Patent US 11,675,507

Patent №

US 11,675,507

Granted

Owner

Lab

AI components

2

ml · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

17394447

A method of allocating a memory for driving a neural network including obtaining first capacity information of a space to store an input feature map of a first layer from among the layers of the neural network, and second capacity information of a space to store an output feature map of the first layer, and allocating a first storage space to store the input feature map in the memory based on an initial address value of the memory and the first capacity information and a second storage space to store the output feature map in the memory based on a last address value of the memory and the second capacity information.

Machine learningAI hardwareG06F 3/0631G06N 5/046G06F 3/0604G06F 3/0673G06N 3/04G06N 3/0442G06N 3/0464G06N 3/063

AI classification

AI hardware1.00
Machine learning0.94
Knowledge representation0.04
Vision0.01
Natural language0.01
Planning0.00
Speech0.00
Evolutionary computation0.00
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