Abstract: An electrode controls transmittance of a blocking layer over a photodiode of a pixel sensor (e.g., a photodiode of a small pixel detector) by changing oxidation of a metal material included in the blocking layer. By using the electrode to adjust transmittance of the blocking layer, pixel sensors for different uses and/or products may be produced using a single manufacturing process. As a result, power and processing resources are conserved that otherwise would have been expended in switching manufacturing processes. Additionally, production time is decreased (e.g., by eliminating downtime that would otherwise have been used to reconfigure fabrication machines.

Abstract: A transistor structure includes a substrate, a first well region, a second well region, a gate structure, a drift region, a first doped region, a second doped region, and a first isolation structure. The first well region and the second well region are located in the substrate and adjacent to each other. The gate structure is located on the substrate. The drift region is located in the second well region on one side of the gate structure. The first doped region and the second doped region are located in the substrate on two sides of the gate structure. The first doped region is located in the first well region. The second doped region is located in the drift region. The first isolation structure is located in the substrate between the gate structure and the second doped region. The first well region has a first portion lower than a bottom surface of the drift region. The second well region has a second portion lower than the bottom surface of the drift region.

Abstract: The invention discloses a pure end-to-end deep reinforcement learning for training car racing game AI bot that uses only the velocity information extracted from screen for both training and testing phases without using any internal state from game environment, such as the car facing angle. The learned AI bot can play better than the average performance of human players. In addition, the reward function is designed to consist only the velocity value, and use Ape-X distributed training framework combined with a variant of Deep Q Network to solve the sparse training signal problem caused by the reward function of an original design. Moreover, limit learner rate method is designed that improves the training efficiency and training performance. The AI bot trained in this way can achieve performance beyond the average human level and reach a level close to professional players.

Abstract: A method and apparatus for inter prediction in video coding system are disclosed. According to the method, input data associated with a current block comprising at least one colour block are received. A blending predictor is determined according to a weighted sum of at least two candidate predictions generated based on one or more first hypotheses of prediction, one or more second hypotheses of prediction, or both. The first hypotheses of prediction are generated based on one or more intra prediction modes comprising a DC mode, a planar mode or at least one angular modes. The second hypotheses of prediction are generated based on one or more cross-component modes and a collocated block of said at least one colour block. The input data associated with the colour block is encoded or decoded using the blending predictor.

Abstract: A video coding system that uses multiple models to predict chroma samples is provided. The video coding system receives data for a block of pixels to be encoded or decoded as a current block of a current picture of a video. The system constructs two or more chroma prediction models based on luma and chroma samples neighboring the current block. The system applies the two or more chroma prediction models to incoming or reconstructed luma samples of the current block to produce two or more model predictions. The system computes predicted chroma samples by combining the two or more model predictions. The system uses the predicted chroma samples to reconstruct chroma samples of the current block or to encode the current block.

Abstract: A package structure including a packaging substrate, a semiconductor device, passive components, a lid, and a dam structure is provided. The semiconductor device is disposed on and electrically connected to the packaging substrate. The passive components are disposed on the packaging substrate, wherein the semiconductor device is surrounded by the passive components. The lid is disposed on the packaging substrate, and the lid covers the semiconductor device and the passive components. The dam structure is disposed between the packaging substrate and the lid, wherein the dam structure covers the passive components and laterally encloses the semiconductor device.

Abstract: An integrated circuit device includes a Janus transition metal dichalcogenide layer, a first gate structure, and a second gate structure. The Janus transition metal dichalcogenide layer has opposite first and second sides. The first gate structure is on the first side of the Janus transition metal dichalcogenide layer. A second gate structure is on the second side of the Janus transition metal dichalcogenide layer.

Abstract: A method for embedding a data network graph includes: performing node feature extraction on a data network graph and a negative sample network graph using a first network embedding model, to obtain a positive sample embedding vector and a negative sample embedding vector performing node feature extraction on a first enhanced graph and a second enhanced graph of the data network graph using the first network embedding model, to obtain a first global embedding vector and a second global embedding vector; determining a first matching degree and a second matching degree; adjusting a parameter of the first network embedding model based on a loss value determined based on the first matching degree and the second matching degree; and performing node feature extraction on the data network graph based on an adjusted first network embedding model, to obtain an embedding vector configured for classifying each node in the data network graph.

Abstract: An isolated bacterial strain of Lactiplantibacillus plantarum subsp. plantarum MFM 30-3 deposited under the DSMZ Accession No. DSM 34213 is provided; a probiotic composition including an Lactiplantibacillus plantarum subsp. plantarum MFM 30-3 and optionally, one or more additional probiotic organisms that enhance the probiotic activity of the Lactiplantibacillus plantarum subsp. plantarum MFM 30-3 is also provided; and a method for preventing or treating chronic kidney disease in a subject in need thereof including: administering to the subject a pharmaceutically effective amount of the probiotic composition including an isolated bacterial strain of Lactiplantibacillus plantarum subsp. plantarum MFM 30-3, and optionally, one or more additional probiotic organisms that enhance the probiotic activity of the Lactiplantibacillus plantarum subsp. plantarum MFM 30-3 is further provided.

Abstract: A video coding system that uses multiple models to predict chroma samples is provided. The video coding system receives data for a block of pixels to be encoded or decoded as a current block of a current picture of a video. The video coding system derives multiple prediction linear models based on luma and chroma samples neighboring the current block. The video coding system constructs a composite linear model based on the multiple prediction linear models. The video coding system applies the composite linear model to incoming or reconstructed luma samples of the current block to generate a chroma predictor of the current block. The video coding system uses the chroma predictor to reconstruct chroma samples of the current block or to encode the current block.

Abstract: In an aspect, a carriage for guided autonomous locomotion may include a computing device configured to produce a safety perimeter, wherein producing further comprises receiving at least an environmental input as a function of an environmental sensor, and producing the safety perimeter as a function of the environmental input, outline at least a corrective action as a function of the safety perimeter, wherein outlining further comprises determining a required force, and outlining the at least a corrective action as a function of the safety perimeter and required force using a corrective machine-learning model, and initiate the at least a corrective action.

Abstract: A positioning method and a multi-radar positioning system are provided. In the positioning method, a first object and a second object are detected by a first radar to obtain a first coordinate and a second coordinate on a first coordinate system respectively. The first object and the second object are detected by a second radar to obtain a third coordinate and a fourth coordinate on a second coordinate system respectively. A first candidate coordinate and a second candidate coordinate of the second radar on the first coordinate system are estimated according to the third coordinate and the fourth coordinate. The first candidate coordinate is selected from the first candidate coordinate and the second candidate coordinate as a first radar coordinate of the second radar according to the first coordinate and the second coordinate. The first radar coordinate is output.

Abstract: Semiconductor packages and methods of forming the same are disclosed. An semiconductor package includes two dies, an encapsulant, a first metal line and a plurality of dummy vias. The encapsulant is disposed between the two dies. The first metal line is disposed over the two dies and the encapsulant, and electrically connected to the two dies. The plurality of dummy vias is disposed over the encapsulant and aside the first metal line.

Abstract: Systems and methods for reducing speckle while maintaining frame rate are disclosed. Multiple sub-images associated with different receive angles are acquired for a single transmit/receive event at an observation angle. The sub-images are compounded to generate a final image with reduced speckle. In some examples, multiple sub-images from multiple transmit/receive events are compounded to generate the final image. The observation angle and/or the receive angles may vary between transmit/receive events in some examples.

Abstract: A method and apparatus for video coding system that uses intra prediction based on cross-colour linear model are disclosed. According to the method, model parameters for a first-colour predictor model are determined and the first-colour predictor model provides a predicted first-colour pixel value according to a combination of at least two corresponding reconstructed second-colour pixel values. According to another method, the first-colour predictor model provides a predicted first-colour pixel value based on a second degree model or higher of one or more corresponding reconstructed second-colour pixel values. First-colour predictors for the current first-colour block are determined according to the first-colour prediction model. The input data are then encoded at the encoder side or decoded at the decoder side using the first-colour predictors.

Abstract: Provided is a display module. The display module includes: a display panel, a first printed circuit board, and a flexible printed circuit board; wherein the display panel is electrically connected to the first printed circuit board, the first printed circuit board is disposed at a back of the display panel, and the flexible printed circuit board includes a first connecting portion, a second connecting portion, and a flexible connecting structure, wherein the flexible connecting structure includes a plurality of stacked connecting bands, two ends of the flexible connecting structure are connected to the first connecting portion and the second connecting portion respectively, the first connecting portion is connected to the first printed circuit board, and the second connecting portion is configured to be connected to the host.

Abstract: An active metal brazing substrate material and a method for producing the same are provided. The active metal brazing substrate material includes a ceramic substrate layer, a first brazing layer, a second brazing layer, and a conductive metal layer that are sequentially stacked. The first brazing layer includes a first metal composite material, which includes silver (Ag), copper (Cu), and a first active metal element. Based on a total weight of the first metal composite material being 100 parts by weight, a silver content is not less than 50 parts by weight. The second brazing layer includes a second metal composite material. The second metal composite material includes a low melting point metal element (e.g., Sn), copper (Cu), and a second active metal element, but does not include silver. A melting point of the low melting metal element is between 130° C. and 350° C.

Abstract: Some embodiments relate to an integrated circuit light sensor device. The integrated circuit light sensor device includes a semiconductor substrate, as well as a plurality of first light-absorption regions and a plurality of second light-absorption regions located in the semiconductor substrate. Each of the first light-absorption regions includes an implantation region of the semiconductor substrate. The implantation region and the semiconductor substrate form at least a portion of a corresponding one of a plurality of first photodetectors for a first light wavelength band. Each of the second light-absorption regions includes a semiconductor material different from the semiconductor substrate. The semiconductor material forms at least a portion of a corresponding one of a plurality of second photodetectors for a second light wavelength band different from the first light wavelength band.

Abstract: An active metal brazing substrate material and a method for producing the same are provided. The active metal brazing substrate material includes a ceramic substrate layer, a first brazing layer, a second brazing layer, and a conductive metal layer that are sequentially stacked. The first brazing layer includes a first metal composite material, which includes silver (Ag), copper (Cu), and a first active metal element. Based on a total weight of the first metal composite material being 100 parts by weight, a silver content is not less than 50 parts by weight. The second brazing layer includes a second metal composite material, which includes aluminum (Al), copper (Cu), and a second active metal element, but does not contain silver. Based on a total weight of the second metal composite material being 100 parts by weight, an aluminum content is not less than 40 parts by weight.

Abstract: Various schemes pertaining to video coding parallelization techniques are described. An apparatus receives video data. The apparatus subsequently calculates a plurality of figures of merits (FOMs), each of the FOM representing how well a particular coding tool may perform in encoding the video data. The apparatus further determines a coding tool that may be suitable for encoding the video data by comparing the FOMs. In determining the coding tool, the apparatus utilizes time-interleaving techniques to parallelly process the video data. The video data may include an array of coding blocks, and the apparatus may receive the video data using a snake-like processing order scanning through the array of coding blocks.