Abstract: Disclosed are a carboxamide derivative and a pharmaceutical composition comprising same as an active ingredient for use in preventing or treating mental illness. The derivative is superbly effective in a triple reuptake inhibitor of serotonin, norepinephrine, and dopamine, and thus can be effectively used in treating mental illness.

Abstract: A compound, a stereoisomer thereof, a hydrate thereof, or a pharmaceutically acceptable salt thereof, provided as one aspect of the present invention, exhibits a high inhibitory ability on euchromatic histone-lysine N-methyltransferase 2 (EHMT2), and thus, the compound can be usefully used for the treatment of cancer.

Abstract: Training of a machine learning model is included. An electronic device includes a memory storing a machine learning model including a discriminator model, and a processor configured to extract, from a training image, a first image patch and a second image patch at least partially overlapping the first image patch, extract, from the first image patch, a first feature map based on a layer of the discriminator model, extract, from the second image patch, a second feature map based on the layer, extract a first partial feature map from a projected map that is projected based on the first feature map, and train the discriminator model based on a first objective function value generated based on a second partial feature map and the first partial feature map, wherein the second partial feature map corresponds to a part of the extracted second feature map.

Abstract: A method and apparatus for reconstructing an image using an extended neural network is provided. The method includes receiving an input image and reconstructing an output image from the input image using a neural network meeting a predetermined frame constraint. The reconstructing includes transforming the input image into signals corresponding to different frequencies, adjusting coefficients of the transformed signals using a nonlinear function, reconstructing the adjusted coefficients, and inversely transforming all coefficients determined using the reconstructed coefficients into the output image.

Abstract: A method and apparatus for reconstructing an image using an extended neural network is provided. The method includes receiving an input image and reconstructing an output image from the input image using a neural network meeting a predetermined frame constraint. The reconstructing includes transforming the input image into signals corresponding to different frequencies, adjusting coefficients of the transformed signals using a nonlinear function, reconstructing the adjusted coefficients, and inversely transforming all coefficients determined using the reconstructed coefficients into the output image.