Abstract: Disclosed are a piezoelectric material-based electronic device having high recognition precision for a three-dimensional shape and improved durability, and a manufacturing method thereof. The electronic device includes an anodic oxide film, a first electrode provided on an upper surface of the anodic oxide film, a second electrode provided on an a lower surface of the anodic oxide film, and a piezoelectric column made of a piezoelectric material and provided between the first electrode and the second electrode.

Abstract: A non-volatile synapse circuit of a non-volatile neural network. The synapse includes: an input signal line; a reference signal line; first and second output lines, and first and second cells for generating the first and second output signals, respectively. Each of the first and second cells includes: an upper select transistor having a gate that is electrically coupled to the input signal line; and a resistive changing element having one end connected to the upper select transistor in series and another end electrically coupled to the reference signal line. The value of the resistive changing element is programmable to change the magnitude of an output signal. The drain of the upper select transistor of the first cell is electrically coupled to the first output line and the drain of the upper select transistor of the second cell is electrically coupled to the second output line.

Abstract: A processor-implemented neural network method includes: determining, using a neural network, a feature vector based on a training image of a first class among a plurality of classes; determining, using the neural network, plural feature angles between the feature vector and class vectors of other classes among the plurality of classes; determining a margin based on a class angle between a first class vector of the first class and a second class vector of a second class, among the class vectors, and a feature angle between the feature vector and the first class vector; determining a loss value using a loss function including an angle with the margin applied to the feature angle and the plural feature angles; and training the neural network by updating, based on the loss value, either one or both of one or more parameters of the neural network and one or more of the class vectors.

Abstract: The present invention relates to a micro LED structure and a method of manufacturing the same that facilitate realizing of pixels of the micro LED structure.

Abstract: An electronic device may include a semiconductor memory structured to include a plurality of memory cells, wherein each of the plurality of memory cells may comprise: a first electrode layer; a second electrode layer; and a selection element layer disposed between the first electrode layer and the second electrode layer to electrically couple or decouple an electrical connection between the first electrode layer and the second electrode layer based on a magnitude of an applied voltage or an applied current with respect to a threshold magnitude, wherein the selection element layer has a dopant concentration profile which decreases from an interface between the selection element layer and the first electrode layer toward an interface between the selection element layer and the second electrode layer.

Abstract: An iron includes: a housing; a handle attached to an upper portion of the housing; a sole plate attached to a lower portion of the housing; a heating element positioned within the housing to heat the sole plate; a controller operatively connected with the heating element to regulate heat produced by the heating element; and a display mounted on one of the housing and the handle, the display operatively connected with the controller, the display configured such that manipulation of the display selects a heat level associated with the sole plate.

Abstract: A display device for a vehicle includes a main body, a guide, and a flexible display. The flexible display is configured to be inserted between a pair of guide plates of the guide. The pair of guide plates are transparent, and an area of the flexible display positioned between the pair of guide plates is configured to vary. The display device allows a front area of the vehicle to be viewed through the transparent guide plates, and allows a rear area of the vehicle to be disposed on the flexible display. The flexible display is configured to be protected by the pair of guide plates and deformed along the pair of guide plates.

Abstract: The present invention relates to a use of agar-derived oligosaccharides for inhibiting the growth of Staphylococcus. More specifically, the present invention provides, as a material for medicine, food, cosmetics and the like, a use of agar-derived agarooligosaccharides, agarobiose or AHG, which have an effect of inhibiting the growth of Staphylococcus or killing the same.

Abstract: An apparatus and a method for preventing a vehicle from falling into a sinkhole are provided. The apparatus prevents the vehicle from being unnecessarily stopped by determining whether to stop the vehicle based on a size of the sinkhole while preventing the vehicle from falling into the sinkhole on a road. The apparatus includes a sensor that is mounted on the vehicle to measure a distance to a ground and a controller that determines a size of the sinkhole based on the distance to the ground and determines whether to stop the vehicle while preventing the vehicle from falling into the sinkhole on a road.

Abstract: Proposed are an anodic aluminum oxide mold made of an anodic aluminum oxide film, a manufacturing method thereof, a half-finished probe product, a manufacturing method thereof, a probe card, and a manufacturing method thereof.

Abstract: The present invention relates to a transfer head and a method of manufacturing a micro LED display using the same. In particular, the present invention relates to a transfer head and a method of manufacturing a micro LED display using the same, the transfer head mounting normal micro LEDs on a display substrate without performing a complicated process of sorting out defective micro LEDs from the micro LEDs mounted on the display substrate and replacing the defective micro LEDs with normal micro LEDs.

Abstract: Proposed is a probe head having a probe card for performing a circuit inspection of a wafer. More particularly, proposed are a probe head and a probe card having the probe head, the probe head having a guide plate. The guide plate has a guide hole and a shield portion composed of a metal material positioned at the periphery of the guide hole, thereby blocking signal interference that may be occurred between adjacent probes.

Abstract: A non-volatile memory combines a data cell and a reference cell. The data cell includes a coupling structure and a transistor stack. The transistor stack is electrically coupled to the coupling structure. The data cell can store data and output a data signal that corresponds to the data. The reference cell includes a transistor stack that has the same structure as that of the data cell and outputs a reference signal. A column circuit is electrically coupled to the data cell and the first reference cell and configured to process the data signal using the reference signal.

Abstract: Proposed is an anodic oxide film structure that includes an anodic oxide film sheet and has high strength, chemical resistance and corrosion resistance.

Abstract: A neural network unit is disclosed.

Abstract: A method of manufacturing a probe card and a probe card manufactured using the same are disclosed. The method is configured to be capable of collectively attaching probes to a wiring board provided with a connection pad to which the probes are attached.

Abstract: A user authentication method and a user authentication apparatus acquire an input image including a frontalized face of a user, calculate a confidence map including confidence values, for authenticating the user, corresponding to pixels with values maintained in a depth image of the frontalized face of the user among pixels included in the input image, extract a second feature vector from a second image generated based on the input image and the confidence map, acquire a first feature vector corresponding to an enrolled image, and perform authentication of the user based on a correlation between the first feature vector and the second feature vector.

Abstract: A serialized neural network computing unit is disclosed. This computing unit comprises: a bit line; a memory array having a plurality of memory blocks, each memory block have one or more than one memory cells, each cell connected to the bit line; a control circuit configured to: apply a serialized input to the memory cells in a sequence such that outputs of the memory cells are produced in a sequence in response to the serialized input, wherein each of the outputs corresponds to a multiplication of the input and a weight value stored in the memory cell; and set a group of reference current levels, each having a specific current amount, for the control circuit to control the memory cells in generating respective output currents corresponding to the set of reference current levels.

Abstract: A selective non-volatile memory programming method for a selected memory cell in a memory array is described so as to reduce or avoid program disturbance on an unselected memory cell. This selective programming method comprises: applying a programming pulse to a selected memory cell to be programmed and an unselected memory cell, wherein the programming pulse allows a change of the unselected memory cell within a range specified; boosting a region of the unselected memory cell; and setting a threshold time of the programming pulse, wherein the threshold time is defined when an absolute magnitude of a voltage difference between a floating gate of the unselected memory cell and the boosted region of the unselected memory cell reaches a threshold value defined.

Abstract: A processor-implemented neural network method includes: determining, using a neural network, a feature vector based on a training image of a first class among a plurality of classes; determining, using the neural network, plural feature angles between the feature vector and class vectors of other classes among the plurality of classes; determining a margin based on a class angle between a first class vector of the first class and a second class vector of a second class, among the class vectors, and a feature angle between the feature vector and the first class vector; determining a loss value using a loss function including an angle with the margin applied to the feature angle and the plural feature angles; and training the neural network by updating, based on the loss value, either one or both of one or more parameters of the neural network and one or more of the class vectors.