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.

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: An accelerator includes processing elements configured to perform an operation associated with an instruction received from a host processor, hierarchical memories configured to be accessible by any one or any combination of any two or more of the processing elements, and sub-cores configured to prefetch data associated with the operation to a memory of a corresponding level of the hierarchical memories.

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 scheduler, a method of operating the scheduler, and an accelerator apparatus including the scheduler are disclosed. A method of operating a scheduler to perform scheduling on models to be executed in an accelerator, the method includes receiving at least one execution request for a first model and a second model that are executed independently from each other in the accelerator, and performing layer-unit scheduling on the first model and the second model based on workload characteristics of the first model and the second model.

Abstract: A method and a system for generating a 3D image of a character through steps of: receiving an identifier of a template and a two-dimensional (2D) image of the character generated based on the template corresponding to a type of the character; acquiring template information of the template from a template library by using the identifier, and extracting an effective parameter for machine learning to be performed to generate the 3D image based on the template information and the 2D image; and generating the 3D image of the character by performing the machine learning based on the effective parameter and the template information are provided.

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: Disclosed herein are an apparatus and method for generating a 3D model. The apparatus for generating a 3D model 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 two-dimensional (2D) original image layers for respective viewpoints, and generate pieces of 2D original image information for respective objects by performing original image alignment on the 2D original image layers for respective viewpoints for each predefined object type, generate 3D model layers for respective objects from the pieces of 2D original image information for respective objects using multiple learning models corresponding to the predefined object types, and generate a 3D model by synthesizing the 3D model layers for respective objects.

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: Disclosed herein are a three-way authentication apparatus and method in a cloud environment. The three-way authentication method in a cloud environment includes performing, by a control device and a service device, mutual authentication through an IF-1 interface, performing, by the control device and a function server, mutual authentication through an IF-2 interface, requesting, by the control device, the function server to issue an authentication token for authentication between the service device and the function server, and delivering an authentication token issued by the function server to the service device, and performing, by the service device, mutual authentication with the function server using the delivered authentication token through an IF-3 interface.

Abstract: A memory device includes a memory configured to store input data and filter data for a convolution operation, and a function processor configured to, in response to a read command of at least a portion of data from among the input data and the filter data, transform the at least a portion of the data based on a parameter of the convolution operation during a clock cycle corresponding to the read command and output a corresponding transformation result as transformed data.

Abstract: A camera auxiliary device for privacy protection and a privacy protection method using the camera auxiliary device. The camera auxiliary device for privacy protection includes a processor for splitting an input light beam that is reflected from a capturing target into a first input beam for detecting a privacy protection area and a second input beam to be transferred to a camera connected to a user terminal, detecting a privacy protection area in an image signal generated based on the first input beam, and converting the second input beam and then transferring a converted second input beam to the camera so that personal information included in the privacy protection area is not visually identified, and a memory for storing the image signal and the privacy protection area.

Abstract: An access sheath is provided. The access sheath comprises: an outer sheath extending to be long in one direction, and having an insertion space formed in a lengthwise direction; and an inner sheath drawn into the insertion space of the outer sheath, and having a plurality of balloons, wherein the outer sheath comprises: an outer body having a cutting gap formed along the lengthwise direction of the outer sheath; and an elastic connection part filled in the cutting gap so as to connect a cutting area of the outer body, and provided as an elastic material more flexible than that of the outer body, wherein the elastic connection part expands and the diameter of the outer body increases according to an expansion of the balloons.

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: According to one embodiment of the present invention, a method for providing a translation service by using an electronic device can comprise the steps of: receiving an original text written in a first language; displaying the original text in a first area on a display; generating a translation created by translating the original text into a second language; extracting a keyword from the translation; displaying the translation in a second area on the display; and displaying content related to the keyword in a third area on the display if the keyword is selected from the translation. In addition, other examples are also possible.

Abstract: A method and a system for generating a 3D image of a character through steps of: receiving an identifier of a template and a two-dimensional (2D) image of the character generated based on the template corresponding to a type of the character; acquiring template information of the template from a template library by using the identifier, and extracting an effective parameter for machine learning to be performed to generate the 3D image based on the template information and the 2D image; and generating the 3D image of the character by performing the machine learning based on the effective parameter and the template information are provided.

Abstract: Disclosed herein are a three-way authentication apparatus and method in a cloud environment. The three-way authentication method in a cloud environment includes performing, by a control device and a service device, mutual authentication through an IF-1 interface, performing, by the control device and a function server, mutual authentication through an IF-2 interface, requesting, by the control device, the function server to issue an authentication token for authentication between the service device and the function server, and delivering an authentication token issued by the function server to the service device, and performing, by the service device, mutual authentication with the function server using the delivered authentication token through an IF-3 interface.

Abstract: Disclosed herein are an apparatus and method for generating a training data set for machine learning. The method for generating a training data set, performed by the apparatus for generating the training data set for machine learning, includes generating a 3D model for a deformed 3D character based on 3D data pertaining to the 3D character, generating a 2D image corresponding to the 3D model, and generating the training data set for machine learning, through which the 3D character is generated from the 2D image, using the 2D image and the 3D model.