Abstract:
A reorganizable neural network computing device is provided. The computing device includes a data processing array unit including a plurality of operators disposed at locations corresponding to a row and a column. One or more chaining paths which transfer the first input data from the operator of the first row of the data processing array to the operator of the second row are optionally formed. The plurality of first data input processors of the computing device transfer the first input data for a layer of the neural network to the operators along rows of the data processing array unit, and the plurality of second data input processors of the computing device transfer the second input data to the operators along the columns of the data processing array.
Abstract:
Provided is a neural network accelerator which performs a calculation of a neural network provided with layers, the neural network accelerator including a kernel memory configured to store kernel data related to a filter, a feature map memory configured to store feature map data which are outputs of the layers, and a Processing Element (PE) array including PEs arranged along first and second directions, wherein each of the PEs performs a calculation using the feature map data transmitted in the first direction from the feature map memory and the kernel data transmitted in the second direction from the kernel memory, and transmits a calculation result to the feature map memory in a third direction opposite to the first direction.
Abstract:
There are provided a method and apparatus for controlling an electronic device. The apparatus for controlling an electronic device includes a marker recognition unit configured to recognize the marker of the electronic device and a control unit configured to perform communication with the electronic device based on the marker and control the electronic device using a Graphic User Interface (GUI) program received from the electronic device.
Abstract:
An apparatus for compensating for synchronization between left and right image frames in a stereoscopic system includes a similarity calculating unit configured to calculate similarity between left and right image frames on the basis of a scene change point in time of the left and right image frames, a left and right image frame difference value extracting unit configured to search a stereoscopic pair on the basis of the similarity and extract a temporal frame difference value between the left and right image frames, and a left and right image frame synchronization compensating unit configured to perform synchronization by shifting any one of the the left and right image frames on a time axis on the basis of the left and right image frame difference value.