Abstract: The present application provides a display panel and a display device. The display panel is not disposed with touch patterns between optical sensors and at least one of adjacent third sub-pixel units, so that when the third sub-pixel units emit light, the light reflected from the touch electrodes to the optical sensors is reduced, the interference of the light from the pixel units reflected from the touch electrodes to the optical sensors is reduced, and the signal-to-noise ratio of the optical sensors is improved.

Abstract: A memory device includes a multi-layer stack, a channel layer, a memory material layer and a memory material layer. The multi-layer stack includes a plurality of conductive layers and a plurality of dielectric layers stacked alternately along a first direction. The memory material layer is disposed between the channel layer and each of the conductive layers and the dielectric layers. The conductive pillars extend in the first direction, wherein the at least three conductive pillars are aligned along a second direction substantially perpendicular to the first direction.

Abstract: The present disclosure provides a semiconductor structure. The semiconductor structure includes a substrate and a stacked structure disposed on the substrate. The stacked structure includes multiple alternately stacked insulating layers and gate members. A core structure is disposed in the stacked structure. The core structure includes a memory layer, a channel member, a contact member, and a liner member. The channel member is disposed on the memory layer. The contact member is disposed on the channel member. The liner member surrounds a portion of the core structure. The present disclosure also provides a method for fabricating the semiconductor structure.

Abstract: A method, computer program, and computer system is provided for compressing a neural network model. A multi-dimensional tensor corresponding to a set of weight coefficients associated with a neural network is reshaped. A subset of weight coefficients is identified from among the set of weight coefficients. A model of the neural network is compressed based on the identified subset of weight coefficients.

Abstract: The present disclosure discloses a feedback information transmission method and apparatus. The feedback information transmission method is applied to a receive terminal and includes: obtaining information about a feedback channel format, and generating a feedback channel according to the information about the feedback channel format, where the feedback channel format employs a sequence form; and sending feedback information to a transmit terminal through the feedback channel.

Abstract: Neural image compression using substitutional quality factor learning in a latent space, including receiving a compressed bitstream and a target quality factor indicating a target compression quality, calculating a decoded latent representation of the compressed bitstream, and calculating a reconstructed image based on the decoded latent representation of the compressed bitstream and the target quality factor, computing a shared feature based on a network forward computation using shared decoding parameters (SDP) of one or more layers of a convolutional neural network, computing estimated adaptive decoding parameters (ADP) for the one or more layers of the convolutional neural network based on the shared feature, the adaptive decoding parameters, and the target quality factor, and computing an output tensor based on the estimated ADP in the one or more layers of the convolutional neural network and the shared feature.

Abstract: The present disclosure provides a semiconductor device and a semiconductor layout structure. In the semiconductor device, a guard ring of a first type is arranged on at least one side of a transistor of a second type, and a guard ring of a second type is arranged on at least one side of a transistor of a first type, such that a plurality of signal lines in a first metal layer in the semiconductor layout structure may be arranged between a first power source line and a first ground line. Furthermore, in a second metal layer, a plurality of second power source lines are connected to one first power source line, and a plurality of second ground lines are connected to one first ground line.

Abstract: A method of forming a ferroelectric random access memory (FeRAM) device includes: forming a layer stack over a substrate, where the layer stack includes alternating layers of a first dielectric material and a word line (WL) material; forming first trenches extending vertically through the layer stack; filling the first trenches, where filling the first trenches includes forming, in the first trenches, a ferroelectric material, a channel material over the ferroelectric material, and a second dielectric material over the channel material; after filling the first trenches, forming second trenches extending vertically through the layer stack, the second trenches being interleaved with the first trenches; and filling the second trenches, where filling the second trenches includes forming, in the second trenches, the ferroelectric material, the channel material over the ferroelectric material, and the second dielectric material over the channel material.

Abstract: A CoCuxOy catalyst, the molar ratio of Co, Cu and O thereof being 1:(0.2-1):(3-4). A preparation method of the catalyst comprises: dropwise adding a solution of an oxidizing agent and an initiator into a mixed aqueous solution of copper nitrate and cobalt nitrate, filtering the mixed solution after ageing to obtain a black cake-like precipitate, and calcining the precipitate at 180° C. to obtain the CoCuxOy catalyst. The present invention also provides a method for preparing 2,5-furandicarboxylic acid from the CoCuxOy catalyst prepared by said method. The preparation method of the CoCuxOy catalyst in the present invention has simple and convenient operations and mild conditions; the prepared catalyst has high catalytic efficiency; and using the catalyst for preparing 2,5-furandicarboxylic acid is characterized by high efficiency, easy separation, low costs, less pollution and the like.

Abstract: A semiconductor device and a manufacturing method thereof are provided. The semiconductor device includes a gate, a semiconductor channel layer, a gate dielectric layer, a source terminal and a drain terminal. The semiconductor channel layer is disposed over and above the gate. The gate dielectric layer is disposed between the gate and the semiconductor channel layer. The source terminal and the drain terminal are disposed on the semiconductor channel layer. A contact plug is disposed on at least one of the source terminal and the drain terminal. A dielectric pattern surrounds the contact plug and covers the source terminal and the drain terminal. A gas barrier layer is disposed on the dielectric pattern and surrounding the contact plug.

Abstract: Implementations of the present specification provide a method of generating a regular expression for a parameter of an application system and a method and an apparatus of checking validity of a parameter of an application system. To generate a regular expression for a parameter of the application system, parameter values of each parameter in each method code block are obtained from a historical implementation of the application system. Common information is extracted from the corresponding parameter values for each parameter in each method code block. Then a corresponding regular expression is generated for each parameter in each method code block based on the extracted common information.

Abstract: Neural network based substitutional end-to-end (E2E) image compression (NIC) being performed by at least one processor and includes receiving an input image to an E2E NIC framework, determining a step size of the input image indicating a learning rate of a training model, determining a substitute image based on the training model, encoding the substitute image in lieu of the input image to generate a bitstream, and mapping the substitute image to the bitstream to generate a compressed representation. Further, step size may be determined by a scheduler and change throughout the training of the training model. The image may also be split into patches for which a scheduler is assigned for each patch and each patch is encoded instead of the entire input image.

Abstract: A pruning method of neural network based video coding of a current block of a picture of a video sequence is performed by at least one processor and includes categorizing parameters of a neural network into groups, setting a first index to indicate that a first group of the groups is to be pruned, and a second index to indicate that a second group of the groups is not to be pruned, and transmitting, to a decoder, the set first index and the set second index. Based on the transmitted first index and the transmitted second index, the current block is processed using the parameters of which the first group of the groups is pruned.

Abstract: A method of unification based coding for neural network model compression is performed by at least one processor and includes receiving a layer uniform flag indicating whether a quantized weight of an input neural network is encoded using a uniform coding method, and determining whether the quantized weight is encoded using the uniform coding method, based on the received layer uniform flag. The method further includes, based on the quantized weight being determined to be encoded using the uniform coding method, encoding the quantized weight, using the uniform coding method, and based on the quantized weight being determined to not be encoded using the uniform coding method, encoding the quantized weight, using a non-uniform coding method.

Abstract: Systems and methods for encoding and decoding neural network data is provided. A method includes: obtaining an independent neural network with a topology; encoding the independent neural network with the topology such as to obtain a neural network representation (NNR) bitstream; and sending the NNR bitstream to a decoder, wherein the NNR bitstream includes a group of NNR units (GON) that represents the independent neural network with the topology, and the GON includes an NNR model parameter set unit, an NNR layer parameter set unit, an NNR topology unit, an NNR quantization unit, and an NNR compressed data unit.

Abstract: A transistor includes an insulating layer, a source region, a drain region, a channel layer, a ferroelectric layer, and a gate electrode. The source region and the drain region are respectively disposed on and in physical contact with two opposite sidewalls of the insulating layer. A thickness of the source region, a thickness of the drain region, and a thickness of the insulating layer are substantially the same. The channel layer is disposed on the insulating layer, the source region, and the drain region. The ferroelectric layer is disposed over the channel layer. The gate electrode is disposed on the ferroelectric layer.

Abstract: An information handling system detects whether a text element in a graphical user interface is truncated by comparing the text element with an expected text element using a pattern-matching algorithm. The system also detects whether a non-text element in the graphical user interface is truncated by comparing the non-text element to a reconstructed copy of the non-text element.

Abstract: A transistor including a channel layer including an oxide semiconductor material and methods of making the same. The transistor includes a channel layer having a first oxide semiconductor layer having a first oxygen concentration, a second oxide semiconductor layer having a second oxygen concentration and a third oxide semiconductor layer having a third oxygen concentration. The second oxide semiconductor layer is located between the first semiconductor oxide layer and the third oxide semiconductor layer. The second oxygen concentration is lower than the first oxygen concentration and the third oxygen concentration.

Abstract: This application provides an uplink signal transmission method, a terminal, and a network side device. The uplink signal transmission method includes: the terminal receives first information delivered by the network side device, and the terminal sends the second information to the network side device based on the first information. The first information indicates information related to sending of second information, and the second information indicates related information for assisting the network side device to save energy.

Abstract: In a method for displaying relationship-based relationship indicators in a gaming interface, a team interface including a plurality of player positions is displayed. Player avatars at the plurality of player positions are displayed. Each player avatar corresponds to a respective team member of a plurality of team members. When a relationship is detected between at least two team members of the plurality of team members, relationship indicators at the plurality of player positions corresponding to the at least two team members are displayed. The relationship indicators indicate the relationship detected between the at least two team members. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.