Abstract:
An electronic device and a controlling method of an electronic device are provided. An electronic device recursively determines a plurality of layers of a neural network model. Weight data of first model information is recursively quantized to obtain a second neural network model. The recursive quantization begins with the weight data and determines an iteration count of a recursion. The recursion operates on error data, quantized weight data, scale data and quantized error data to obtain the iteration count. A first bit-width of the weight data is reduced to a second bit-width of the quantized weight data. The recursion may be performed on a per-layer basis. The weight data may be formulated in a floating-point format and the quantized weight data may be formulated in a fixed point format with an integer number of bits.
Abstract:
A device is provided including processing circuitry configured to generate a plurality of file fragments by splitting a file stored in the device, and to determine a plurality of cloud storages used to store respective file fragments from the plurality of file fragments, wherein the plurality of cloud storages are from among cloud storages in which a user of the device is registered; and communication circuitry configured to request the plurality of cloud storages to respectively store the plurality of file fragments.
Abstract:
An electronic apparatus is provided. The electronic apparatus includes a memory configured to store an artificial intelligence (AI) model including a plurality of layers and a processor, and the AI model may include a plurality of weight values that are scaled based on shift scaling factors different by a plurality of channels included in each of the plurality of layers and quantized by the plurality of layers, and the processor may, based on receiving input data, in a neural network computation process for the input data, compute a channel-wise computation result with an inverse-scaled composite scale parameter based on a shift scaling factor corresponding to each channel.