Abstract: A pixel driving device includes at least one data line and at least one driver integrated circuit. The at least one data line includes a first area and a second area on both sides. The first area and the second area are separated by the at least one data line. The at least one driver integrated circuit includes a first circuit and a second circuit. The first circuit is disposed in the first area, is configured to receive at least one first high-frequency signal so as to at least one first driving signal. The second circuit is disposed in the second area, is coupled to the first circuit and is configured to receive at least one low-frequency signal.

Abstract: A semiconductor structure includes: a U-metal-oxide-semiconductor field-effect transistor (UMOS) structure; and a trench junction barrier Schottky (TJBS) diode, wherein an insulating layer of a sidewall of the TJBS diode does not have a side gate,

Abstract: A portable electronic device and a customized image-capturing module thereof are provided. The customized image-capturing module includes a carrier substrate, an image-capturing chip, and a lens assembly. The carrier substrate includes a carrier body, a plurality of first conductive pads, and a plurality of second conductive pads. The image-capturing chip is disposed inside a concave space of the carrier body, and the image-capturing chip includes a plurality of conductive chip pads. The second conductive pads are exposed from a bottom side of the carrier body, the conductive chip pads are electrically connected to the second conductive pads through the first conductive pads, respectively, so that when the customized image-capturing module is partially disposed inside a receiving space and positioned between two electronic elements, the second conductive pads can be electrically connected to conductive substrate pads of a circuit substrate through soldering materials, respectively.

Abstract: A display apparatus includes a display panel and a switching panel disposed outside the display panel. The switching panel includes a first base, first and second electrodes disposed on the first base, a second base, third and fourth electrodes disposed on the second base, and a liquid crystal layer disposed between the first base and the second base. When the display apparatus is operated in a first anti-peep mode, the first electrode and the second electrode disposed on the first base have a first AC driving signal and a second AC driving signal respectively, and the third electrode and the fourth electrode disposed on the second base have DC reference signals respectively, wherein the first AC driving signal and the second AC driving signal are in synchronization.

Abstract: A probe for monitoring new bone formation and osseointegration containing an integrin ?5?1 ligand conjugated to a near-infrared fluorescent dye in which the integrin ?5?1 ligand is a cyclic peptide lacking an RGD sequence. Also disclosed is a bone repair and osteogenesis-monitoring probe formed of a bisphosphonate conjugated to a gold nanoparticle, the probe having a size of 1 nm to 10 nm. Further disclosed are two methods for monitoring bone formation, each of which is carried out by administering the above probes and obtaining a near-infrared fluorescence image.

Abstract: A fin structure is on a substrate. The fin structure includes an epitaxial region having an upper surface and an under-surface. A contact structure on the epitaxial region includes an upper contact portion and a lower contact portion. The upper contact portion includes a metal layer over the upper surface and a barrier layer over the metal layer. The lower contact portion includes a metal-insulator-semiconductor (MIS) contact along the under-surface. The MIS contact includes a dielectric layer on the under-surface and the barrier layer on the dielectric layer.

Abstract: The present application provides a semiconductor device and the method of making the same. The method includes recessing a fin extending from a substrate, forming a base epitaxial feature on the recessed fin, forming a bar-like epitaxial feature on the base epitaxial feature, and forming a conformal epitaxial feature on the bar-like epitaxial feature. The forming of the bar-like epitaxial feature includes in-situ doping the bar-like epitaxial feature with an n-type dopant at a first doping concentration. The forming of the conformal epitaxial feature includes in-situ doping the conformal epitaxial feature with a second doping concentration greater than the first doping concentration.

Abstract: A pneumatic-hydraulic control valve includes a valve base and a valve stem movably disposed in the valve base. A first inner oil guiding hole of the valve stem communicates with a first outer oil guiding hole of the valve base. A second inner oil guiding hole of the valve stem does not communicate with a second outer oil guiding hole of the valve base when the valve stem is closed, and communicates with the second outer oil guiding hole of the valve base when the valve stem is opened. Further, the valve stem has a first stressed portion for bearing a fluid closing force and a second stressed portion for bearing a fluid opening force. The outer diameter of the first stressed portion is larger than that of the second stressed portion. Thus, the present invention reduces a valve opening force without affecting the sealing effect.

Abstract: A structured light emitting module which gives an adjustable and resettable patterned structure to the laser light emitted comprises a laser source, a structured light lens, an optical diffraction element, and a driver. The optical diffraction element is located above the laser source, and the lens and the optical diffraction element cooperate to convert the laser into a speckled or other pattern. The lens is disposed in the driver, the driver can move the lens microscopically to change an illumination range or the structure of the patterned laser light which is output.

Abstract: A cradle for an information handling system includes a base and a stand. The stand extends perpendicular to the base. The stand includes a rotatable insert portion and a cover. The rotatable insert portion receives the information handling system. The cover snap fits over the information handling system when the information handling system is within the cradle, and when the cover rotates between an open position and a closed position.

Abstract: A method forming an image sensor includes: providing a substrate including a plurality of sensing portions; forming a color filter layer on the substrate; forming a micro-lens material layer on the color filter layer; and forming a hard mask pattern on the micro-lens material layer, wherein the hard mask pattern has a first gap and a second gap larger than the first gap. The method includes reflowing the hard mask pattern into a plurality of dome shapes; transferring the plurality of dome shapes into the micro-lens material layer to form a plurality of micro-lenses; and forming a top film conformally on the plurality of micro-lenses.

Abstract: A method of semiconductor fabrication includes providing a semiconductor structure having a substrate and first, second, third, and fourth fins above the substrate. The method further includes forming an n-type epitaxial source/drain (S/D) feature on the first and second fins, forming a p-type epitaxial S/D feature on the third and fourth fins, and performing a selective etch process on the semiconductor structure to remove upper portions of the n-type epitaxial S/D feature and the p-type epitaxial S/D feature such that more is removed from the n-type epitaxial S/D feature than the p-type epitaxial S/D feature.

Abstract: The disclosure provides a self-powered sheet which is configured to absorb a liquid content and to be applied on a human skin. The self-powered sheet includes a base layer and a plurality of electrically conductive inks. The base layer is configured to absorb the liquid content and adapted to be applied on the human skin. The base layer has a contact surface. The electrically conductive inks are disposed on the contact surface of the base layer. Each of the electrically conductive inks has a plurality of first electrodes and a plurality of second electrodes. When each of the first electrodes and each of the second electrodes are soaked in the liquid content, an electrical potential difference between one of the plurality of first electrodes and one of the plurality of second electrodes generates a current in the human skin.

Abstract: Systems and methods train an encoder neural network for fast and accurate projection into the latent space of a Generative Adversarial Network (GAN). The encoder is trained by providing an input training image to the encoder and producing, by the encoder, a latent space representation of the input training image. The latent space representation is provided as input to the GAN to generate a generated training image. A latent code is sampled from a latent space associated with the GAN and the sampled latent code is provided as input to the GAN. The GAN generates a synthetic training image based on the sampled latent code. The sampled latent code is provided as input to the encoder to produce a synthetic training code. The encoder is updated by minimizing a loss between the generated training image and the input training image, and the synthetic training code and the sampled latent code.

Abstract: An improved system architecture uses a Generative Adversarial Network (GAN) including a specialized generator neural network to generate multiple resolution output images. The system produces a latent space representation of an input image. The system generates a first output image at a first resolution by providing the latent space representation of the input image as input to a generator neural network comprising an input layer, an output layer, and a plurality of intermediate layers and taking the first output image from an intermediate layer, of the plurality of intermediate layers of the generator neural network. The system generates a second output image at a second resolution different from the first resolution by providing the latent space representation of the input image as input to the generator neural network and taking the second output image from the output layer of the generator neural network.

Abstract: Systems and methods dynamically adjust an available range for editing an attribute in an image. An image editing system computes a metric for an attribute in an input image as a function of a latent space representation of the input image and a filtering vector for editing the input image. The image editing system compares the metric to a threshold. If the metric exceeds the threshold, then the image editing system selects a first range for editing the attribute in the input image. If the metric does not exceed the threshold, a second range is selected. The image editing system causes display of a user interface for editing the input image comprising an interface element for editing the attribute within the selected range.

Abstract: An improved system architecture uses a pipeline including a Generative Adversarial Network (GAN) including a generator neural network and a discriminator neural network to generate an image. An input image in a first domain and information about a target domain are obtained. The domains correspond to image styles. An initial latent space representation of the input image is produced by encoding the input image. An initial output image is generated by processing the initial latent space representation with the generator neural network. Using the discriminator neural network, a score is computed indicating whether the initial output image is in the target domain. A loss is computed based on the computed score. The loss is minimized to compute an updated latent space representation. The updated latent space representation is processed with the generator neural network to generate an output image in the target domain.

Abstract: An improved system architecture uses a pipeline including an encoder and a Generative Adversarial Network (GAN) including a generator neural network to generate edited images with improved speed, realism, and identity preservation. The encoder produces an initial latent space representation of an input image by encoding the input image. The generator neural network generates an initial output image by processing the initial latent space representation of the input image. The system generates an optimized latent space representation of the input image using a loss minimization technique that minimizes a loss between the input image and the initial output image. The loss is based on target perceptual features extracted from the input image and initial perceptual features extracted from the initial output image. The system outputs the optimized latent space representation of the input image for downstream use.

Abstract: Systems and methods generate a filtering function for editing an image with reduced attribute correlation. An image editing system groups training data into bins according to a distribution of a target attribute. For each bin, the system samples a subset of the training data based on a pre-determined target distribution of a set of additional attributes in the training data. The system identifies a direction in the sampled training data corresponding to the distribution of the target attribute to generate a filtering vector for modifying the target attribute in an input image, obtains a latent space representation of an input image, applies the filtering vector to the latent space representation of the input image to generate a filtered latent space representation of the input image, and provides the filtered latent space representation as input to a neural network to generate an output image with a modification to the target attribute.

Abstract: Systems and methods train and apply a specialized encoder neural network for fast and accurate projection into the latent space of a Generative Adversarial Network (GAN). The specialized encoder neural network includes an input layer, a feature extraction layer, and a bottleneck layer positioned after the feature extraction layer. The projection process includes providing an input image to the encoder and producing, by the encoder, a latent space representation of the input image. Producing the latent space representation includes extracting a feature vector from the feature extraction layer, providing the feature vector to the bottleneck layer as input, and producing the latent space representation as output. The latent space representation produced by the encoder is provided as input to the GAN, which generates an output image based upon the latent space representation. The encoder is trained using specialized loss functions including a segmentation loss and a mean latent loss.