NEURAL NETWORK APPARATUS

Patent №

US 11,620,501

Granted

2023-04-04

Filed 2019

Owner

KABUSHIKI KAISHA TOSHIBA

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16564344

According to an embodiment, a neural network apparatus includes cores, routers, a tree path, and a short-cut path. The cores are provided according to leaves in a tree structure, each core serving as a circuit that performs calculation or processing for part of elements of the neural network. The routers are provided according to nodes other than the leaves in the tree structure. The tree path connects the cores and the routers such that data is transferred along the tree structure. The short-cut path connects part of the routers such that data is transferred on a route differing from the tree path. The routers transmit data output from each core to any of the cores serving as a transmission destination on one of routes in the tree path and the short-cut path such that the calculation or the processing is performed according to a structure of the neural network.

Machine learningAI hardwareG06N 3/063G06F 16/9027G06N 3/04G06N 3/045G06N 3/0499G06N 3/09

AI classification

AI hardware0.99
Machine learning0.96
Vision0.02
Knowledge representation0.00
Evolutionary computation0.00
Planning0.00
Speech0.00
Natural language0.00

Ownership

KABUSHIKI KAISHA TOSHIBA

assignment · 504990012

Assignors

NOMURA, KUMIKO, MARUKAME, TAKAO, NISHI, YOSHIFUMI

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

From the same owner

© 2026 NYSGPT2525 LLC