SYSTEM AND METHOD FOR IMPLEMENTING NEURAL NETWORKS IN INTEGRATED CIRCUITS

Patent №

US 11,615,300

Granted

2023-03-28

Filed 2018

Owner

XILINX, INC.

Lab

AI components

4

ml · vision · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16007884

A neural network system includes an input layer, one or more hidden layers, and an output layer. A first layer circuit implements a first layer of the one or more hidden layers. The first layer includes a first weight space including one or more subgroups. A forward path circuit of the first layer circuit includes a multiply and accumulate circuit to receive an input from a layer preceding the first layer; and provide a first subgroup weighted sum using the input and a first plurality weights associated with a first subgroup. A scaling coefficient circuit provides a first scaling coefficient associated with the first subgroup, and applies the first scaling coefficient to the first subgroup weighted sum to generate a first subgroup scaled weighted sum. An activation circuit generates an activation based on the first subgroup scaled weighted sum and provide the activation to a layer following the first layer.

Machine learningVisionEvolutionary computationAI hardwareG06N 3/0464G06N 3/08G06N 3/04G06N 3/048G06N 3/0495G06N 3/084G06N 3/063

AI classification

Machine learning1.00
AI hardware1.00
Evolutionary computation0.94
Vision0.83
Knowledge representation0.04
Speech0.00
Natural language0.00
Planning0.00

Ownership

XILINX, INC.

assignment · 463550930

Assignors

FARAONE, JULIAN, BLOTT, MICHAELA, FRASER, NICHOLAS

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

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