Abstract: A memory device for improving the speed of a program operation and an operating method thereof is provided. The memory device includes a memory cell array including a plurality of memory cells, a voltage generator configured to generate voltages for one or more program operations and a verify operation performed on the plurality of memory cells, a control logic configured to perform a control operation on the plurality of memory cells so that a first program and a second program loop are performed, a second program operation being performed based on a compensation voltage level determined based on a result of the first verify operation, and a plurality of bit lines connected to the memory cell array, wherein the first verify operation includes first even sensing and second even sensing on even-numbered bit lines, and first odd sensing and second odd sensing on odd-numbered bit lines.

Abstract: In a method of reducing reliability degradation of a nonvolatile memory device, the nonvolatile memory device in which initial data having an initial threshold voltage distribution is stored in a plurality of memory cells connected to a plurality of wordlines is provided. Before a first process causing reliability degradation is performed, a first write operation is performed such that first data having a first threshold voltage distribution is stored into memory cells connected to first wordlines. The first wordlines have a degree of reliability degradation less than a reference value. Before the first process is performed, a second write operation is performed such that second data having a second threshold voltage distribution is stored into memory cells connected to second wordlines. The second wordlines have a degree of reliability degradation greater than or equal to the reference value.

Abstract: Disclosed are a nonvolatile memory device and a read method of the nonvolatile memory device. The nonvolatile memory device includes a memory cell array, a row decoder circuit, and a page buffer circuit including first latches and second latches. The page buffer circuit respectively latches first sensing values, which are based on data stored in adjacent memory cells, at the first latches and respectively latches second sensing values, which are based on data stored in selected memory cells, at the second latches at least two times.

Abstract: An artificial intelligence (AI) processor includes at least one memory; a plurality of neural network operators comprising circuitry configured to process an image; and a controller configured to control the at least one memory and the plurality of neural network operators. The controller controls input image data of an image to be stored in the at least one memory and controls at least one of the plurality of neural network operators to perform a neural network operation on image data split based on a size of the image and data processing capabilities of the plurality of neural network operators, and output upscaled image data.

Abstract: An electronic apparatus is provided. The electronic apparatus includes: a memory storing information on an artificial intelligence model including a plurality of layers, and a processor configured to acquire an output image based on processing an input image using the artificial intelligence model. The processor is configured to: identify whether a parameter used in any one layer among the plurality of layers is a fixed parameter or a variable parameter, and provide the parameter to a first operation module or a second operation module included in of the artificial intelligence model of the artificial intelligence model any one layer based on the identification and perform an operation between output data of a previous layer and the parameter.

Abstract: An electronic apparatus includes a memory configured to store a plurality of images; and a processor configured to identify qualities of the plurality of images, process the plurality of images using at least one artificial intelligence model corresponding to the identified qualities, and obtain a graphic image including the processed plurality of images, and the at least one artificial intelligence model is trained to increase a quality of an input image.

Abstract: A method of operating a memory controller, the method including performing a state shaping operation on received data based on state shaping information in response to a write request, the received data and the write request being received from a host, the state shaping information representing a memory cell characteristic corresponding to a memory cell group on which the received data is to be programmed, and the state shaping information being received from a memory device, and transmitting transformation data to the memory device, the transformation data being generated through the state shaping operation.

Abstract: A clothes treatment apparatus includes a cooling water pipe that is placed within a condensing duct to condense humidity contained in a circulating air current. The latent heat generated from the condensation of humidity causes the temperature of the cooling water in the cooling water pipe to rise. A thermoelectric pump mechanism collects heat from the higher-temperature cooling water and uses it in heating the circulating air.

Abstract: Disclosed are a display apparatus and a method of controlling the same, the display apparatus including: a video decoder configured to decode a video signal; and an artificial intelligence (AI) scaler including a plurality of filters provided to make an output of a certain filter be used as an input of another filter, and configured to control a resolution of an image by processing the decoded video signal, each of the plurality of filters being selectively turned on or off based on a control signal, the filter being turned on processing the video signal based on a parameter set by learning, and the filter being turned off bypassing and outputting the input video signal.

Abstract: An electronic apparatus includes a memory configured to store a plurality of images; and a processor configured to identify qualities of the plurality of images, process the plurality of images using at least one artificial intelligence model corresponding to the identified qualities, and obtain a graphic image including the processed plurality of images, and the at least one artificial intelligence model is trained to increase a quality of an input image.

Abstract: Disclosed are a display apparatus, an image providing apparatus, and methods of controlling the same, the display apparatus including: a display; and a processor configured to: decode an encoded video stream, decompress the video stream through a neural network including a plurality of channels and a plurality of layers with a parameter set based on learning, and perform image compensation determined based on learning about the decompression with respect to the video stream.

Abstract: A display device includes a substrate including a display area and a peripheral area outside the display area, a thin-film transistor arranged in the display area, a display element arranged in the display area, an interlayer insulating layer covering the thin-film transistor, a conductive layer arranged above the interlayer insulating layer, a first insulating layer covering the conductive layer, a pad arranged in the peripheral area, and a second conductive layer covering a central portion of the pad. The pad is connected to a connection line through a contact hole, and the connection line is arranged on a same first layer as a gate electrode of the thin-film transistor. A side surface of the pad is covered by the first insulating layer or the second conductive layer.

Abstract: Disclosed are a display apparatus and a method of controlling the same, the display apparatus including: a video decoder configured to decode a video signal; and an artificial intelligence (AI) scaler including a plurality of filters provided to make an output of a certain filter be used as an input of another filter, and configured to control a resolution of an image by processing the decoded video signal, each of the plurality of filters being selectively turned on or off based on a control signal, the filter being turned on processing the video signal based on a parameter set by learning, and the filter being turned off bypassing and outputting the input video signal.

Abstract: Disclosed are a nonvolatile memory device and a read method of the nonvolatile memory device. The nonvolatile memory device includes a memory cell array, a row decoder circuit, and a page buffer circuit including first latches and second latches. The page buffer circuit respectively latches first sensing values, which are based on data stored in adjacent memory cells, at the first latches and respectively latches second sensing values, which are based on data stored in selected memory cells, at the second latches at least two times.

Abstract: A clothes treatment apparatus includes a cooling water pipe that is placed within a condensing duct to condense humidity contained in a circulating air current. The latent heat generated from the condensation of humidity causes the temperature of the cooling water in the cooling water pipe to rise. A thermoelectric pump mechanism collects heat from the higher-temperature cooling water and uses it in heating the circulating air.

Abstract: An electronic apparatus includes a memory configured to store a plurality of images; and a processor configured to identify qualities of the plurality of images, process the plurality of images using at least one artificial intelligence model corresponding to the identified qualities, and obtain a graphic image including the processed plurality of images, and the at least one artificial intelligence model is trained to increase a quality of an input image.

Abstract: An electronic apparatus includes a memory configured to store a plurality of images; and a processor configured to identify qualities of the plurality of images, process the plurality of images using at least one artificial intelligence model corresponding to the identified qualities, and obtain a graphic image including the processed plurality of images, and the at least one artificial intelligence model is trained to increase a quality of an input image.

Abstract: An electronic apparatus includes a memory configured to store a plurality of images; and a processor configured to identify qualities of the plurality of images, process the plurality of images using at least one artificial intelligence model corresponding to the identified qualities, and obtain a graphic image including the processed plurality of images, and the at least one artificial intelligence model is trained to increase a quality of an input image.

Abstract: An electronic apparatus is provided. The electronic apparatus includes: a memory storing information on an artificial intelligence model including a plurality of layers, and a processor configured to acquire an output image based on processing an input image using the artificial intelligence model. The processor is configured to: identify whether a parameter used in any one layer among the plurality of layers is a fixed parameter or a variable parameter, and provide the parameter to a first operation module or a second operation module included in of the artificial intelligence model of the artificial intelligence model any one layer based on the identification and perform an operation between output data of a previous layer and the parameter.

Abstract: The present disclosure relates to a laundry treatment machine. The laundry treatment machine according to an embodiment of the present invention includes a casing; a door attached to the casing; a washing tub disposed inside the casing; a heating unit; a blower for supplying to the washing tub; a temperature detector for detecting a temperature of the washing tub; a motor for rotating the washing tub; a driving unit for driving the motor; and a controller to control the blower to operate in a first drying mode, and to control the heating unit to intermittently output a first power during a first period after the operation of the blower while controlling an operating time of the heating unit to increase during the first period. Accordingly, the power consumption can be reduced while reducing the drying period in the drying mode.