Abstract: A computer-implemented method is provided for model training performed by a processing system. The method comprises determining a set of first weights based on a first matrix associated with a source model, determining a set of second weights based on the set of first weights, forming a second matrix associated with a target model based on the set of first weights and the set of second weights, initializing the target model based on the second matrix, and training the target model.

Abstract: A terminal is disclosed including a selection unit that selects first resource candidates for sidelink transmission based on monitoring in a sensing window, and specifies second resource candidates by excluding specific periodic resources that are reserved by another terminal from the first resource candidates; and a transmission unit that performs sidelink transmission using a resource selected from the second resource candidates. In another aspect, a transmission method executed by a terminal is also disclosed.

Abstract: A method is provided for quantizing a neural network model performed by a processing system. The method comprises determining a scaling factor based on a distribution of weights associated with the neural network model, determining quantized weights based on the scaling factor and the weights associated with the distribution, determining a training loss of the neural network model based on the quantized weights during training of the neural network model, and determining an updated scaling factor for the neural network model based on a gradient of the training loss.

Abstract: This application proposes a polyamide-imide copolymer film and a flexible display. The polyamide-imide copolymer film is obtained by copolymerizing aromatic dianhydride and aromatic dicarbonyl compound with aromatic diamine. Wherein, the aromatic dicarbonyl compounds include fluorinated aromatic dicarbonyl compound and non-fluorinated aromatic dicarbonyl compound. The polyamide-imide copolymer film can obtain a very low yellow degree index and dual refractive index, which is suitable for the substrate production of flexible display.

Abstract: The present disclosure provides a method and device for intelligent control of heating furnace combustion based on a big data cloud platform, which relates to the technical field of artificial intelligence control. The method includes: construction of big data cloud platform based on production and operation parameters of the heating furnace; identification of key factors in the production process of the heating furnace by using big data mining technology; independent deployment of traditional heating furnace combustion control systems based on the mechanism model; and integration of cloud platform big data expert knowledge base and the heating furnace combustion intelligent control system.

Abstract: Disclosed is a charging station capable of realizing mutual capacity aid, which comprises a plurality of charging units, a power bus and a mutual capacity aid bus. Each charging unit is powered by the power bus, and each charging unit provides mutual aid capacity for another charging unit through the mutual capacity aid bus or receives mutual aid capacity from other charging units through the mutual capacity aid bus. The charging station can realize rapid charging of electric vehicles, and can also realize mutual capacity aid.

Abstract: The present application provides a displaying base plate and a displaying device, which relates to the technical field of displaying. The displaying device can ameliorate the problem of screen greening caused by electrostatic charges, thereby improving the effect of displaying. The displaying base plate includes an active area and a non-active area connected to the active area, the non-active area includes an edge region and a first-dam region, and the first-dam region is located between the active area and the edge region; the displaying base plate further includes: a substrate; an anti-static layer disposed on the substrate, wherein the anti-static layer is located at least within the edge region; and a driving unit and a touch unit that are disposed on the substrate, wherein the driving unit is located within the active area.

Abstract: A data processing method includes: obtaining a first embedding vector for indicating a known data unit and a position of the known data unit and a second embedding vector for indicating a position of a to-be-predicted data unit; processing the first embedding vector by using a target encoder, to obtain an output vector; and processing the output vector and the second embedding vector by using a target prediction network, to obtain a to-be-predicted data unit. According to the method, M pieces of additional position information do not need to be separately set as input of the target encoder, and a quantity of latent variables of intermediate output of the target encoder is also consistent with a quantity of input embedding vectors, thereby reducing a computation amount and memory consumption of the target encoder.

Abstract: A method of labeling data and training a model is provided. The method includes obtaining a set of images. The set of images includes a first subset and a second subset. The first subset is associated with a first set of labels. The method also includes generating a set of pseudo labels for the set of images and a second set of labels for the second subset based on the first subset, the second subset, a first machine learning model, and a domain adaption model. The method further includes generating second machine learning model. The second machine learning model is generated based on the set of images, the set of pseudo labels, the first set of labels, and the second set of labels. The second set of labels is updated based on one or more inferences generated by the second machine learning model.

Abstract: Described are pharmaceutical compositions in fixed dose combinations containing: a) a dofetilide component; and b) a mexiletine component; wherein the dofetilide component and the mexiletine component are physically separated from each other, along with methods of treating or preventing atrial fibrillation or a symptom associated therewith in a subject in need thereof by administering to the subject such a pharmaceutical composition and methods of preparing such fixed dose combination products.

Abstract: A reduced instruction set processor based on a memristor is provided. The memristor is a non-volatile device using a resistor to store “0” and “1” logic while implementing “implication logic” through applying a pair of voltages VCOND/VSET. Various data operations, logic operations, and arithmetic operations may be implemented based on the implication logic. The memristor is a computation and memory fusion device having great potential. A computer processor based on the memristor also becomes the research direction of the next-generation computer processor. The computer processor based on a memristor is designed according to the memory and computation fusion characteristic of the memristor. The processor is different from a traditional computer that must use a special memory and a calculator, and fuses computation and memory. Compared with a traditional computer, the speed, parallelism degree, and power consumption of the computer processor based on the memristor are greatly improved.

Abstract: Disclosed are a towing device for a vehicle and a vehicle. The towing device includes a front end portion and a rear end portion connected to the front end portion, where the front end portion is arranged on a rear floor and a rear floor cross member, so as to disperse an external force borne by the front end portion to the rear floor cross member; and the rear end portion includes a connecting seat and a tow hook connected to the connecting seat and extending out towards an exterior of the vehicle, the connecting seat being arranged on a rear anti-collision beam, so as to transmit an external force borne by the rear end portion to longitudinal members by means of the rear anti-collision beam and energy absorption boxes.

Abstract: A model training method applied to the field of artificial intelligence is disclosed. The method includes: sending a first submodel to a first device, where the first submodel is obtained by compressing a to-be-trained model; receiving a first gradient sent by the first device, where the first gradient is obtained when the first device trains the first submodel; and performing model training on the to-be-trained model based on at least the first gradient, to obtain an updated to-be-trained model. In the method, a server compresses the to-be-trained model and delivers the to-be-trained model to a terminal device, so that the terminal device does not need to train a large model with a same scale as that of the server.

Abstract: A seat assembly includes a seat cushion having an external surface and defining a recess therein, the recess being open to the external surface and being sized to receive one or more bezel components and a trim cover assembly disposed over the seat cushion. The trim cover assembly includes a trim cover having an A-side as an occupant surface and a B-side, opposite the A-side, facing the external surface of the seat cushion, with the trim cover defining a cover opening therethrough generally corresponding to the recess in the seat cushion. The trim cover also has a plurality of flaps spaced about the cover opening, with each flap having an inner portion towards the cover opening and an outer portion opposite the inner portion. The trim cover assembly also includes a bezel support member having an A-surface contacting the B-side of the trim cover, and a B-surface opposite the A-surface.

Abstract: Relating to the field of artificial intelligence, and specifically relating to the field of natural language processing, a data processing method includes and an apparatus performs: determining original text samples, where masking processing is not performed on the original text samples; and performing mask processing on the original text samples to obtain mask training samples, where the mask processing makes mask proportions of the mask training samples unfixed, and the mask training samples each are used to train a pretrained language model PLM. Training the PLM by using the mask training samples whose mask proportions are unfixed can enhance mode diversity of the training samples of the PLM. Therefore, features learned by the PLM are also diversified, a generalization capability of the PLM can be improved, and a natural language understanding capability of the PLM obtained through training can be improved.

Abstract: A seat assembly includes a seat cushion having an external surface and defining a recess therein, the recess being open to the external surface and being sized to receive one or more bezel components and a trim cover assembly disposed over the seat cushion. The trim cover assembly includes a trim cover having an A-side as an occupant surface and a B-side, opposite the A-side, facing the external surface of the seat cushion, with the trim cover defining a cover opening therethrough generally corresponding to the recess in the seat cushion. The trim cover also has a plurality of flaps spaced about the cover opening, with each flap having an inner portion towards the cover opening and an outer portion opposite the inner portion. The trim cover assembly also includes a bezel support member having an A-surface contacting the B-side of the trim cover, and a B-surface opposite the A-surface.

Abstract: The present disclosure provides thermal interface materials that are useful in transferring heat from heat generating electronic devices, such as computer chips, to heat dissipating structures, such as heat spreaders and heat sinks. The thermal interface material is soft and has elastic properties post-curing along with high thermally conductive filler loading. The thermal interface material includes at least one long chain alkyl silicone oil; at least one long chain, vinyl terminated alkyl silicone oil; at least one long chain, single end hydroxyl terminated silicone oil; at least one thermally conductive filler, at least one coupling agent, at least one catalyst, at least one crosslinker, and at least one addition inhibitor.

Abstract: A coating composition comprising: (a) at least one coating agent comprising a perfluoropolyether-modified al-kyloxysilane polymer; and (b) a carrier composition comprising monochloro, trilluoropropene, wherein the carrier is present in an amount effective to at least partially solvate or at least partially emulsify the coating agent. Such compositions may optionally contain one or more other co-carriers or additives. Also disclosed are methods of coating substrates, in particular substrates having a hard surface such as ceramics or glass, to render them water, oil and/or dirt repellent.

Abstract: This application relates to the field of artificial intelligence, and provides a text processing method, a model training method, and an apparatus. The method includes: obtaining target knowledge data; processing the target knowledge data to obtain a target knowledge vector; processing to-be-processed text to obtain a target text vector; fusing the target text vector and the target knowledge vector based on a target fusion model, to obtain a fused target text vector and a fused target knowledge vector; and processing the fused target text vector and/or the fused target knowledge vector based on a target processing model, to obtain a processing result corresponding to a target task. The foregoing technical solution can improve accuracy of a result of processing a target task by the target processing model.

Abstract: The present application relates to the technical field of medicine processing, in particular to a toner, a lysozyme buccal tablet and a preparation method of the lysozyme buccal tablet. The toner is obtained by formulating a pigment suspension through adding purified water into the pigment, then atomizing and spraying the pigment suspension onto dextrin, mixing thoroughly, drying and pulverizing. The application further discloses a lysozyme buccal tablet and a preparation method thereof.