component, and the interface device, respectively; the storage component is configured to store data; the interface device is configured to implement data transfer between the artificial intelligence chip and external equipment; and the control component is configured to monitor a state of the artificial intelligence chip. The board card is configured to perform artificial intelligence operations.

Abstract: The invention discloses a dual-polarized filtering magneto-electric dipole antenna, which comprises an upper dielectric substrate and a lower dielectric substrate. The upper surface of the upper dielectric substrate is printed with a radiator structure, and the lower dielectric substrate is printed with a slot coupling feed network; the radiator structure comprises four parasitic patches loaded with symmetrical slots. The parasitic patches are loaded with short-circuit probes, and the slot coupling feed network comprises two orthogonal sets of Y-shaped feeders and cross-shaped slots, and the cross-shaped slots are printed on a metal floor. The new parasitic slot structures on the radiator structure increases the bandwidth while introducing a high roll-off band edge filtering effect, and combined with the slot coupling feed network with filtering function to achieve good band-pass filtering characteristics and hardly introduce additional insertion loss.

Abstract: A dual-polarized duplex antenna includes a top-layer dielectric substrate; a metal reflective ground plate below the top-layer dielectric substrate; vertically-placed duplex baluns for duplexing operation between the top-layer dielectric substrate and the metal reflective ground plate; and four dipole arms horizontally printed on an upper surface of the top-layer dielectric substrate. Each of the duplex balun includes a vertical dielectric substrate, a balun feedline printed on a front side of the vertical dielectric substrate, and a ground plane with a printed slot line printed on a reverse side of the vertical dielectric substrate. The balun feedline includes a low-pass filter, a high-pass filter and a microstrip feeding structure serving as a connection. The low-pass filter and the high-pass filter are located on two sides of the slot line, and are connected together by the microstrip feeding structure.

Abstract: Described herein are modified cells and compositions thereof, wherein the cells can have reduced or eliminated Tollip gene and/or protein expression. In some embodiments, the modified cells can be neutrophils. Also described herein are methods of making and using the modified cells and compositions thereof. In some embodiments, the modified cells having reduced or eliminated Tollip gene and/or protein expression can be administered to a subject in need thereof.