Abstract: An organic light-emitting diode (OLED) device includes a substrate, a well structure on the substrate with the well structure having a recess with side walls and a floor, a lower metal layer covering the floor and side-walls of the well, an upper conductive layer on the lower metal layer covering the floor of the well and contacting the lower metal layer, the upper conductive layer having outer edges at about an intersection of the side walls and the floor, a dielectric layer formed of an oxide of the lower metal layer covering the side walls of the well without covering the upper conductive layer, a stack of OLED layers covering at least the floor of the well, the upper conductive layer providing an electrode for the stack of OLED layers, and a light extraction layer (LEL) in the well over the stack of OLED layers and the dielectric layer.

Abstract: Exemplary subpixel structures include a directional light-emitting diode structure characterized by a full-width-half-maximum (FWHM) of emitted light having a divergence angle of less than or about 10°. The subpixel structure further includes a lens positioned a first distance from the light-emitting diode structure, where the lens is shaped to focus the emitted light from the light-emitting diode structure. The subpixel structure still further includes a patterned light absorption barrier positioned a second distance from the lens. The patterned light absorption barrier defines an opening in the barrier, and the focal point of the light focused by the lens is positioned within the opening. The subpixels structures may be incorporated into a pixel structure, and pixel structures may be incorporated into a display that is free of a polarizer layer.

Abstract: A light-emitting diode display including a substrate having a driving circuitry and a plurality of light emitting diode structures disposed on the substrate. Each light-emitting diode structure has a light emitting diode with a light emission zone having a planar portion, and a pigmentless light extraction layer of a UV-cured ink disposed over the light-emitting diode. The light extraction layer has a gradient in index of refraction along an axis normal to the planar portion, and the index of refraction of the light extraction layer decreases with distance from the planar portion.

Abstract: The present disclosure is generally related to 3D imaging capable OLED displays. A light field display comprises an array of 3D light field pixels, each of which comprises an array of corrugated OLED pixels, a metasurface layer disposed adjacent to the array of 3D light field pixels, and a plurality of median layers disposed between the metasurface layer and the corrugated OLED pixels. Each of the corrugated OLED pixels comprises primary or non-primary color subpixels, and produces a different view of an image through the median layers to the metasurface to form a 3D image. The corrugated OLED pixels combined with a cavity effect reduce a divergence of emitted light to enable effective beam direction manipulation by the metasurface. The metasurface having a higher refractive index and a smaller filling factor enables the deflection and direction of the emitted light from the corrugated OLED pixels to be well controlled.

Abstract: Disclosed is a method and device for processing data, and the method includes generating a target augmentation task sequence by processing the target data with a trained first model that performs inference on the target data to generate the target data augmentation task sequence, generate augmented target data by performing data augmentation on the target data according to the target augmentation task sequence, and obtaining a prediction result corresponding to the target data by inputting the augmented target data to a trained second model and performing a corresponding processing on the augmented target data by the trained second model.

Abstract: An inference system applies a machine-learning transformer model to a batch of requests with variable input length or variable target length or variable internal state length by selectively batching a subset of operations in the transformer model but processing requests in the batch individually for a subset of operations in the transformer model. In one embodiment, the operation to be processed individually is an attention operation of an encoder or a decoder of the transformer model. By selective batching, the inference system can allow batching operations to be performed for a batch of requests with variable input or target length or internal state length to utilize the parallel computation capabilities of hardware accelerators while preventing unnecessary computations that occur for workarounds that restrain the data of a batch of requests to a same length.

Abstract: An inference system applies a machine-learning transformer model to a batch of requests with variable input length or variable target length or variable internal sate length by selectively batching a subset of operations in the transformer model but processing requests in the batch individually for a subset of operations in the transformer model. In one embodiment, the operation to be processed individually is an attention operation of an encoder or a decoder of the transformer model. By selective batching, the inference system can allow batching operations to be performed for a batch of requests with variable input or target length or internal state length to utilize the parallel computation capabilities of hardware accelerators while preventing unnecessary computations that occur for workarounds that restrain the data of a batch of requests to a same length.

Abstract: Solutions for adapting machine learning (ML) models to neural networks (NNs) include receiving an ML pipeline comprising a plurality of operators; determining operator dependencies within the ML pipeline; determining recognized operators; for each of at least two recognized operators, selecting a corresponding NN module from a translation dictionary; and wiring the selected NN modules in accordance with the operator dependencies to generate a translated NN. Some examples determine a starting operator for translation, which is the earliest recognized operator having parameters. Some examples connect inputs of the translated NN to upstream operators of the ML pipeline that had not been translated. Some examples further tune the translated NN using backpropagation. Some examples determine whether an operator is trainable or non-trainable and flag related parameters accordingly for later training.

Abstract: Disclosed is a target tracking method and apparatus. The target tracking apparatus includes a processor configured to obtain a first depth feature from a target region image and obtain a second depth feature from a search region image, obtain a global response diagram between the first depth feature and the second depth feature, acquire temporary bounding box information based on the global response diagram, updated the second depth feature based on the temporary bounding box information, obtain local feature blocks based on the first depth feature, obtain a local response diagram based on the local feature blocks and the updated second depth feature, and determine output bounding box information based on the local response diagram.

Abstract: An electronic device is provided. The electronic device includes a display configured to display information, an input device configured to receive a user input, an image sensor, a processor electrically connected with the display, the input device, and the image sensor, and a non-transitory computer readable storage medium electrically connected with the processor that stores instructions that cause the processor to control the display to display first-level information as a locking mode is partially released when partial authentication passes based on bio-information acquired through the image sensor in a state in which the electronic device is in the locking mode, and control the display to display second-level information having a security level higher than a security level of the first-level information as the locking mode is fully released when full authentication passes based on a user input made through the input device.

Abstract: An electronic device and method of processing a payment at the electronic device are provided. The electronic device includes a security memory configured to store payment information of a near field communication (NFC) method, payment information of a magnetic security transmit (MST) method, and fingerprint information, and a processor configured to control a multiple payment operation of the NFC method and the MST method when fingerprint information obtained through fingerprint detection is valid. The processor is further configured to control a signal processing information according to the NFC method operation and a signal processing information according to the MST method operation to be outputted as one screen interface.

Abstract: An electronic device is provided. The electronic device includes a display configured to display information, an input device configured to receive a user input, an image sensor, a processor electrically connected with the display, the input device, and the image sensor, and a non-transitory computer readable storage medium electrically connected with the processor that stores instructions that cause the processor to control the display to display first-level information as a locking mode is partially released when partial authentication passes based on bio-information acquired through the image sensor in a state in which the electronic device is in the locking mode, and control the display to display second-level information having a security level higher than a security level of the first-level information as the locking mode is fully released when full authentication passes based on a user input made through the input device.

Abstract: An electronic device is provided. The electronic device includes a display configured to display information, an input device configured to receive a user input, an image sensor, a processor electrically connected with the display, the input device, and the image sensor, and a non-transitory computer readable storage medium electrically connected with the processor that stores instructions that cause the processor to control the display to display first-level information as a locking mode is partially released when partial authentication passes based on bio-information acquired through the image sensor in a state in which the electronic device is in the locking mode, and control the display to display second-level information having a security level higher than a security level of the first-level information as the locking mode is fully released when full authentication passes based on a user input made through the input device.

Abstract: A user terminal supporting mobile payment service is provided. The user terminal includes a display, a memory in which a payment application is stored, and a processor configured to run the payment application. If at least one specified user input occurs on the display while in a locked state, the processor runs the payment application without unlocking the locked state. Thus the payment application may be quickly launched from the locked state.

Abstract: A user terminal supporting mobile payment service is provided. The user terminal includes a display, a memory in which a payment application is stored, and a processor configured to run the payment application. If at least one specified user input occurs on the display while in a locked state, the processor runs the payment application without unlocking the locked state. Thus the payment application may be quickly launched from the locked state.

Abstract: A user terminal supporting mobile payment service is provided. The user terminal includes a display, a memory in which a payment application is stored, and a processor configured to run the payment application. If at least one specified user input occurs on the display while in a locked state, the processor runs the payment application without unlocking the locked state. Thus the payment application may be quickly launched from the locked state.

Abstract: A user terminal supporting mobile payment service is provided. The user terminal includes a display, a memory in which a payment application is stored, and a processor configured to run the payment application. If at least one specified user input occurs on the display while in a locked state, the processor runs the payment application without unlocking the locked state. Thus the payment application may be quickly launched from the locked state.

Abstract: A user terminal supporting mobile payment service is provided. The user terminal includes a display, a memory in which a payment application is stored, and a processor configured to run the payment application. If at least one specified user input occurs on the display while in a locked state, the processor runs the payment application without unlocking the locked state. Thus the payment application may be quickly launched from the locked state.

Abstract: An apparatus is provided including a camera; and a processing circuitry configured to: capture an image of a scanning device by using the camera; and output a first scannable item based on the captured image of the scanning device.

Abstract: An electronic device and method of processing a payment at the electronic device are provided. The electronic device includes a security memory configured to store payment information of a near field communication (NFC) method, payment information of a magnetic security transmit (MST) method, and fingerprint information, and a processor configured to control a multiple payment operation of the NFC method and the MST method when fingerprint information obtained through fingerprint detection is valid. The processor is further configured to control a signal processing information according to the NFC method operation and a signal processing information according to the MST method operation to be outputted as one screen interface.