Abstract: A tiled display panel includes at least one tiled unit. Each of the at least one tiled unit includes two sub-display panels tiled in a first direction. Each of the two sub-display panels includes at least two binding portions and at least one signal line. The at least two binding portions are respectively located at two ends of the same sub-display panel in the first direction. The at least one signal line is configured to connect the binding portions located at the two ends of the same sub-display panel. The binding portions located at two ends of each of the at least one tiled unit in the first direction are configured to bind a chip on film.

Abstract: This application provides a method for reconstructing a three-dimensional model, a method for training a three-dimensional reconstruction model, an apparatus, a computer device, and a storage medium. The method for reconstructing a three-dimensional model includes: obtaining an image feature coefficient of an input image; respectively obtaining, according to the image feature coefficient, a global feature map and an initial local feature map based on a texture and a shape of the input image; performing edge smoothing on the initial local feature map, to obtain a target local feature map; respectively splicing the global feature map and the target local feature map based on the texture and the shape, to obtain a target texture image and a target shape image; and performing three-dimensional model reconstruction according to the target texture image and the target shape image, to obtain a target three-dimensional model.

Abstract: A display substrate, a display panel, and preparation methods thereof. The display substrate includes a base substrate, a bonding pad, and an insulating layer. The bonding pad is located on one side of the base substrate and includes at least two bonding pad layers stacked in a thickness direction of the base substrate. The insulating layer is located between adjacent two of the bonding pad layers, and the insulating layer includes a via. In adjacent two of the bonding pad layers, the bonding pad layer on the side away from the base substrate extends into the via and is electrically connected to the bonding pad layer on the side close to the base substrate.

Abstract: A driver backplane, display panel, splicing screen and electronic apparatus. The driver backplane includes a drive function layer and a plurality of bonding electrode sets disposed on a side of the drive function layer. In one of the plurality of the bonding electrode columns closest to the first side and serving as a first bonding electrode column, the backup bonding electrodes of at least a part of the bonding electrode sets are disposed on a side of the primary bonding electrodes facing away from the first side.

Abstract: An array substrate and a method for manufacturing an array substrate. The array substrate includes a display region and a non-display region. The non-display region is located at least on one side of the display region. The array substrate also includes a substrate, a driver circuit layer, and a pad layer. The substrate includes a first surface and a second surface that are disposed opposite to each other and a side surface connected to the first surface and the second surface. The driver circuit layer is disposed on the first surface and includes at least one signal layer. The at least one signal layer extends from the display region to the non-display region. The pad layer is disposed in the display region and includes at least one pad. The at least one pad is electrically connected to the at least one signal layer.

Abstract: Various embodiments disclosed in this document relate to an electronic device comprising a camera module and, more specifically, to an electronic device configured to prevent the optical performance (for example, resolution) of a camera module from being degraded by an uneven surface of cover glass (for example, a window). According to various embodiments disclosed in this document, provided is an electronic device comprising: a housing comprising a first plate and a second plate disposed near a lateral or rear side of the first plate; a display disposed between the first plate and the second plate so as to display a screen through at least a part of the first plate; and a camera module for acquiring external information on the basis of light that has passed through at least a part of the first plate.

Abstract: Embodiments of the present disclosure provide methods, devices, systems, and a computer readable medium for controlling an automatic guided vehicle (AGV). In some embodiments of the method, a first load identifier is determined at a first location on a predetermined trajectory of the AGV. The first load identifier represents a first load condition at the first location. A first set of values of a plurality of control parameters is determined based on the first load identifier. A movement of the AGV is controlled based on the first set of values. With these embodiments, the movement of the AGV can be controlled according to a set of values of control parameters based on the load condition.

Abstract: Methods, apparatuses, systems, and computer readable media for configuring a plurality of automated guided vehicles (AGVs). In a method, a plurality of folders corresponding to the plurality of AGVs are created at a management system managing the plurality of AGVs. A folder includes at least one configuration file for configuring an AGV. Based on a configuration file in the folder, a further folder of the plurality of folders is updated. One or more configuration files in the updated further folder are transmitted to an AGV corresponding to the further folder. Further, embodiments of present disclosure provide apparatuses, systems, and computer readable media for managing a plurality of AGVs.

Abstract: An electronic device and a method for controlling an unmanned ground vehicle. The electronic device includes a portable body which has a housing and a cable extending outward from the housing, wherein the cable is adapted to electrically connect the electronic device to an unmanned ground vehicle. The electronic device includes an enabling assembly that has an enabling component at least partially arranged outside the housing, wherein the enabling assembly is adapted to provide an enabling signal to the unmanned ground vehicle via the cable in response to the enabling component being operated. The electronic device includes an operating assembly at least partially arranged outside the housing and adapted to, in response to reception of the enabling signal, provide an operation signal to the unmanned ground vehicle to control an operation of the unmanned ground vehicle.

Abstract: A display module includes a circuit board, an integrated chip, and a pixel chipset. The integrated chip is electrically connected to the circuit board, and the integrated chip includes a first chiplet and a plurality of display pixel drive circuits integrated into the first chiplet. The pixel chipset includes a plurality of light-emitting chips. In addition, at least one pixel chipset is disposed on a surface of a side that is of an integrated chip and that is away from the circuit board, a light-emitting chip disposed on the integrated chip is electrically connected to a display pixel drive circuit in the integrated chip, and the display pixel drive circuit is configured to drive the light-emitting chip to emit light.

Abstract: This application relates to a method and an apparatus for detecting facial key points, a computer device, and a storage medium including: acquiring a to-be-detected face image from a current frame; determining partial images in the to-be-detected face image, each partial image including one or more facial key points; determining, within each of the partial images, candidate points of the one or more facial key points corresponding to the partial image, respectively; and jointly constraining the candidate points in the partial images to determine a set of facial key points from the candidate points for the to-be-detected face image. For the partial images in the entire to-be-detected face image, the candidate points of the facial key points corresponding to the partial images are respectively determined. Therefore, a calculation amount may be reduced, and the efficiency of determining the candidate points of the facial key points is improved.

Abstract: A system can include one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations including: (1) determining, by a predictive algorithm via a machine learning model, one or more predicted bids for one or more keywords in one or more campaigns; (2) adjusting the one or more predicted bids for the one or more keywords in the one or more campaigns; (3) pacing the one or more predicted bids for the one or more keywords by multiplying the one or more predicted bids by a pacing factor; iteratively adding real-time data to a training data set for the predictive algorithm; and iterating (1)-(3) at one or more periodic intervals as the real-time data is added to the training data set. Other embodiments are disclosed herein.

Abstract: A face liveness detection method is performed by an electronic device. The method includes: obtaining an initial face image of an object and a face image set of the object captured at N different illumination directions; obtaining N difference images according to the initial face image and the N face images in the face image set; generating a normal map and an albedo map according to the N difference images and the N illumination directions; and determining a face liveness detection result according to the N difference images, the normal map, and the albedo map, the face liveness detection result indicating whether the object has a live face or not. In this application, three-dimensional (3D) geometric information and surface material information of a face image are considered, thereby recognizing the authenticity of the face image, and effectively resisting different face liveness attack manners.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations including: reducing, using a multilayer perceptron, a dimension of feature embeddings for an item to generate a representation vector; extracting, using a recurrent neural network, sequential data from traffic features for the item; inputting the representation vector and the sequential data into a multilayer neural network, wherein the first scoring layer outputs one or more first performance metrics based on offline learning; and re-purposing the output of the second ReLU activation function of the multilayer neural network by feeding the output of the second ReLU activation function into a second scoring layer to output one or more second performance metrics based on online learning. Other embodiments are disclosed.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and cause the one or more processors to perform (1) receiving a request to generate one or more campaigns; (2) determining one or more predicted bids for one or more keywords in the one or more campaigns; (3) adjusting the one or more predicted bids for the one or more campaigns; (4) pacing the one or more predicted bid, as adjusted, for the one or more campaigns; and repeating (2)-(4) at one or more periodic intervals. Other embodiments are disclosed herein.

Abstract: A display module includes a circuit board, an integrated chip, and a pixel chipset. The integrated chip is electrically connected to the circuit board, and the integrated chip includes a first chiplet and a plurality of display pixel drive circuits integrated into the first chiplet. The pixel chipset includes a plurality of light-emitting chips. In addition, at least one pixel chipset is disposed on a surface of a side that is of an integrated chip and that is away from the circuit board, a light-emitting chip disposed on the integrated chip is electrically connected to a display pixel drive circuit in the integrated chip, and the display pixel drive circuit is configured to drive the light-emitting chip to emit light.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and cause the one or more processors to perform (1) receiving a request to generate one or more campaigns; (2) determining one or more predicted bids for one or more keywords in the one or more campaigns; (3) adjusting the one or more predicted bids for the one or more campaigns; (4) pacing the one or more predicted bid, as adjusted, for the one or more campaigns; and repeating (2)-(4) at one or more periodic intervals. Other embodiments are disclosed herein.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform extracting meta features for an item to generate sparse feature embeddings for the item; reducing, using a multilayer perceptron, a dimension of the sparse feature embeddings to generate a representation vector for the meta features; extracting, using a recurrent neural network, sequential data from dense traffic features for the item over a period of time; and inputting the representation vector for the meta features and the sequential data from the dense traffic features into a multilayer neural network with a rectified linear unit (ReLU) activation function and a scoring layer to generate one or more performance metrics for the item. Other embodiments are disclosed.

Abstract: This application provides a method for reconstructing a three-dimensional model, a method for training a three-dimensional reconstruction model, an apparatus, a computer device, and a storage medium. The method for reconstructing a three-dimensional model includes: obtaining an image feature coefficient of an input image; respectively obtaining, according to the image feature coefficient, a global feature map and an initial local feature map based on a texture and a shape of the input image; performing edge smoothing on the initial local feature map, to obtain a target local feature map; respectively splicing the global feature map and the target local feature map based on the texture and the shape, to obtain a target texture image and a target shape image; and performing three-dimensional model reconstruction according to the target texture image and the target shape image, to obtain a target three-dimensional model.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform receiving a request for a machine learned prediction for an item; determining that a number of entries in item user interaction data of the item is below a predetermined number-of-entries threshold; incorporating category interaction data of a hierarchical category of the item from a predetermined time period into the item user interaction data of the item; determining an initial machine learned prediction for the item using at least the category interaction data, as incorporated into the item user interaction data; and facilitating altering a graphical user interface (GUI) of an electronic device using the initial machine learned prediction for the item. Other embodiments are disclosed herein.