Skhynix Inc.

Young-Jae Jin

Hyun-Seok Kim

Hong-Sik Kim

Young-Suk Moon

Joon-Woo Kim

Disclosed herein is a convolutional neural network (CNN) operation apparatus, including at least one channel hardware set suitable for performing a feature extraction layer operation and a classification layer operation based on input data and weight data, and a controller coupled to the channel hardware set. The controller may control the channel hardware set to perform the feature extraction layer operation and perform a classification layer operation when the feature extraction layer operation is completed.

Operation apparatus and method for convolutional neural network

A memory system includes a memory module comprising a plurality of memory devices, and a memory controller suitable for controlling the plurality of memory devices to perform a refresh operation or performing an error correction code (ECC) operation on the plurality of memory devices, according to a refresh operation request.

Memory controller for controlling refresh operation and memory system including the same

A neural network device may include an input unit suitable for applying input signals to corresponding first lines, a calculating unit including memory elements cross-connected between the first lines and second lines, wherein the memory elements have respective weight values and generate product signals of input signals of corresponding first lines from among the plurality of first lines and weights to output the product signals to corresponding second lines from among the second lines, a drop-connect control unit including switches connected between the plurality of first lines and the plurality of memory elements, and suitable for randomly dropping a connection of an input signal applied to a corresponding memory element from among the plurality of memory elements, and an output unit connected to the plurality of second lines, and suitable for selectively activating signals of the plurality of second lines to apply the activated signals to the input unit and performing an output for the activated signals when the calculating unit performs generating of the product signals a set number of times.

Apparatus and method for normalizing neural network device

A memory system includes first and second memory devices having at least one different characteristic from each other and a controller suitable for configuring an address map of data stored in the first and the second memory devices, checking access frequency of the stored data, and updating the address map based on a result of the checking.

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Seoul, South Korea

Young-Jae Jin