Abstract: A pixel includes a first transistor configured to output, to an output terminal, a driving current corresponding to an amplitude of a data voltage, a second transistor connected between a gate of the first transistor and a data line, a third transistor connected between the first transistor and the second transistor, a fourth transistor connected between the first transistor and a driving voltage line, a light-emitting diode connected to the first transistor, a first capacitor connected between the gate of the first transistor and the third transistor, and a second capacitor connected between the third transistor and the driving voltage line.

Abstract: A display device may include a display panel including a plurality of pixels; and a data driver circuit configured to supply a data signal to the plurality of the pixels through data lines. A gate driver circuit, configured to supply a gate signal to the plurality of the pixels through gate lines, is disposed in the display panel. The display panel includes a driving layer including a gate area having the gate driver circuit; and a pixel circuit layer including an active area having a pixel area in which each of the plurality of pixels is disposed and a non-active area around the active area. The pixel circuit layer includes a light emitting diode, a clock line configured to supply a clock signal to the gate driver circuit, and a shielding pattern between the light emitting diode and the clock line.

Abstract: A method of detecting a target object performed by a computing device including at least one processor according to an exemplary embodiment of the present disclosure may include: receiving an input image; and generating first result information related to an area corresponding to a target object from the input image based on a trained neural network-based detection model.

Abstract: A method of detecting a target object performed by a computing device including at least one processor according to an exemplary embodiment of the present disclosure may include: receiving an input image; and generating first result information related to an area corresponding to a target object from the input image based on a trained neural network-based detection model.

Abstract: Disclosed is a method for processing a radar image performed by a computing device including at least one processor. The method may include: creating a first polarization image by performing a first decomposition operation with respect to an input radar image; creating a synthetic image through an image creation model based on the input radar image; and creating result information through an image processing model based on the first polarization image and the synthetic image.

Abstract: Example embodiments relate to a synapse circuit connecting neuron circuits by using two memristors so as to enhance symmetry, a neuromorphic circuit using the same, and a unit cell composing the neuromorphic circuit.