Abstract: An accelerator includes: a memory configured to store input data; a plurality of shift buffers each configured to shift input data received sequentially from the memory in each cycle, and in response to input data being stored in each of internal elements of the shift buffer, output the stored input data to a processing element (PE) array; a plurality of backup buffers each configured to store input data received sequentially from the memory and transfer the stored input data to one of the shift buffers; and the PE array configured to perform an operation on input data received from one or more of the shift buffers and on a corresponding kernel.

Abstract: A scheduler, a method of operating the scheduler, and an electronic device including the scheduler are disclosed.

Abstract: A processor-implemented encryption method using homomorphic encryption includes: receiving data; generating a ciphertext by encrypting the received data; determining a coefficient of an approximating polynomial for performing a modular reduction on a modulus corresponding to the ciphertext, based on an error between the approximating polynomial and a modular reduction function; and performing bootstrapping on the ciphertext by performing the modular reduction based on the determined coefficient of the approximating polynomial.

Abstract: A reservoir management method includes: in response to receiving input data to which label information is mapped, determining whether to add the input data to a reservoir based on a sampling probability; in response to determining to add the input data to the reservoir when the reservoir is filled, selecting candidate data to be removed from among sets of sample data included in the reservoir based on a target label distribution and a current label distribution of the reservoir, and removing the selected candidate data from the reservoir; and training a neural network model using sample data of the reservoir from which the selected candidate data is removed.

Abstract: A processor-implemented neural network data processing method includes: receiving input data; determining a portion of channels to be used for calculation among channels of a neural network based on importance values respectively corresponding to the channels of the neural network; and performing a calculation based on the input data using the determined portion of channels of the neural network.

Abstract: A processor-implemented method of detecting a moving object includes: estimating a depth image of a current frame; determining an occlusion image of the current frame by calculating a depth difference value between the estimated depth image of the current frame and an estimated depth image of a previous frame; determining an occlusion accumulation image of the current frame by adding a depth difference value of the occlusion image of the current frame to a depth difference accumulation value of an occlusion accumulation image of the previous frame; and outputting an area of a moving object based on the occlusion accumulation image.

Abstract: An encryption method and apparatus based on homomorphic encryption using an odd function property. The encryption method includes generating a ciphertext by encrypting data, and bootstrapping the ciphertext by performing a modular reduction based on an odd function property for a modulus corresponding to the ciphertext.

Abstract: Disclosed is an encryption method and apparatus. The encryption method using homomorphic encryption may include generating a ciphertext by encrypting data, and bootstrapping the ciphertext by performing a modular reduction based on a selection of one or more target points for a modulus corresponding to the ciphertext.

Abstract: An encryption method and apparatus based on homomorphic encryption using a composition of functions. The encryption method includes generating a ciphertext by encrypting data, and bootstrapping the ciphertext by performing a modular reduction based on a composition of a function for a modulus corresponding to the ciphertext.

Abstract: A method of preparing an immunological substance detection nanowire complex includes preparing a multilayer nanowire in which a first metal and a second metal are alternately stacked, attaching a polymer, having a carboxyl group and an amine group at both ends of the polymer, to the second metal, attaching a first antibody, treated with a thiol's group, to the first metal of the multilayer nanowire, and attaching a second antibody to the second metal through the carboxyl group of the polymer. The second antibody includes a phosphor.

Abstract: A method and apparatus for processing a ciphertext based on homomorphic encryption. The method includes determining an approximate polynomial corresponding to a modulus reduction for bootstrapping a ciphertext based on samples extracted from the modulus reduction, and bootstrapping the ciphertext based on the approximate polynomial.

Abstract: A method and an apparatus for generating a code for a neural network operation are disclosed. The method includes receiving information on hardware configured to perform a neural network operation of the neural network, generating, using a processor, a target mapping model mapping the neural network operation on processing elements available to perform the neural network operation based on the information and a structure of the neural network, and generating a code to configure the hardware to perform the neural network operation based on the target mapping model.

Abstract: An accelerator, an operation method of the accelerator, and an accelerator apparatus including the accelerator are disclosed. The operation method includes receiving one or more workloads assigned by a main processor, performing at least one operation involved with the workloads in an internal memory of the accelerator or in a direct memory access (DMA) configured to control data input to or output from the internal memory, and providing a result of performing the at least one operation.

Abstract: An accelerator, an operation method of the accelerator, and an accelerator system including the accelerator are disclosed. The operation method includes receiving one or more workloads assigned by a host controller, determining reuse data of the workloads based on hardware resource information and/or a memory access cost of the accelerator when a plurality of processing units included in the accelerator performs the workloads, and providing a result of performing the workloads.

Abstract: The present invention relates to a core-shell nanocomposite including fluorescent bodies disposed to have a uniform distance in a perpendicular direction from a surface thereof, to a method of manufacturing same, and to a use for a probe for metal-enhanced fluorescence.

Abstract: Provided is a color encoding method including providing a composition including a liquid medium and magnetic nanoparticles dispersed in the liquid medium; applying a magnetic field to the composition to align the magnetic nanoparticles; and applying a patterned energy source to the composition to solidify the composition, wherein more than one region of the composition are sequentially solidified with varying magnetic field strength to fix a plurality of color codes.

Abstract: Disclosed is an ego motion estimation method and apparatus, wherein the apparatus calculates a scene flow field from a plurality of spaces of an input image, clusters the plurality of spaces based on a scene flow, updates a probability vector map for clustered spaces, identifies a stationary background based on the updated probability vector map, and estimates ego motion information based on the identified stationary background.

Abstract: A processor-implemented object detection method is provided. The method receives an input image, generates a latent variable that indicates a feature distribution of the input image, and detects an object in the input image based on the generated latent variable.

Abstract: An aberration correction method and apparatus. The apparatus includes at least one processor, and an input/output unit configured to receive an captured image, wherein the processor is configured to initialize a first matrix or a second matrix by reducing a matrix of a point spread function (PSF) of a lens included in a capturing device used to capture the captured image, iteratively perform an aberration removal and a noise removal based on the captured image and the first matrix or the second matrix, and output a final original image as a result of the iteratively performing. Here, the first matrix is a matrix obtained by reducing the number of indices indicating light arrival points of the matrix of the PSF, and the second matrix is a matrix obtained by reducing the number of indices corresponding to light arrival points of a transposed matrix of the PSF.

Abstract: Provided is a smart insole including a support layer; a plurality of pressure sensors provided to the support layer and configured to sense a pressure; a plurality of vibrators provided to the support layer and configured to generate a vibration; and a controller configured to determine a center of pressure (COP) based on a pressure sensed by each of the plurality of pressure sensors and to control the plurality of vibrators based on a positional relationship between a setting point and the COP.