Abstract: A method includes forming a first transistor, which includes forming a first gate dielectric layer over a first channel region in a substrate and forming a first work-function layer over the first gate dielectric layer, wherein forming the first work-function layer includes depositing a work-function material using first process conditions to form the work-function material having a first proportion of different crystalline orientations and forming a second transistor, which includes forming a second gate dielectric layer over a second channel region in the substrate and forming a second work-function layer over the second gate dielectric layer, wherein forming the second work-function layer includes depositing the work-function material using second process conditions to form the work-function material having a second proportion of different crystalline orientations.

Abstract: One or more techniques or systems for mitigating pattern collapse are provided herein. For example, a semiconductor structure for mitigating pattern collapse is formed. In some embodiments, the semiconductor structure includes an extreme low-k (ELK) dielectric region associated with a via or a metal line. For example, a first metal line portion and a second metal line portion are associated with a first lateral location and a second lateral location, respectively. In some embodiments, the first portion is formed based on a first stage of patterning and the second portion is formed based on a second stage of patterning. In this manner, pattern collapse associated with the semiconductor structure is mitigated, for example.

Abstract: Some embodiments of the present disclosure relate to a processing tool. The tool includes a housing enclosing a processing chamber, and an input/output port configured to pass a wafer through the housing into and out of the processing chamber. A back-side macro-inspection system is arranged within the processing chamber and is configured to image a back side of the wafer. A front-side macro-inspection system is arranged within the processing chamber and is configured to image a front side of the wafer according to a first image resolution. A front-side micro-inspection system is arranged within the processing chamber and is configured to image the front side of the wafer according to a second image resolution which is higher than the first image resolution.

Abstract: A semiconductor device is described. An isolation region is disposed on the substrate. A plurality of channels extend through the isolation region from the substrate. The channels including an active channel and an inactive channel. A dummy fin is disposed on the isolation region and between the active channel and the inactive channel. An active gate is disposed over the active channel and the inactive channel, and contacts the isolation region. A dielectric material extends through the active gate and contacts a top of the dummy fin. The inactive channel is a closest inactive channel to the dielectric material. A long axis of the active channel extends in a first direction. A long axis of the active gate extends in a second direction. The active channel extends in a third direction from the substrate. The dielectric material is closer to the inactive channel than to the active channel.

Abstract: A semiconductor device is manufactured by modifying an electromagnetic field within a deposition chamber. In embodiments in which the deposition process is a sputtering process, the electromagnetic field may be modified by adjusting a distance between a first coil and a mounting platform. In other embodiments, the electromagnetic field may be adjusted by applying or removing power from additional coils that are also present.

Abstract: A method for testing a touch display panel includes: dividing a frame period of the image into a first subframe period and a second subframe period; transmitting pixel data to some subpixels corresponding to a touch sensing electrode in the first subframe period; and transmitting pixel data to the other subpixels corresponding to the touch sensing electrode in the second subframe period. The number of the subpixels receiving pixel data of positive polarity in the some subpixels subtracted by the number of the subpixels receiving pixel data of negative polarity in the some subpixels is defined as a first value, the number of the subpixels receiving pixel data of positive polarity in the other subpixels subtracted by the number of the subpixels receiving pixel data of negative polarity in the other subpixels is defined as a second value, and a sum of the first and second values is 0.

Abstract: A touch display panel, including a pixel circuit substrate, a color filter substrate, and a display medium layer, is provided. The pixel circuit substrate includes pixel structures, data lines, touch sensing electrodes, touch signal lines, and at least one test circuit. Each pixel structure has an active element and a pixel electrode. The data lines are electrically connected to active elements. The touch sensing electrodes are overlapped with pixel electrodes. The touch signal lines are electrically connected to the touch sensing electrodes. The test circuit is electrically connected to at least part of the touch signal lines or the data lines and includes a peripheral line and first and second test pads. The first and second test pads are respectively disposed on a first side and a second side of a display area. The display medium layer is disposed between the pixel circuit substrate and the color filter substrate.

Abstract: A method, an electronic device, and a computer-readable storage medium for performing identification based on multi-modal data are provided. The method includes the following. A data string is obtained. The data string is fed into a first deep neural network to generate a first feature map. Multi-dimensional data is generated based on the data string. The multi-dimensional data is fed into a second deep neural network to generate a second feature map. At least the first feature map and the second feature map are fused into a specific feature vector. The specific feature vector is fed into a machine learning model. The machine learning model outputs an identification result corresponding to the data string in response to the specific feature vector.

Abstract: A medical image analysis method includes: reading an original medical image; performing image classification and object detection on the original medical image to generate a first classification result and a plurality of object detection results by a plurality of complementary artificial intelligence (AI) models; performing object feature integration and transformation on a first detection result and a second detection result among the object detection results to generate a transformation result by a features integration and transformation module; and performing machine learning on the first classification result and the transformation result to generate an image interpretation result by a machine learning module and display the image interpretation result.

Abstract: A touch display panel, including a pixel circuit substrate, a color filter substrate, and a display medium layer, is provided. The pixel circuit substrate includes pixel structures, data lines, touch sensing electrodes, touch signal lines, and at least one test circuit. Each pixel structure has an active element and a pixel electrode. The data lines are electrically connected to active elements. The touch sensing electrodes are overlapped with pixel electrodes. The touch signal lines are electrically connected to the touch sensing electrodes. The test circuit is electrically connected to at least part of the touch signal lines or the data lines and includes a peripheral line and first and second test pads. The first and second test pads are respectively disposed on a first side and a second side of a display area. The display medium layer is disposed between the pixel circuit substrate and the color filter substrate.

Abstract: A medical image analysis method includes: reading an original medical image; performing image classification and object detection on the original medical image to generate a first classification result and a plurality of object detection results by a plurality of complementary artificial intelligence (AI) models; performing object feature integration and transformation on a first detection result and a second detection result among the object detection results to generate a transformation result by a features integration and transformation module; and performing machine learning on the first classification result and the transformation result to generate an image interpretation result by a machine learning module and display the image interpretation result.

Abstract: A method for testing a touch display panel includes: dividing a frame period of the image into a first subframe period and a second subframe period; transmitting pixel data to some subpixels corresponding to a touch sensing electrode in the first subframe period; and transmitting pixel data to the other subpixels corresponding to the touch sensing electrode in the second subframe period. The number of the subpixels receiving pixel data of positive polarity in the some subpixels subtracted by the number of the subpixels receiving pixel data of negative polarity in the some subpixels is defined as a first value, the number of the subpixels receiving pixel data of positive polarity in the other subpixels subtracted by the number of the subpixels receiving pixel data of negative polarity in the other subpixels is defined as a second value, and a sum of the first and second values is 0.

Abstract: A neural network model fusion method and an electronic device using the same are provided. The neural network model fusion method includes the following steps. An image is received. The image is analyzed through several neural network models. The neural network models include at least two of a degree classification model, a multi-class identification model and an object detection model. Several analysis results are obtained according to the neural network models. These analysis results are converted into a number of conversion factors. The conversion factors are inputted into a fusion model to obtain a fusion result.

Abstract: Methods for access control of contract data in a distributed system are provided. The distributed system includes a contract generator, a validation server, a database and a distributed ledger which are in communication via a network, the method including the steps of: at the contract generator, receiving digital contract data from a first electronic device, determining a permission setting for accessing contract content associated with the digital contract data based on the digital contract data, and setting the permission setting to the validation server via the network, obtaining a validation link corresponding to the digital contract data from the validation server, generating contract information for digital contract data according to partial content of the digital contract data and the validation link, and storing the contract information in the distributed ledger.

Abstract: The present invention provides a gate driver circuit used for driving a touch display panel. The gate driver circuit includes a plurality of shift registers, each of the shift registers receives a forward input signal and a backward input signal, and the shift registers sequentially output a plurality of scan signals to the touch display panel according to the forward input signal and the backward input signal, wherein the forward input signal and the backward input signal provided to the shift registers are in phase at least twice in a frame time.

Abstract: A neural network model fusion method and an electronic device using the same are provided. The neural network model fusion method includes the following steps. An image is received. The image is analyzed through several neural network models. The neural network models include at least two of a degree classification model, a multi-class identification model and an object detection model. Several analysis results are obtained according to the neural network models. These analysis results are converted into a number of conversion factors. The conversion factors are inputted into a fusion model to obtain a fusion result.

Abstract: Methods for access control of contract data in a distributed system are provided. The distributed system includes a contract generator, a validation server, a database and a distributed ledger which are in communication via a network, the method including the steps of: at the contract generator, receiving digital contract data from a first electronic device, determining a permission setting for accessing contract content associated with the digital contract data based on the digital contract data, and setting the permission setting to the validation server via the network, obtaining a validation link corresponding to the digital contract data from the validation server, generating contract information for digital contract data according to partial content of the digital contract data and the validation link, and storing the contract information in the distributed ledger.

Abstract: An integrated gate driver circuit includes a control circuit, a plurality of drive stages and a plurality of discharge transistors. The control circuit is configured to output a plurality of clock signals within a frame period and to output a discharge enabling signal within a blanking period of the frame period. Each of the drive stages receives the clock signals and includes an output terminal configured to output a gate driving signal. Each of the discharge transistors is coupled to the output terminal of one of the drive stages and discharges the output terminal according to the discharge enabling signal thereby eliminating the voltage fluctuation of the output terminal in the blanking period.

Abstract: An auto-stereoscopic three-dimensional (3D) display including a display module and a driving module is provided. The display module includes a display panel and a barrier unit. The display panel has odd-column pixels and even-column pixels. The barrier unit coordinates with a left-eye image and a right-eye image displayed by the display panel to switch vertically and alternatively arranged slits and barriers, so as to produce a stereoscopic image in a viewer's eyes through parallax. The driving module provides left-eye image data and right-eye image data to drive the display module. The driving module drives the odd-column and even-column pixels respectively according to different driving timings, so as to respectively and sequentially enables the odd-column and even-column pixels during a plurality of corresponding frame periods to receive the left-eye image data and the right-eye image data and allow the display panel to display the left-eye and right-eye images.

Abstract: A liquid crystal display (LCD) and a shift register device thereof are disclosed. The shift register device includes a plurality of serially connected shift registers for sequentially generating a plurality of scan signals. Each of the shift registers generates one of the scan signals according to a predetermined activating signal and a plurality of clock signals. The shift registers are categorized into a first group, a second group, and a third group. The first group of shift registers and the second group of shift registers have different circuit structures. The second group of shift registers and the third group of shift registers have different circuit structures. The first group of shift registers and the third group of shift registers have different circuit structures.