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: A processor-implemented accelerator method includes: reading, from a memory, an instruction to be executed in an accelerator; reading, from the memory, input data based on the instruction; and performing, on the input data and a parameter value included in the instruction, an inference task corresponding to the instruction.

Abstract: A method for realizing a real-time spatial structure in an apparatus for realizing a real-time spatial structure is provided. The method for realizing a real-time spatial structure includes: tracking a movement path of a player; and realizing a spatial structure in the space on the movement path of the player using at least one of water sprayed through water spray modules of a mesh structure installed on a ceiling and electromagnet ropes of the mesh structure.

Abstract: Disclosed is a powertrain for a hybrid vehicle including a first motor provided to be selectively connected to an engine, a second motor provided to be selectively connected to the first motor, and an output shaft provided to transfer the rotational force of the second motor to drive wheels of the vehicle.

Abstract: Disclosed is a Python-based integrated management method of an urban customized weather database for constructing urban weather observation data as an integrated database. The method includes the steps of: storing raw urban weather observation data collected from a plurality of urban weather observation networks as first files of a predetermined format according to an order of observation time at each observation point of the urban weather observation networks; extracting data of each observation point of the urban weather observation networks from the stored first files according to the order of observation time, for a predetermined weather element and analysis period; masking observation values belonging to a predetermined masking condition, among observation values included in the extracted data; and storing the masking-processed data as a second file.

Abstract: A computing method and device for large-scale computing is provided. The computing device includes at least one processing device configured to perform an operation related to a neural network, a sensor configured to sense an electrical characteristic of the at least one processing device, an operating frequency of the at least one processing device, and a temperature of the at least one processing device, and a processor configured to calculate a workload to be allocated to the at least one processing device based on an operating mode of the at least one processing device, the electrical characteristic of the at least one processing device, the operating frequency of the at least one processing device, and the temperature of the at least one processing device, and control the electrical characteristic, the operating frequency, and the temperature based on the operating mode and the workload.

Abstract: An embodiment hybrid powertrain for a vehicle includes a first input shaft configured to be interlocked with an engine, a second input shaft configured to be interlocked with a first motor and to be parallel to the first input shaft, a third input shaft configured to be interlocked with a second motor and to be parallel to the second input shaft, an output shaft mounted parallel to the third input shaft, a first selective mesh device configured to transmit power from the second input shaft to the output shaft at multiple different gear ratios, a second selective mesh device configured to transmit the power from the third input shaft to the output shaft at the multiple different gear ratios, and a third selective mesh device configured to transmit the power from the first input shaft to the second input shaft or the third input shaft.

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: An electronic device includes: a host processor configured to control an operation of the electronic device; accelerators of heterogeneous hardware types configured to exchange data with each other through direct communication; and a control unit configured to convert a command received from the host processor, based on a type of each of the accelerators and transfer a result of the converting to a corresponding accelerator among the accelerators.

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 processor, a method of operating the processor, and an electronic device including the processor are disclosed. The method includes arranging, in respective input registers, weights and activations having a smaller number of bits than a minimum operation unit of an operator included in the processor, performing a multiplication between values stored in the input registers, storing a result of the multiplication in an output register, and outputting, from the output register, a value in a preset bit range as a result of a dot product between a first vector including the weights and a second vector including the activations.

Abstract: An electronic device includes: a host box comprising a host processor configured to control an operation of the electronic device, a host motherboard in which the host processor is disposed, and a host power supply unit (PSU) configured to supply power to a component connected to the host motherboard; and one or more extension boxes controlled by the host box, wherein each of the one or more extension boxes comprises an extension motherboard independent of the host box, and an extension PSU independent of the host box and configured to supply power to a component connected to the extension motherboard.

Abstract: Disclosed herein are an apparatus and method for guiding multi-view capture. The apparatus for guiding multi-view capture includes one or more processors and an execution memory for storing at least one program that is executed by the one or more processors, wherein the at least one program is configured to receive a single-view two-dimensional (2D) image obtained by capturing an image of an object of interest through a camera, generate an orthographic projection image and a perspective projection image for the object of interest from the single-view 2D image using an image conversion parameter that is previously learned from multi-view 2D images for the object of interest, generate a 3D silhouette model for the object of interest using the orthographic projection image and the perspective projection image, and output the 3D silhouette model and a guidance interface for the 3D silhouette model.

Abstract: The present disclosure relates to a device for testing insulation properties of a transformer, comprising: a low-voltage winding part and a high-voltage winding part that are arranged concentrically with each other; an iron core for testing combined with the low-voltage winding part and the high-voltage winding part and adjustable in height according to the height of low-voltage winding part and the high-voltage winding part; a low-voltage terminal part connected to both ends of the winding of the low-voltage winding part; a high-voltage terminal part connected to both ends of the winding of the high-voltage winding part.

Abstract: An apparatus with deep learning includes: a systolic adder tree including adder trees connected in row and column directions; and an input multiplexer connected to an input register of at least one of the adder trees and configured to determine column directional data movement between the adder trees based on operation modes.

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

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: Disclosed herein are a learning-based three-dimensional (3D) model creation apparatus and method. A method for operating a learning-based 3D model creation apparatus includes generating multi-view feature images using supervised learning, creating a three-dimensional (3D) mesh model using a point cloud corresponding to the multi-view feature images and a feature image representing internal shape information, generating a texture map by projecting the 3D mesh model into three viewpoint images that are input, and creating a 3D model using the texture map.

Abstract: A computing device and method is disclosed. The computing device includes a plurality of processing cores, and a tile scheduler configured to update a cost matrix of each of the plurality of processing cores based on meta information of each of first tiles previously allocated to the plurality of processing cores and meta information of each of second tiles, and allocate the second tiles with respect to the plurality of processing cores using the updated cost matrix of each of the plurality of processing cores.

Abstract: An access sheath is provided. The access sheath comprises: an outer sheath extending in one direction and having a cavity formed along a longitudinal axis of the outer sheath; and an inner sheath arranged in the cavity of the outer sheath, and having a plurality of balloons configured to expand, wherein the outer sheath includes: an outer body formed of a first material; and an elastic connection part formed of a second material which is more flexible than the first material of the outer body, and wherein a diameter of the outer sheath increases by the elastic connection part which expands according to an expansion of the balloons.