Abstract: A display panel, including an active area and a peripheral area, which is located outside of the active area, wherein the active area comprises a base substrate, and a display structure layer and a touch structure layer sequentially arranged on the base substrate; the peripheral area includes an isolation dam, a first ground trace and a second ground trace arranged on the base substrate; and the first ground trace is located at a side of the isolation dam close to the active area, and the second ground trace is located at a side of the isolation dam away from the active area.

Abstract: The disclosure pertains to a method for isolating DNA fragments that contain a binding site for a guide-RNA of an RNA-guided endonuclease. The method comprises contacting the RNA-guided endonuclease with a target double-stranded DNA, thereby producing a single stranded DNA (ss-DNA) at the site to which the guide-RNA binds. The ssDNA is then reacted with kethoxal or an analog thereof modified by a chemoselective group, thereby adding the chemoselective group to any unpaired guanine based within the ssDNA. A first binding member of a specific binding pair is linked to the chemoselective group, for example, via a cycloaddition reaction. The DNA is fragmented and the DNA fragments that contain the binding sites for the guide-RNA are enriched using a support that comprises a second binding member of the specific binding pair. The method can be used to identify binding sites for a guide-RNA thereby identifying off-target binding sites.

Abstract: A method includes populating a template database with templates associated with template identifiers (IDs) identifying the templates. The method also includes generating a data model that references a template within the template database, where the data model includes a template ID referencing the template in the template database, and where the template includes a parameter field. The data model further includes a template parameter to apply to the parameter field and a digital signature for at least the template ID and the template parameter. The method also includes deploying the data model within a distributed ledger.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating an output that characterizes a scene at a current time step. In one aspect, one of the systems include: a voxel neural network that generates a current early-stage feature representation of the current point cloud, a fusion subsystem that generates a current fused feature representation at the current time step; a backbone neural network that generates a current late-stage feature representation at the current time step, and an output neural network that generate an output that characterizes a scene at the current time step.

Abstract: A first set of features associated with a neural network are parameterized. A decision tree is generated from the first set of features. One or more adjustments for the neural network are received at the decision tree. A second set of features associated with the adjustments at the decision tree are parameterized. The parameterized first and second set of features are combined into a plurality of parameters. From the plurality, an adjusted neural network is generated.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a machine learning model on training data. In one aspect, one of the methods include: obtaining a training data set comprising a plurality of training inputs; obtaining data defining an original search space of a plurality of candidate data augmentation policies; generating, from the original search space, a compact search space that has one or more global hyperparameters; and training the machine learning model on the training data using one or more final data augmentation policies generated from the compact search space.

Abstract: A power transfer system to facilitate the transfer of electrical power between tree trunk sections of an artificial tree is disclosed. The power transfer system can advantageously enable neighboring tree trunk sections to be electrically connected without the need to rotationally align the tree trunk sections. Power distribution subsystems can be disposed within the trunk sections. The power distribution subsystems can comprise a male end, a female end, or both. The male ends can have prongs and the female ends can have voids. The prongs can be inserted into the voids to electrically connect the power distribution subsystems of neighboring tree trunk sections. In some embodiments, the prongs and voids are designed so that the prongs of one power distribution subsystem can engage the voids of another power distribution subsystem without the need to rotationally align the tree trunk sections.

Abstract: This disclosure relates to antibody-drug conjugates (ADCs) comprising an anti-Trop-2 antibody. Provided herein are compositions comprising such ADCs, as well as methods of making and using the same.

Abstract: Techniques for performing visual clustering with a hierarchical graph neural network framework including a joint linkage prediction and density estimation graph model are described. Embodiments herein recurrently run the joint linkage prediction and density estimation graph model to generate intermediate clusters in multiple iterations (e.g., until convergence) to obtain a final clustering result. In certain embodiments, for each iteration, the input graph contains nodes that are merged from nodes assigned to intermediate clusters from the previous iteration. By using a small and fixed bandwidth k in each iteration, embodiments herein alleviate the sensitivity to the k selection for different clustering applications. Certain embodiments herein remove the tuning of a different k (e.g., k-bandwidth) for k-nearest neighbor graph construction over different clustering applications.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for utilizing an encoder-decoder architecture to learn a volumetric 3D representation of an object using digital images of the object from multiple viewpoints to render novel views of the object. For instance, the disclosed systems can utilize patch-based image feature extraction to extract lifted feature representations from images corresponding to different viewpoints of an object. Furthermore, the disclosed systems can model view-dependent transformed feature representations using learned transformation kernels. In addition, the disclosed systems can recurrently and concurrently aggregate the transformed feature representations to generate a 3D voxel representation of the object. Furthermore, the disclosed systems can sample frustum features using the 3D voxel representation and transformation kernels.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for utilizing an encoder-decoder architecture to learn a volumetric 3D representation of an object using digital images of the object from multiple viewpoints to render novel views of the object. For instance, the disclosed systems can utilize patch-based image feature extraction to extract lifted feature representations from images corresponding to different viewpoints of an object. Furthermore, the disclosed systems can model view-dependent transformed feature representations using learned transformation kernels. In addition, the disclosed systems can recurrently and concurrently aggregate the transformed feature representations to generate a 3D voxel representation of the object. Furthermore, the disclosed systems can sample frustum features using the 3D voxel representation and transformation kernels.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for utilizing an encoder-decoder architecture to learn a volumetric 3D representation of an object using digital images of the object from multiple viewpoints to render novel views of the object. For instance, the disclosed systems can utilize patch-based image feature extraction to extract lifted feature representations from images corresponding to different viewpoints of an object. Furthermore, the disclosed systems can model view-dependent transformed feature representations using learned transformation kernels. In addition, the disclosed systems can recurrently and concurrently aggregate the transformed feature representations to generate a 3D voxel representation of the object. Furthermore, the disclosed systems can sample frustum features using the 3D voxel representation and transformation kernels.

Abstract: This application discloses an image segmentation method in the field of artificial intelligence. The method includes: obtaining an input image and a processing requirement; performing multi-layer feature extraction on the input image to obtain a plurality of feature maps; downsampling the plurality of feature maps to obtain a plurality of feature maps with a reference resolution, where the reference resolution is less than a resolution of the input image; fusing the plurality of feature maps with the reference resolution to obtain at least one feature map group; upsampling the feature map group by using a transformation matrix W, to obtain a target feature map group; and performing target processing on the target feature map group based on the processing requirement to obtain a target image.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for utilizing an encoder-decoder architecture to learn a volumetric 3D representation of an object using digital images of the object from multiple viewpoints to render novel views of the object. For instance, the disclosed systems can utilize patch-based image feature extraction to extract lifted feature representations from images corresponding to different viewpoints of an object. Furthermore, the disclosed systems can model view-dependent transformed feature representations using learned transformation kernels. In addition, the disclosed systems can recurrently and concurrently aggregate the transformed feature representations to generate a 3D voxel representation of the object. Furthermore, the disclosed systems can sample frustum features using the 3D voxel representation and transformation kernels.

Abstract: A line isolating power connector can include a housing for connecting with a power cable and a power source, and wires positioned through the housing that include at least a line wire and a neutral wire. The housing is separated by an aperture into a line conduit and a neutral conduit, and the aperture is sized to receive a portion of a contactless power quality probe such that the power quality probe can be connected around the first line conduit or neutral conduit in order to measure power quality in either the line wire or the neutral wire.

Abstract: The present invention relates to quality assurance methods for use in amplification techniques, such as Next Generation Sequencing (NGS).

Abstract: The present invention relates to quality assurance methods for use in amplification techniques, such as Next Generation Sequencing (NGS).

Abstract: The present invention relates to quality assurance methods for use in amplification techniques, such as Next Generation Sequencing (NGS).

Abstract: The present disclosure discloses methods, IM clients, and IM group servers of transmitting Instant Messenger (IM) group communication information. Based on the technical scheme of the embodiments of the present disclosure, upon identifying that group communication information inputted by a user includes a predefined name identifier, an IM client on a sending end sends the group communication information to group users that are listed after the name identifier. In response to identifying that the received group communication information includes the name identifier, an IM client at a receiving end prominently displays the group communication information that includes the name identifier, and sends a user response of the group communication information to users (other than the user himself/herself) that are listed after the name identifier and a user who sends the group communication information.