Abstract: A method, computer system, and a computer program product for AR guidance is provided. The present invention may include detecting a plurality of objects in a video recording associated with completing a task. The present invention may include generating a plurality of three-dimensional (3D) object models based on scanning a plurality of real objects in a task space. The present invention may include matching the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space. The present invention may include generating, based on the video recording, an augmented reality (AR) guidance model for completing the task, wherein the generated AR guidance model replaces the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space.

Abstract: Systems and methods are provided for analyzing electrocardiogram (ECG) data of a patient using a substantial amount of ECG data. The systems receive ECG data from a sensing device positioned on a patient such as one or more ECG leads. The system may include an application that communicates with an ECG platform running on a server(s) that processes and analyzes the ECG data, e.g., using neural networks for delineation of the cardiac signal and classification of various abnormalities, conditions and/or descriptors. The processed ECG data is communicated from the server(s) for display in a user-friendly and interactive manner with enhanced accuracy.

Abstract: A method for evaluating robustness of one or more target neural network models using natural typos. The method includes receiving one or more natural typo generation rules associated with a first task associated with a first input document type, receiving a first target neural network model, and receiving a first document and corresponding its ground truth labels. The method further includes generating one or more natural typos for the first document based on the one or more natural typo generation rules, and providing, to the first target neural network model, a test document generated based on the first document and the one or more natural typos as an input document to generate a first output. A robustness evaluation result of the first target neural network model is generated based on a comparison between the output and the ground truth labels.

Abstract: A method, computer system, and a computer program product for AR guidance is provided. The present invention may include detecting a plurality of objects in a video recording associated with completing a task. The present invention may include generating a plurality of three-dimensional (3D) object models based on scanning a plurality of real objects in a task space. The present invention may include matching the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space. The present invention may include generating, based on the video recording, an augmented reality (AR) guidance model for completing the task, wherein the generated AR guidance model replaces the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space.

Abstract: The present invention relates to a macrocyclic JAK inhibitor and the use thereof. The present invention specifically relates to a compound as shown in formula I, or a stereoisomer or optical isomer thereof, a pharmaceutically acceptable salt thereof, and a prodrug or solvate thereof, and also relates to a pharmaceutical composition of the compound and the medical use thereof as a JAK inhibitor, and in the preparation of medicaments for preventing and/or treating diseases related to JAK, especially JAK1.

Abstract: The present disclosure relates to a fused ring pyrimidine amino compound and a preparation method, a pharmaceutical composition, and a use thereof. Specifically disclosed in the present disclosure are the compound shown in formula I, a pharmaceutically acceptable salt thereof, a tautomer thereof, a stereoisomer thereof, a metabolite thereof, a metabolic precursor thereof, or a prodrug thereof. The fused ring pyrimidine amino compound of the present application has good inhibitory activity against DDRs, particularly DDR2, and has a good therapeutic effect on tumors and fibrotic diseases, especially pulmonary inflammation and pulmonary fibrosis. Also disclosed in the present disclosure are a preparation method for the compound shown in formula I, and a use thereof.

Abstract: A method of manufacturing a display module which is able to present a split-screen display without a black line prominent at the boundary includes: providing a first circuit substrate including a plurality of first pads, providing a second circuit substrate including a plurality of second pads; bonding the first circuit substrate and the second circuit sub state onto a surface of a heat dissipation plate through a first heat conductive adhesive; and mounting a plurality of light emitting diodes onto the first conductive wiring layer and the third conductive wiring layer, where one light emitting diodes is electrically connected to two first pad, one light emitting diode is electrically connected to one first pad and one second pad, and one light emitting diode is electrically connected to two second pads. A display module including light emitting diodes is also disclosed.

Abstract: Briefly, embodiments of methods and/or systems of generating preference indices for contiguous portions of digital images are disclosed. For one embodiment, as an example, parameters of a neural network may be developed to generate object labels for digital images. The developed parameters may be transferred to a neural network utilized to generate signal sample value levels corresponding to preference indices for contiguous portions of digital images.

Abstract: Systems, devices, media, and methods are presented for identifying and categorically labeling objects within a set of images. The systems and methods receive an image depicting an object of interest, detect at least a portion of the object of interest within the image using a multilayer object model, determine context information, and identify the object of interest included in two or more bounding boxes.

Abstract: Systems and methods are provided for near-zero-cost (NZC) query framework or approach for differentially private deep learning. To protect the privacy of training data during learning, the near-zero-cost query framework transfers knowledge from an ensemble of teacher models trained on partitions of the data to a student model. Privacy guarantees may be understood intuitively and expressed rigorously in terms of differential privacy. Other features are also provided.

Abstract: This application provides an electrical element, a circuit board, and a switching power supply. The electrical element includes a first magnetic core and a second magnetic core disposed opposite to each other. The first magnetic core and the second magnetic core enclose space for accommodating a winding. The first magnetic core and the second magnetic core are further configured to bind a magnetic induction wire. The electrical element further includes a third magnetic core located in the space enclosed by the first magnetic core and the second magnetic core. The third magnetic core is configured to wind the winding. The third magnetic core is fixedly connected to the first magnetic core and the second magnetic core. An air gap is disposed in at least one of the first magnetic core and/or the second magnetic core.

Abstract: A method of improving quality of crowdsourced affective data based on agreement relationship between a plurality of annotators include receiving, by a processor, a collection of stimuli previously given affective labels by the plurality of annotators, executing, by a processor, an algorithm operative to perform the steps including constructing an agreement multigraph as a probabilistic model including a pair-wise status of agreement between the affective labels given by different ones of the plurality of annotators, learning the probabilistic model computationally using the crowdsourced affective data, identifying a reliability of each of the plurality of annotators based on the learned model, and adjusting the crowdsourced affective data by calculating the affective labels of each stimuli based on the identified reliability of each of the plurality of annotators, thereby improving the quality of the crowdsourced affective data.

Abstract: Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system receives a content message from a first content source, and analyzes the content message to determine one or more quality scores and one or more content values associated with the content message. The server computer system analyzes the content message with a plurality of content collections of the database to identify a match between at least one of the one or more content values and a topic associated with at least a first content collection of the one or more content collections and automatically adds the content message to the first content collection based at least in part on the match. In various embodiments, different content values, image processing operations, and content selection operations are used to curate content collections.

Abstract: A manufacturing method of an indium tin oxide (ITO) thin film based on a solution method is disclosed. The manufacturing method includes: a step of providing an array substrate; a step of obtaining a dispersion solution by mixing ITO grains, an organic small molecule phase transfer agent, and an N-chlorosuccinimide (NCs) solution; a step of obtaining uniformly assembled ITO grains by coating the dispersion solution onto a passivation layer and baking to remove the organic small molecule phase transfer agent; and a step of obtaining the ITO thin film by annealing at an inert atmosphere to refine the ITO grains.

Abstract: A transparent circuit board includes a conductive wiring, a transparent insulating layer, and a cover film. The transparent insulating layer and the cover film are stacked along a stacking direction. The conductive wiring penetrates the transparent insulating layer along the stacking direction, and is at least partially embedded in the transparent insulating layer. A blackened layer is formed on a surface of the conductive wiring combined with the cover film, a carbon black layer is formed on a surface of the conductive wiring without the blackened layer, thereby improving a light transmittance of the transparent circuit board. The present invention also provides a method for manufacturing the transparent circuit board.

Abstract: An acoustic environment identification system is disclosed that can use neural networks to accurately identify environments. The acoustic environment identification system can use one or more convolutional neural networks to generate audio feature data. A recursive neural network can process the audio feature data to generate characterization data. The characterization data can be modified using a weighting system that weights signature data items. Classification neural networks can be used to generate a classification of an environment.

Abstract: Embodiments described herein provide an attentive network framework that models dynamic attributes with item and feature interactions. Specifically, the attentive network framework first encodes basket item sequences and dynamic attribute sequences with time-aware padding and time/month encoding to capture the seasonal patterns (e.g. in app recommendation, outdoor activities apps are more suitable for summer time while indoor activity apps are better for winter). Then the attentive network framework applies time-level attention modules on basket items' sequences and dynamic user attributes' sequences to capture basket items to basket items and attributes to attributes temporal sequential patterns. After that, an intra-basket attentive module is used on items in each basket to capture the correlation information among items.

Abstract: Embodiments described herein provides an intent prototypical contrastive learning framework that leverages intent similarities between users with different behavior sequences. Specifically, user behavior sequences are encoded into a plurality of user interest representations. The user interest representations are clustered into a plurality of clusters based on mutual distances among the user interest representations in a representation space. Intention prototypes are determined based on centroids of the clusters. A set of augmented views for user behavior sequences are created and encoded into a set of view representations. A contrastive loss is determined based on the set of augmented views and the plurality of intention prototypes. Model parameters are updated based at least in part on the contrastive loss.

Abstract: A magnetic power component includes a printed circuit board and a magnetic core assembled to the printed circuit board. The magnetic core includes a magnetic core body and a plurality of heat dissipation teeth. The magnetic core body is bonded to the printed circuit board. The plurality of heat dissipation teeth is protruded from an outer surface that is of the magnetic core body and that faces away from the printed circuit board. The plurality of heat dissipation teeth and the magnetic core body are bonded through direct contact.