Abstract: A data processing system may include: a controller configured to receive a neural network processing request from a host device; a processing memory including: one or more sub arrays each including memory cells coupled between row lines and column lines; multiplexers (MUXs) provided for respective column line groups, which are configured by grouping the column lines by a preset number; and analog-to-digital converters (ADCs) coupled to the respective MUXs; and a deserializer. The deserializer is configured to receive, from the controller, data to be stored in a selected sub array and a first column address at which the data is to be stored, and remap the first column address to a second column address such that the data is distributed and stored in the memory cells coupled to the column line groups, in order to store the data in the sub array.

Abstract: A ceramic electronic component includes: a body including dielectric layers and internal electrodes; and external electrodes disposed on the body and connected to the internal electrodes, wherein the dielectric layer includes a plurality of first secondary phases, the first secondary phase is a secondary phase including Ni, Mg, Al, Si, and O, and at least one of the plurality of first secondary phases has a ratio of a major axis length to a minor axis length of 4 or more.

Abstract: A stretchable device includes a substrate, the substrate including first regions having a first stiffness and a second region between adjacent first regions and having a second stiffness that is lower than the first stiffness, a unit device array including unit devices on separate, respective first regions of the substrate, and an encapsulant covering the unit device array. The unit device array includes pixel electrodes isolated on separate, respective first regions of the substrate, common electrodes isolated on separate, respective first regions and each facing a separate pixel electrode, the stretchable device configured to apply a same voltage to the plurality of common electrodes, and active layers on separate, respective first regions and each between a separate pixel electrode and a separate common electrode.

Abstract: A storage device is provided. The storage device includes a controller which receives a command from a host for instructing performance of a first computation, a non-volatile memory which stores a plurality of datasets, a buffer memory to which a first dataset among the plurality of datasets stored in the non-volatile memory is provided in response to the command, and an accelerator which performs the first computation corresponding to the command, using the first dataset provided to the buffer memory. The accelerator includes a memory access module which receives a first input query for instructing the first computation and the first dataset from the buffer memory, and a first computing module which is connected to the memory access module and determines first final candidate data corresponding to the first input query, using the first dataset.

Abstract: Disclosed herein are a cooperative driving method based on driving negotiation and an apparatus for the same. The cooperative driving method is performed by a cooperative driving apparatus for cooperative driving based on driving negotiation, and includes determining whether cooperative driving is possible in consideration of a driving mission of a requesting vehicle that requests cooperative driving with neighboring vehicles, when it is determined that cooperative driving is possible, setting a responding vehicle from which cooperative driving is to be requested among the neighboring vehicles, performing driving negotiation between the requesting vehicle and the responding vehicle based on a driving negotiation protocol, and when the driving negotiation is completed, performing cooperative driving by providing driving guidance information for vehicle control to at least one of the requesting vehicle and the responding vehicle.

Abstract: A stretchable device includes a substrate, the substrate including first regions having a first stiffness and a second region between adjacent first regions and having a second stiffness that is lower than the first stiffness, a unit device array including unit devices on separate, respective first regions of the substrate, and an encapsulant covering the unit device array. The unit device array includes pixel electrodes isolated on separate, respective first regions of the substrate, common electrodes isolated on separate, respective first regions and each facing a separate pixel electrode, the stretchable device configured to apply a same voltage to the plurality of common electrodes, and active layers on separate, respective first regions and each between a separate pixel electrode and a separate common electrode.

Abstract: Disclosed herein are a deep network learning method using an autonomous vehicle and an apparatus for the same. The deep network learning apparatus includes a processor configured to select a deep network model requiring an update in consideration of performance, assign learning amounts for respective vehicles in consideration of respective operation patterns of multiple autonomous vehicles registered through user authentication, distribute the deep network model and the learning data to the multiple autonomous vehicles based on the learning amounts for respective vehicles, and receive learning results from the multiple autonomous vehicles, and memory configured to store the deep network model and the learning data.

Abstract: A stretchable device includes a substrate, the substrate including first regions having a first stiffness and a second region between adjacent first regions and having a second stiffness that is lower than the first stiffness, a unit device array including unit devices on separate, respective first regions of the substrate, and an encapsulant covering the unit device array. The unit device array includes pixel electrodes isolated on separate, respective first regions of the substrate, common electrodes isolated on separate, respective first regions and each facing a separate pixel electrode, the stretchable device configured to apply a same voltage to the plurality of common electrodes, and active layers on separate, respective first regions and each between a separate pixel electrode and a separate common electrode.

Abstract: The present disclosure relates to a vehicle and a parking control method therefor which can prevent a parking curb or a driving system from being damaged during parking due to collision with the parking curb or running over the parking curb according to creep torque imitation by an electric motor in a vehicle equipped with the electric motor. A parking control method includes determining whether a parking situation occurs, applying a creep torque modification coefficient to a creep torque until contact with an object that applies a reaction force to a wheel in a parking direction is sensed to determine a modified creep torque upon determining the parking situation, and variably controlling the creep torque by applying a variable coefficient to the modified creep torque.

Abstract: Provided are a method and a device for decoding a video signal to provide stereographic image content with high resolution. The method may include determining motion information of a current block and obtaining a prediction sample of the current block based on a weighted sum operation of a first predicted sample and a second predicted sample of the current block. The method may further include deriving the first predicted sample by using the motion information of the current block and deriving the second predicted sample by using at least one reference sample of the current block, wherein a set of weights applied to the first predicted sample and the second predicted sample is determined based on whether a prediction mode of a neighboring block adjacent to the current block is inter prediction or intra prediction.

Abstract: A method for processing a vide signal, according to the present invention comprises generating a reference picture list based on a current picture reference flag for a current picture, obtaining motion information about a current block in the current picture, and restoring the current block using the motion information of the current block and the reference picture list relating to the current picture.

Abstract: A reinforcement learning device includes a computation circuit configured to perform an operation between a weight matrix and an input activation vector and to apply an activation function on an output of the operation to generate an output activation vector. The computation circuit quantizes the input activation vector when a quantization delay time has elapsed since beginning of a learning operation and does not quantize the input activation vector otherwise.

Abstract: A memory device includes a memory cell array and a peripheral circuit. The memory cell array includes a plurality of memory regions each identified by a row address and a column address. The peripheral circuit accesses the memory cell array by performing, based on an address, a burst length and a burst address gap provided from a memory controller, a burst operation supporting a variable burst address gap. The burst address gap is a numerical difference between adjacent column addresses, on which the burst operation is to be performed.

Abstract: A data processing system includes a host and an accelerator. The host transmits, to the accelerator, input data together with data identification information based on a data classification criterion. The accelerator classifies the input data as any one of feature data, a parameter, and a bias based on the data identification information when the input data is received from the host, distributes the input data, performs pre-processing on the feature data, and outputs computed result data to the host or feeds the result data back so that computation processing is performed on the result data again.

Abstract: Disclosed herein are an object recognition apparatus of an automated driving system using error removal based on object classification and a method using the same. The object recognition method is configured to train a multi-object classification model based on deep learning using training data including a data set corresponding to a noise class, into which a false-positive object is classified, among classes classified by the types of objects, to acquire a point cloud and image data respectively using a LiDAR sensor and a camera provided in an autonomous vehicle, to extract a crop image, corresponding to at least one object recognized based on the point cloud, from the image data and input the same to the multi-object classification model, and to remove a false-positive object classified into the noise class, among the at least one object, by the multi-object classification model.

Abstract: Disclosed are a catalyst for an electrochemical cell and a method of manufacturing the catalyst. The catalyst includes a support, a first catalyst supported on the support, wherein the first catalyst is a catalyst for hydrogen oxidation reaction (HOR) or oxygen reduction reaction (ORR), a second catalyst supported on the first catalyst, wherein the second catalyst is a catalyst for oxygen evolution reaction (OER), and a protective layer formed on the first catalyst and the second catalyst.

Abstract: Provided are a method and a device for decoding a video signal to provide stereographic image content with high resolution. The method may include: determining whether a coding block is partitioned into 4 child coding blocks or not; in response to the coding block not partitioned into 4 child coding blocks, determining whether the coding block is partitioned into 2 child coding block or not; in response to the coding block partitioned into the 2 child coding block, partitioning the coding block into 2 child coding block in either a horizontal direction or a vertical direction; determining motion information of the current block in response to the prediction mode of the current block being an inter mode; obtaining a prediction sample of the current block; obtaining a residual sample of the current block; and obtaining a reconstruction sample of the current block based on the prediction sample and the residual sample.

Abstract: A body-insertable device having an adjustable radiation emission direction and radiation emission range, which includes a first outer body extending to be long and an accommodation space having a first accommodation space and a second accommodation space having different distances to the first outer body.

Abstract: Provided are a method and a device for decoding a video signal to provide stereographic image content with high resolution. For decoding a video signal, an intra prediction mode of a current block is determined, and a prediction sample is obtained by performing intra prediction of the current block based on the intra prediction mode.

Abstract: The present invention relates to a composition for preventing and treating cancer-related fatigue, characterized by containing a new processed ginseng powder or a new processed ginseng extract having an increased amount of a ginsenoside constituent, which was previously minute, by preparing a saponin-decomposing enzyme and subsequently using hydrolysis by the prepared saponin-decomposing enzyme and an organic acid. The composition according to the present invention can be very effectively used for preventing and treating cancer-related fatigue, the most destructive and universal side effect, which is caused by cancer itself or occurs in association with the treatment of cancer.