Abstract: Provided is construction of Mucor circinelloides cell factory for producing stearidonic acid (SDA) and fermentation technology. ?15 Desaturase gene is obtained by cloning from Mortierella alpina, the gene is ligated to an integrative plasmid pMAT1552, and transformed into a Mucor circinelloides defective strain Mu402, and ?15 Desaturase gene is integrated on Mucor circinelloides genome through homologous recombination, to obtain the recombinant strain Mc-?15, finally, the expression of the ?15 Desaturase gene in Mucor circinelloides is realized. The recombinant new strain is accession number CGMCC No. 15888, and the classification name is Mucor circinelloides-D15D.

Abstract: A fully connected operation method and a processing device for performing the same are provided. The fully connected operation method designates distribution data and broadcast data. The distribution data is divided into basic data blocks and distributed to parallel processing units, and the broadcast data is broadcasted to the parallel processing units. Operations between the basic data blocks and the broadcasted data are carried out by the parallel processing units before the results are returned to a main unit for further processing. The technical solutions disclosed by the present disclosure provide short Operation time and low energy consumption.

Abstract: The present disclosure provides a spliced display screen, which includes a plurality of display modules arranged closely and one or more positioning mechanisms installed on each display module, each positioning mechanism includes: a positioning pin and a groove, the one or more positioning pins are clamped in the one or more grooves, the one or more positioning pins and the one or more grooves cooperate to restrict relative movement in the horizontal direction of two adjacent display modules; an elastic structure arranged corresponding to the positioning pin, one end being connected to the display module and the other end being connected to the positioning pin; in response to being subjected to an external force, the one or more positioning pins rotate along a predetermined direction relative to the one or more grooves and leave the one or more grooves; in response to being disengaged from the external force, the one or more positioning pins return to an initial position along a direction opposite to the pred

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 electronic device includes a CPU, an acceleration module, and a memory. The acceleration module is communicatively connected with the CPU, and includes chips. The chip according to an embodiment includes a data bus, and a memory, a data receiver, a computing and processing unit, and a data transmitter connected to the data bus. The data receiver receives first data and header information from outside, writes the first data to a corresponding area of the memory through the data bus, and configures a corresponding computing and processing unit and/or data transmitter according to the header information. The computing and processing unit receives first task information, performs an operation processing according to the first task information and a configuration operation on the data transmitter. The data transmitter obtains second task information and second data, and outputs third data to outside based on at least part of the second data.

Abstract: A matrix-multiplying-matrix operation method and a processing device for performing the same are provided. The matrix-multiplying-matrix method includes distributing, by a main processing circuit, basic data blocks of one matrix and broadcasting the other matrix to a plurality of the basic processing circuits. That way, the basic processing circuits can perform inner-product operations between the basic data blocks and the broadcasted matrix in parallel. The results are then provided back to main processing circuit for combining. The technical solutions proposed by the present disclosure provide short operation time and low energy consumption.

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: 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: 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: 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: 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: 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 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: 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: 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.