Abstract: A method of fabricating a redistribution circuit structure including the following steps is provided. A conductive via is formed. A photosensitive dielectric layer is formed to cover the conductive via. The photosensitive dielectric layer is partially removed to reveal the conductive via at least through an exposure and development process. A redistribution wiring is formed on the photosensitive dielectric layer and the revealed conductive via.

Abstract: A method of complementing a map of a scene with 3D reference points including four steps. In a first step, data is collected and recorded based on samples of at least one of an optical sensor, a GNSS, and an IMU. A second step includes initial pose generation by processing of the collected sensor data to provide a track of vehicle poses. A pose is based on a specific data set, on at least one data set recoded before that dataset and on at least one data set recorded after that data set. A third step includes SLAM processing of the initial poses and collected optical sensor data to generate keyframes with feature points. In a fourth step 3D reference points are generated by fusion and optimization of the feature points by using future and past feature points together with a feature point at a point of processing. This second and fourth steps provides significantly better results than SLAM or VIO methods known from prior art, as the second and the fourth steps are based on recorded data.

Abstract: A display module includes a back plate, a light guide plate, a rubber frame and a display panel, the light guide plate is fixed on a bearing surface, a connecting line between two end portions of the bearing surface forms a first curve. The first curve includes a circular arc segment and a transition curve segment, and bends in a direction away from the display panel; the circular arc segment is located at the middle, at least one end of the circular arc segment is provided with the transition curve segment; the transition curve segment is located at a first position, the first position being a position of the bearing surface opposite to a second position, the second position being a position where light leaks from the display panel, the radius of curvature of the transition curve increases along a direction close to an end portion of the first curve.

Abstract: A display device and a control method therefor are disclosed. The display device includes: a first backlight module; a second backlight module located at a light emergent side of the first backlight module; and a display panel located at a side of the second backlight module facing away from the first backlight module; where the first backlight module includes a first light board, and the first light board emits light to a side of the second backlight module; the second backlight module includes at least one second light board, second light boards of the at least one second light board are stacked, and the second light boards transmit the light emitted by the first backlight module and emit light to the display panel; the first light board includes a plurality of first light sources, each second light board of the second light boards includes a plurality of second light sources.

Abstract: A curved optical plate includes a curved light exit surface including at least one curved edge and at least one uncurved edge, and at least one first side surface connected to the at least one uncurved edge of the light exit surface; a first side surface includes a first surface, and the first surface extends toward an interior of the curved optical plate.

Abstract: A semiconductor device includes a semiconductor substrate, a plurality of semiconductor dies, a dielectric layer, a connector, and a passivation layer. The plurality of semiconductor dies are stacked on one another and disposed over the semiconductor substrate. The dielectric layer cover a top surface and a side surface of the each of the plurality of semiconductor dies. The connector is disposed over a topmost one of the plurality of semiconductor dies. The passivation layer is disposed over the dielectric layer and laterally surrounds the connector, wherein, from a cross sectional view, an acute angle is included between an outermost side surface of the passivation layer and a bottom surface of the passivation layer.

Abstract: A method includes forming a metal post over a first redistribution structure; attaching a first device die to the first redistribution structure, the first device die comprising a through via embedded in a semiconductor substrate; encapsulating the metal post and the first device die in an encapsulant, a first top surface of the encapsulant being level with a second top surface of the semiconductor substrate; recessing the second top surface to expose the through via; forming a dielectric isolation layer around the through via; forming a dielectric layer over the dielectric isolation layer; etching the dielectric layer to form a first opening and a second opening in the dielectric layer; forming a first metal via in the first opening and a second metal via in the second opening; and forming a second redistribution structure over the dielectric layer.

Abstract: An anti-PD-L1 antibody, or an antigen-binding fragment thereof, comprising: a heavy chain variable region comprising the three CDRs with the sequences of SEQ ID NOs: 2-4, 6-8, 10-12, 14-16, or 18-20; and/or a light chain variable region comprising the three CDRs with the sequences of SEQ ID NOs: 22-24, 26-28, 30-32, 34-36, or 38-40, wherein the antibody is a chimeric, humanized, composite, or human antibody.

Abstract: The present disclosure provides a virus composition. The efficacy of a variety of virus compositions loaded with different functional genes was detected, and several virus compositions with excellent antitumor effect were confirmed.

Abstract: A data processing system includes: a processor; a memory storing executable instructions which, when executed by the processor, cause the processor, alone or in combination with other processors, to implement a client application with a user interface. The client application is configured to: receive an image depicting an object; generate a fine-tuning input to an image-generating Artificial Intelligence (AI) model to associate image data of the object with an identifier; with the fine-tuning input, fine-tune the AI model; structure a prompt for the AI model using the identifier; and obtain from the AI model a new customized image that depicts the object while preserving an appearance of the object.

Abstract: A system for cropping an image is disclosed, which performs receiving a source image and user intention data; determining a target feature based on the user intention data; identifying a plurality of visual features within the source image; determining a contextual relevance between the target feature and each identified visual feature of the source image; identifying, based on the determined contextual relevance between the target feature and each identified visual feature of the source image, one or more cropping candidate portions within the source image; cropping, based on the one or more cropping candidate portions, the source image to generate a plurality of cropped images; and causing the plurality of cropped images to be displayed on a display.

Abstract: A data processing system for requesting a customized image from an image-generating artificial intelligence engine may include a processor and a memory comprising instructions for execution by the processor. The instructions, when executed by the processor, cause the processor to: accept user input from a user, the user input comprising an image; tokenize the image to generate a set of tokens for use by the image-generating artificial intelligence engine; and submit the set of tokens to the image-generating artificial intelligence engine to support a request by the user for a customized image corresponding to the tokenized image.

Abstract: A bidirectional portable energy storage power supply without an adapter includes an energy storage unit, a first full bridge circuit, a resonant network, a second full bridge circuit, a third full bridge circuit and a charging and discharging interface circuit connected in turn. Each of the first full bridge circuit, the second full bridge circuit and the third full bridge circuit can be used as an inverter circuit or a rectification circuit, the charging and discharging interface circuit switchably connected with a mains network and a workload, the resonant network combined with the first full bridge circuit or the second full bridge circuit to implement soft-switching. The present disclosure can implement to bidirectionally charge and discharge the portable energy storage power supply by omitting an external adapter thereof, to improve a charging and discharging conversion efficiency, shorten a charging time and reduce a volume of power supply.

Abstract: A system and method and for retrieving one or more visual assets includes receiving a search query for the one or more visual assets, the search query including textual data, encoding the textual data into one or more text embedding representations via a trained text representation machine-learning (ML) model, transmitting the one or more text embedding representations to a matching and selection unit, providing visual embedding representations of one or more visual assets to the matching and selection unit, comparing, by the matching and selection unit, the one or more text embedding representations to the visual embedding representations to identify one or more visual asset search results, and providing the one or more visual asset search results for display.

Abstract: A computer-implemented method, system, and computer program product for detecting or predicting the occurrence of critical heat flux in cooling systems. A model is built and trained to detect or predict the occurrence of critical heat flux in a cooling system based on acoustic data and/or image data. Such a model may be utilized to detect or predict the occurrence of critical heat flux in a cooling system by converting acoustic signals received from sensors remotely located from the cooling system from the temporal domain to a frequency domain. Furthermore, such a model may be utilized to detect or predict the occurrence of critical heat flux in a cooling system by extracting features from image data and acoustic data obtained from sensors remotely located from the cooling system and then concatenating such features.

Abstract: A computing system including a plurality of processing devices configured to execute a Mixture-of-Experts (MoE) layer included in an MoE model. The processing devices are configured to, in each of a plurality of iterations, at each of the processing devices, receive a respective plurality of input tokens. Executing the MoE layer further includes, at each of the processing devices, selecting one or more destination expert sub-models associated with the input tokens. Respective numbers k of expert sub-models selected differ across the iterations. At each of the processing devices, executing the MoE layer further includes conveying the input tokens to the one or more destination expert sub-models. Executing the MoE layer further includes generating one or more respective expert sub-model outputs at the one or more destination expert sub-models. Executing the MoE layer further includes generating and outputting an MoE layer output based on the one or more expert sub-model outputs.

Abstract: A computing system is provided, including a plurality of processing devices configured to execute a Mixture-of-Experts (MoE) layer included in an MoE model. The MoE layer includes a plurality of expert sub-models that each have a respective plurality of parameter values. The MoE layer is configured to be switchable between a data parallel mode and an expert-data-model parallel mode without conveying the respective parameter values of the expert sub-models among the plurality of processing devices.

Abstract: A computing system including a plurality of processing devices configured to execute a Mixture-of-Experts (MoE) layer included in an MoE model. The processing devices are configured to execute the MoE layer at least in part by, during a first collective communication phase between the processing devices, splitting each of a plurality of first input tensors along a first dimension to obtain first output tensors. Executing the MoE layer further includes processing the first output tensors at a respective a plurality of expert sub-models to obtain a plurality of second input tensors. Executing the MoE layer further includes, during a second collective communication phase between the processing devices, receiving the second input tensors from the expert sub-models and concatenating the second input tensors along the first dimension to obtain second output tensors. Executing the MoE layer further includes outputting the second output tensors as output of the MoE layer.

Abstract: According to implementations of the subject matter described herein, a solution is proposed for three-dimensional (3D) object detection. In this solution, feature representations of a plurality of points are extracted from point cloud data related to a 3D object. Initial feature representations of a set of candidate 3D objects are determined based on the feature representations of the plurality of points. Based on the feature representations of the plurality of points and the initial feature representations of the set of candidate 3D objects, a detection result for the 3D object is generated by determining self-correlations between the set of candidate 3D objects and cross-correlations between the plurality of points and the set of candidate 3D objects. In this way, without grouping points into candidate 3D objects, the 3D object in a 3D scene can be localized and recognized based on the self-correlations and cross-correlations.