Abstract: According to embodiments of the present disclosure, a method and a chip for cyclic code encoding, a circuit component, and an electronic device are provided. The method includes: generating, based on a first symbol sequence related to a first part of symbols in the K payload symbols, a first parity sequence corresponding to the first symbol sequence; generating, based on a second symbol sequence related to a second part of symbols in the K payload symbols, a second parity sequence corresponding to the second symbol sequence, where the first part of symbols are different from the second part of symbols; generating the (N?K) parity symbols based on the first parity sequence and the second parity sequence.

Abstract: A method of operating a microelectronic package includes a processing device stacking vertically with at least one memory device. The method includes a step of: reading data stored in a plurality of memory cells of a plurality of memory units of the memory device, with the processing device, with a plurality of signal channels each of which is dedicated to transmit signals from the processing device to one of the memory units and vice versa.

Abstract: A data transmission method is performed by a first node, and the first node includes X encoding units that perform encoding in a first FEC mode. The method includes: first dividing, by the first node, to-be-encoded data into X groups of initial data, and encoding the X groups of initial data one by one by using the X encoding units, to obtain X groups of encoded data; and then distributing, by the first node, the X groups of encoded data to L links, to send the X groups of encoded data to a second node. Both X×N and X×K are integer multiples of L, N represents a length of a codeword of the first FEC mode, K represents a length of valid information bits in the codeword, and amounts of encoded data distributed to different links are the same.

Abstract: The present disclosure describes methods, devices, and storage medium for generating a natural language description for a media object. The method includes respectively processing, by a device, a media object by using a plurality of natural language description models to obtain a plurality of first feature vectors corresponding to a plurality of feature types. The device includes a memory storing instructions and a processor in communication with the memory. The method also includes fusing, by the device, the plurality of first feature to obtain a second feature vector; and generating, by the device, a natural language description for the media object according to the second feature vector, the natural language description being used for expressing the media object in natural language. The present disclosure resolves the technical problem that natural language description generated for a media object can only give an insufficiently accurate description of the media object.

Abstract: Energy storage devices, battery cells, and batteries may include a battery cell component that may be or include a ceramic layer produced by methods including admixing a ceramic with a water-soluble dispersant to form a first mixture. The methods may include admixing an organic polymeric dispersant with the first mixture to form a second mixture. The methods may include admixing a binder with the second mixture to form a slurry. The methods may also include depositing the slurry on a substrate.

Abstract: The embodiments of the disclosure provide a video description information generation method, a video processing method, and video description information generation apparatus, and a video processing apparatus. The video description information generation method includes: obtaining a frame-level video feature sequence corresponding to a video; generating a global part-of-speech sequence feature of the video according to the video feature sequence, the global part-of-speech sequence feature being a feature of a sequence of a combination of parts of speech in the video; and generating natural language description information of the video according to the global part-of-speech sequence feature and the video feature sequence.

Abstract: An interface of a memory circuit includes a chip enable terminal, at least one data terminal, and a data strobe terminal. The chip enable terminal receives a chip enable signal that varies between a first high voltage and a low voltage for enabling the memory circuit. The at least one data terminal receives at least one first data signal that varies between a second high voltage and the low voltage. The data strobe terminal receives a first data strobe signal that periodically varies between the second high voltage and the low voltage. The first data strobe signal is synchronized with the at least one first data signal, and is arranged to latch and sample the at least one first data signal. The first high voltage is higher than the second high voltage, and the second high voltage is higher than the low voltage.

Abstract: An electrochemical cell has a cathode having a cathode current collector and a cathode active material, an anode having an anode current collector, lithium metal seed, and an anode cap on the lithium metal seed, a liquid electrolyte, a separator between the cathode active material and the anode active material, and a polymer electrolyte lamination layer bonding the anode to the separator. The polymer electrolyte lamination layer is formulated using a crosslinked polymer, a lithium salt, a plasticizer, and an anode additive. The anode cap and the polymer electrolyte lamination layer work together to produce densely plated lithium metal between the lithium metal seed and the anode cap with little or no external pressure.

Abstract: This application provides a video classification method, including: obtaining a video comprising a plurality of video frames; obtaining a visual signal feature sequence corresponding to the video using a first submodel in a video classification prediction model, each visual signal feature corresponding to a respective video frame in the video; obtaining an audio signal feature sequence corresponding to the visual signal feature sequence of the video using a second submodel in the video classification prediction model, each audio signal feature corresponding to a respective visual signal feature in the visual signal feature sequence; generating a target signal feature sequence according to the visual signal feature sequence and the audio signal feature sequence; and predicting a video type of the video based on a classification prediction result obtained from applying the target signal feature sequence to a third submodel in the video classification prediction model.

Abstract: The present disclosure describes a method, apparatus, and storage medium for classifying a multimedia resource. The method includes obtaining a multimedia resource. extracting a plurality of features of the multimedia resource; clustering the plurality of features to obtain at least one cluster set, and determining cluster description information of each cluster set, the each cluster set comprising at least one feature of the multimedia resource; determining at least one piece of target feature description information of the multimedia resource based on the cluster description information of each cluster set, each piece of target feature description information being used for representing an association between one piece of cluster description information and the remaining cluster description information; and classifying the multimedia resource based on the at least one piece of target feature description information of the multimedia resource, to obtain a classification result of the multimedia resource.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining data stored at a storage device using a first processor of an entity correlation system. The data includes information about multiple entities. The first processor generates data arrays using the obtained data. Each data array includes parameter values for multiple entities and is configured for processing at a respective computing cell of a second processor. The system provides the data arrays to the second processor. The second processor is configured to execute a correlation algorithm to concurrently process the data arrays at the respective computing cells. The second processor computes a correlation score based on calculations performed at the cells using the algorithm and the parameter values. The system determines relationships among entities of the data arrays based on the correlation score.

Abstract: The application relates to the field of lithium ion battery technology and, more particularly, relates to a lithium-supplement layer and its negative electrode sheet, a lithium ion battery and a device. The lithium-supplement layer is formed by connecting a transition layer, an oxide layer and a surface layer in sequence, the surface layer contains an appropriate amount of an organic material and a filling substance, which can reduce a winding temperature of the negative electrode sheet, the oxide layer substance in the lithium-supplement layer is used to provide an additional lithium source, after injection, the lithium source can be continuously supplemented during the cycle process to improve the activity of a lithium layer, at the same time, the filling substance contained in the surface layer can effectively play a role of restraining the expansion of an active substance, and improve the battery cycle performance.

Abstract: Provided herein is a topcoat composition comprising at least one fluorosilicone, a hydride-functional crosslinking agent, an infrared-absorbing filler, and at least one dispersant that is non-reactive with the hydride-functional crosslinking agent, by weight based on a total weight of the topcoat composition, wherein the topcoat composition has a degree of crosslinking between about 10 micrograms/hour/milligrams to about 20 micrograms/hour/milligrams. Further provided herein are methods of making the topcoat composition, as well as an imaging blanket and methods of reducing coating defects on a media coated using the imaging member.

Abstract: Embodiments of the present disclosure provide a bend driving control method for an autonomous vehicle, a device and a storage medium, and relate to a field of perception and autonomous driving technologies. The method includes: obtaining an occupancy width of an autonomous vehicle on a target bend when the autonomous vehicle drives on the target bend; detecting location information of an obstacle on the target bend; and controlling a driving route of the autonomous vehicle on the target bend based on the occupancy width and the location information of the obstacle.

Abstract: A method of controlling an autonomous vehicle, an electronic device, and a storage medium, which relate to fields of an artificial intelligence, autonomous driving, intelligent transportation, high-definition maps, cloud services, and Internet of Vehicles technologies. The method includes determining, in response to an obstacle avoidance instruction being received, an obstacle avoidance strategy in lane changing according to first obstacle data of a target obstacle, the obstacle avoidance instruction being generated in response to determining that a first relationship between the target obstacle and a vehicle meets a predetermined collision condition, and the first relationship being generated based on the first obstacle data and first vehicle data of the vehicle; controlling the vehicle to travel according to the obstacle avoidance strategy; and updating a planned path for lane changing in response to a risk relief instruction being received, so that the vehicle travels according to the updated planned path.

Abstract: A video query method includes obtaining a media feature of a query media and a static image feature corresponding to a candidate video. The query media includes the target object, and the candidate video includes the moving object. A video feature of the candidate video is determined according to the static image feature and motion time sequence information of the moving object in the candidate video. Whether the moving object in the candidate video is related to the target object in the query media can be determined according to the media feature and the video feature.

Abstract: A computer-implemented method for integration of machine learning components within a pipelined search query to generate a visualization is described. Herein, an interface is provided for receipt of pipelined code into a web-based programming application. The pipelined code features a series of operators configured to perform one or more tasks based on collective operations by the series of operators, wherein a first operator of the series of operators is to receive input data from a selected data source and each remaining operator of the series of operators to receive input based on an output from a preceding operator of the remaining operators. The task(s) performed by the pipelined code generate results including visualizations. The visualization is rendered in a manner that allows the pipelined code to be scrolled to display the pipelined code or the visualization.

Abstract: Embodiments of the present invention are directed to facilitating distributed data processing for machine learning. In accordance with aspects of the present disclosure, a set of commands in a query to process at an external computing service is identified. For each command in the set of commands, at least one compute unit including at least one operation to perform at the external computing service is identified. Each of the at least one compute unit associated with each command is analyzed to identify an optimized manner in which to execute the set of commands at the external computing service. An indication of the optimized manner in which to execute the set of commands and a corresponding set of data is provided to the external computing service to utilize for executing the set of commands at the external computing service.

Abstract: Embodiments of this application disclose a video classification method, including: obtaining a to-be-processed video; obtaining a visual signal feature sequence corresponding to the to-be-processed video by using a video classification prediction model; obtaining an audio signal feature sequence corresponding to the visual signal feature sequence by using the video classification prediction model; generating a target signal feature sequence according to the visual signal feature sequence and the audio signal feature sequence; and obtaining a classification prediction result corresponding to the target signal feature sequence by using the video classification prediction model, the classification prediction result being used for predicting a video type of the to-be-processed video. The embodiments of this application further disclose a server.

Abstract: To improve the performance of certain multivalent metal electrodes, the electrodes can be treated prior to use in an electrochemical cell by applying a solution comprising an acid to a surface of a multivalent metal electrode, then removing excess solution comprising the acid and drying the surface of the multivalent metal electrode. The resulting electrode has an outer interphase layer comprised of a hydrated hydroxychloride comprising the multivalent metal, where the interphase layer has a thickness of less than 5 µm.