Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: The present disclosure discloses a Quality of Service (QoS) adjustment method and apparatus, a device, and a medium, which relate to the field of communications. The method includes: transmitting, by a first network entity, first information to a second network entity. The first information is used to adjust a transmission demand or a QoS parameter or a QoS configuration. The first information comprises at least one of: information related to an air interface; information related to a Radio Access Network (RAN); or information related to a terminal.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.

Abstract: Provide are a method and an apparatus of data transmission. The method is performed by an access network device or a terminal device. The method includes that a first object to which a to-be-transmitted packet belongs is determined, the first object including one of an application, a data flow, a Quality of Service (QoS) flow, an Application Data Unit (ADU), a frame, a coded slice, or a unit set; and the packet is transmitted based on transmission requirements and/or QoS parameters for the first object.

Abstract: A display panel and a display device are provided. The display panel includes: at least one first touch line and at least one second touch line that are located in different layers; and a first dielectric layer located between the at least one first touch line and the at least one second touch line. The display panel has a first region and a second region, in the second region, one of the at least one first touch line is electrically connected to one of the at least one second touch line by passing the first dielectric layer. A thickness A of the first dielectric layer in the first region in a direction perpendicular to a plane of the display panel, and a thickness B of the first dielectric layer in the second region in the direction perpendicular to the plane of the display panel satisfy: A>B?0.

Abstract: The present disclosure relates to a solid-state electrochemical cell having a uniformly distributed solid-state electrolyte and methods of fabrication relating thereto. The method may include forming a plurality of apertures within the one or more solid-state electrodes; impregnating the one or more solid-state electrodes with a solid-state electrolyte precursor solution so as to fill the plurality of apertures and any other void or pores within the one or more electrodes with the solid-state electrolyte precursor solution; and heating the one or more electrodes so as to solidify the solid-state electrolyte precursor solution and to form the distributed solid-state electrolyte.

Abstract: In various aspects, the present disclosure provides solvent-free methods of making a solid-state electrode active layer for a solid-state electrode in an electrochemical cell that cycles lithium ions, by using a plurality of solid polymeric binder particles capable of fibrillation with porous fibrillation particles with a first shear force to at least partially fibrillate the solid polymeric binder particles to form a polymeric binder mixture. The disclosure also contemplates a current collector and a porous active layer disposed thereon. The porous active layer includes a fibrous polymeric network having a plurality of solid particles distributed therein. The solid particles may include electroactive material particles, solid-state electrolyte particles, and porous fibrillation particles.

Abstract: A battery cell includes a continuous anode electrode comprising an anode current collector. A plurality of individual cathode electrodes include a cathode current collector, cathode active material arranged on opposite sides of the cathode current collector, and a first sulfide electrolyte layer arranged on the cathode active material. The continuous anode electrode is arranged in a zig-zag pattern and the plurality of individual cathode electrodes are arranged between adjacent alternating portions of the continuous anode electrode.

Abstract: A bipolar battery includes N battery cores each comprising a cathode electrode, an anode electrode, and a separator, where N is an integer greater than one. N?1 bipolar plates include a first layer made of a first material, a second layer made of a second material, a center portion, and first and second sides extending transversely relative to the center portion. A battery enclosure including a cover and a lower portion including sides defining a cavity. The N?1 bipolar plates are arranged in the cavity between adjacent ones of the N battery cores and the N battery cores are connected in series by the N?1 bipolar plates. The first and second sides of the N?1 bipolar plates are one of inserted into “L”-shaped slots in the sides of the lower portion, and molded into the sides of the lower portion.

Abstract: A method for using slice information includes that: at least one of cell selection, cell measurement, cell search, or cell reselection is performed based on slice information. During performing at least one of the cell selection, the cell measurement, the cell search, or the cell reselection, the slice information can be used to perform a more reasonable cell selection, cell measurement, cell search, and cell reselection in the case of different slice information, such that a UE is more likely to camp on a target cell that can provide a desired slice service.

Abstract: A system white box device utilized in conjunction with an intelligent terminal is provided. The system white box device includes a controller, a memory, and an SIM unit. The controller provides support for management of the memory and call of the SIM unit. The memory provides a physical medium for storing data and an application of the intelligent terminal. The SIM unit provides security support for operation of the application and the system of the intelligent terminal.

Abstract: A system white box device utilized in conjunction with an intelligent terminal is provided. The system white box device includes a controller, a memory, and an SIM unit. The controller provides support for management of the memory and call of the SIM unit. The memory provides a physical medium for storing data and an application of the intelligent terminal. The SIM unit provides security support for operation of the application and the system of the intelligent terminal.

Abstract: A method for processing tensor data for pattern recognition and a computer device are provided. The method includes: constructing a decision function by the optimal projection tensor W which has been rank-one decomposed together with the offset scalar b, and inputting to-be-predicted tensor data which has been rank-one decomposed into the decision function for prediction.

Abstract: Optimization method and system for supervised learning under tensor mode is provided; wherein the method includes: receiving an input training tensor data set; introducing a within class scatter matrix into an objective function such that between class distance is maximized, at the same time, within class distance is minimized by the objective function; constructing an optimal frame of the objective function of an optimal projection tensor machine OPSTM subproblem; constructing an optimal frame of an objective function of an OPSTM problem; solving the revised dual problem and outputting alagrangian optimal combination and an offset scalar b; calculating a projection tensor W*; calculating a optimal projection tensor W; by the W together with the b, constructing a decision function; inputting to-be-predicted tensor data which has been rank-one decomposed into the decision function for prediction.

Abstract: The present invention relates to systems and methods for automated, computer-controlled, tracking and manipulation of motile specimen. The systems and methods of the present invention are suited for tracking and manipulating sperm, particularly for Intracytoplasmic Sperm Injection (ICSI) procedures. The present invention also relates also to devices for holding motile cells, such as sperm, and non-motile cells, such as oocytes. The device of the present invention comprises a sealed chamber having an air outlet, one well for the motile cells, and another well for non-motile cells.

Abstract: The present invention relates to systems and methods for automated, computer-controlled, tracking and manipulation of motile specimen. The systems and methods of the present invention are suited for tracking and manipulating sperm, particularly for Intracytoplasmic Sperm Injection (ICSI) procedures. The present invention also relates also to devices for holding motile cells, such as sperm, and non-motile cells, such as oocytes. The device of the present invention comprises a sealed chamber having an air outlet, one well for the motile cells, and another well for non-motile cells.