公开(公告)号：US20200326852A1

公开(公告)日：2020-10-15

申请号：US16674919

申请日：2019-11-05

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Se-Bum Paik ,  Hyeonsu Lee ,  Youngjin Park

IPC: G06F3/06 ,  G06N3/04 ,  G06N3/08

Abstract: Provided are a storage device using a neural network and an operating method of the storage device for automatic redistribution of information and variable storage capacity based on accuracy-storage capacity tradeoff that may learn input information using the neural network and may store the learned information. The neural network may include a plurality of input neurons and a plurality of output neurons; at least one stable synapse configured to connect at least one of the input neurons and at least one of the output neurons, respectively; and at least one flexible synapse configured to connect at least one remaining of the input neurons and at least one remaining of the output neurons, respectively.

公开(公告)号：US11467728B2

公开(公告)日：2022-10-11

申请号：US16674919

申请日：2019-11-05

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Se-Bum Paik ,  Hyeonsu Lee ,  Youngjin Park

IPC: G06F3/06 ,  G06N3/08 ,  G06N3/04

Abstract: Provided are a storage device using a neural network and an operating method of the storage device for automatic redistribution of information and variable storage capacity based on accuracy-storage capacity tradeoff that may learn input information using the neural network and may store the learned information. The neural network may include a plurality of input neurons and a plurality of output neurons; at least one stable synapse configured to connect at least one of the input neurons and at least one of the output neurons, respectively; and at least one flexible synapse configured to connect at least one remaining of the input neurons and at least one remaining of the output neurons, respectively.