NEURAL NETWORK GENERATION METHOD FOR NEUROMORPHIC COMPUTING AND APPARATUS FOR THE SAME

Patent №

US 11,630,992

Granted

2023-04-18

Filed 2020

Owner

ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Lab

AI components

3

ml · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16894276

Disclosed herein are a neural network generation method for neuromorphic computing and an apparatus for the same. The neural network generation method for neuromorphic computing includes selecting at least one part of a brain corresponding to a neural network function requested to be generated by an application, determining whether an existing neural network corresponding to the at least one part of the brain is present in a neural network database, when it is determined that no existing neural network is present in the neural network database, generating new neural network configuration information corresponding to the part of the brain based on a brain information database, generating a new neural network by mapping the new neural network configuration information to neuromorphic hardware based on the new neural network configuration information, and storing the new neural network in the neural network database.

Machine learningPlanningAI hardwareG06N 3/063G06N 3/082G06N 3/02G06N 3/08

AI classification

AI hardware1.00
Machine learning1.00
Planning1.00
Natural language0.07
Evolutionary computation0.01
Vision0.01
Knowledge representation0.01
Speech0.00

Ownership

ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

assignment · 528670685

Assignors

KIM, YONG-JOO, KIM, TAE-HO, PAK, EUN-JI, HA, YOUNG-MOK

On an employer assignment, the assignors are typically the inventors.

From the same owner

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