Abstract: The polymerase chain reaction (PCR) has limitations, including a lack of efficient search strategies and inefficiencies in securing primer sequence lengths, despite its high sensitivity and specificity. Therefore, the present invention has been devised to address these issues, concerning a composition for the selection of the desired nucleic acid and a method for nucleic acid selection using it. By using the composition and method of the present invention, it becomes possible to hierarchically, efficiently, and selectively detect and amplify subsets of oligonucleotides with high specificity, which is expected to be widely utilized in the overall bio/medical field.

Abstract: The present invention relates to a method for purifying a nucleic acid and a method for analyzing the presence of a target nucleic acid in a sample, and relates to a method for purifying a target nucleic acid from a nucleic acid library to high purity or a method for analyzing the presence of a target nucleic acid in a sample. Specifically, the present invention relates to a method for purifying and analyzing a nucleic acid for selecting a target nucleic acid based on whether a nucleic acid complementary to the target nucleic acid is synthesized.

Abstract: A processor-implemented neural network method includes calculating individual update values for a weight assigned to a connection relationship between nodes included in a neural network; generating an accumulated update value by adding the individual update values; and training the neural network by updating the weight using the accumulated update value in response to the accumulated update value being equal to or greater than a threshold value, wherein the threshold value is a value of 2n of an n-th bit of the weight, where the n-th bit is a bit of lesser significance than a bit in the weight representing a largest magnitude bit among all bits of the weight

Abstract: A processor-implemented neural network method includes calculating individual update values for a weight assigned to a connection relationship between nodes included in a neural network; generating an accumulated update value by accumulating the individual update values in an accumulation buffer; and training the neural network by updating the weight using the accumulated update value in response to the accumulated update value being equal to or greater than a threshold value.

Abstract: An encoding method includes receiving input data represented by a 16-bit half floating point, adjusting a number of bits of an exponent and a mantissa of the input data to split the input data into 4-bit units, and encoding the input data in which the number of bits has been adjusted such that the exponent is a multiple of “4”.

Abstract: Disclosed is a storage method of DNA digital data, including: encoding a plurality of bit data to a plurality of base sequences including at least one degenerate base; and synthesizing at least two types of bases constituting the at least one degenerate base on a substrate based on a mixing ratio.

Abstract: A processor-implemented neural network method includes: obtaining, from a memory, data of an input feature map and kernels having a binary-weight, wherein the kernels are to be processed in a layer of a neural network; decomposing each of the kernels into a first type sub-kernel reconstructed with weights of a same sign, and a second type sub-kernel for correcting a difference between a respective kernel, among the kernels, and the first type sub-kernel; performing a convolution operation by using the input feature map and the first type sub-kernels and the second type sub-kernels decomposed from each of the kernels; and obtaining an output feature map by combining results of the convolution operation.

Abstract: Provided is a method of isolating biochemical molecules on a microarray substrate, the method including providing a microarray substrate to which clusters of different kinds of biochemical molecules being classified by individual spot units are attached, the individual spots being regularly arranged thereon; obtaining location information of the individual spot in which a desired cluster among clusters of the biochemical molecules locates; locating an extraction tool for applying energy to isolate the desired cluster according to the location information; and isolating the desired cluster from the microarray substrate by applying energy in a contact or non-contact manner using the extraction tool.

Abstract: A processor-implemented neural network method includes: obtaining, from a memory, data of an input feature map and kernels having a binary-weight, wherein the kernels are to be processed in a layer of a neural network; decomposing each of the kernels into a first type sub-kernel reconstructed with weights of a same sign, and a second type sub-kernel for correcting a difference between a respective kernel, among the kernels, and the first type sub-kernel; performing a convolution operation by using the input feature map and the first type sub-kernels and the second type sub-kernels decomposed from each of the kernels; and obtaining an output feature map by combining results of the convolution operation.

Abstract: A processor-implemented neural network method includes: obtaining, from a memory, data an input feature map and kernels having a binary-weight, wherein the kernels are to be processed in a layer of a neural network; decomposing each of the kernels into a first type sub-kernel reconstructed with weights of a same sign, and a second type sub-kernel for correcting a difference between a respective kernel, among the kernels, and the first type sub-kernel; performing a convolution operation by using the input feature map and the first type sub-kernels and the second type sub-kernels decomposed from each of the kernels; and obtaining an output feature map by combining results of the convolution operation.

Abstract: Disclosed is a storage method of DNA digital data, including: encoding a plurality of bit data to a plurality of base sequences including at least one degenerate base; and synthesizing at least two types of bases constituting the at least one degenerate base on a substrate based on a mixing ratio.

Abstract: A processor-implemented neural network method includes calculating individual update values for a weight assigned to a connection relationship between nodes included in a neural network; generating an accumulated update value by accumulating the individual update values in an accumulation buffer; and training the neural network by updating the weight using the accumulated update value in response to the accumulated update value being equal to or greater than a threshold value.

Abstract: A processor-implemented neural network method includes: obtaining, from a memory, data an input feature map and kernels having a binary-weight, wherein the kernels are to be processed in a layer of a neural network; decomposing each of the kernels into a first type sub-kernel reconstructed with weights of a same sign, and a second type sub-kernel for correcting a difference between a respective kernel, among the kernels, and the first type sub-kernel; performing a convolution operation by using the input feature map and the first type sub-kernels and the second type sub-kernels decomposed from each of the kernels; and obtaining an output feature map by combining results of the convolution operation.

Abstract: Provided is a method of isolating biochemical molecules on a microarray substrate, the method including providing a microarray substrate to which clusters of different kinds of biochemical molecules being classified by individual spot units are attached, the individual spots being regularly arranged thereon; obtaining location information of the individual spot in which a desired cluster among clusters of the biochemical molecules locates; locating an extraction tool for applying energy to isolate the desired cluster according to the location information; and isolating the desired cluster from the microarray substrate by applying energy in a contact or non-contact manner using the extraction tool.