Invention Grant
- Patent Title: Artificial neural networks
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Application No.: US17990424Application Date: 2022-11-18
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Publication No.: US11803742B2Publication Date: 2023-10-31
- Inventor: John Paul Lesso
- Applicant: Cirrus Logic International Semiconductor Ltd.
- Applicant Address: GB Edinburgh
- Assignee: Cirrus Logic Inc.
- Current Assignee: Cirrus Logic Inc.
- Current Assignee Address: US TX Austin
- Agency: Jackson Walker L.L.P
- Main IPC: G06N3/065
- IPC: G06N3/065 ; G06F17/16 ; G06F7/523 ; G06F7/544 ; G06N3/048

Abstract:
The present disclosure relates to a neuron for an artificial neural network. The neuron includes: a first dot product engine operative to: receive a first set of weights; receive a set of inputs; and calculate the dot product of the set of inputs and the first set of weights to generate a first dot product engine output. The neuron further includes a second dot product engine operative to: receive a second set of weights; receive an input based on the first dot product engine output; and generate a second dot product engine output based on the product of the first dot product engine output and a weight of the second set of weights. The neuron further includes an activation function module arranged to generate a neuron output based on the second dot product engine output. The first dot product engine and the second dot product engine are structurally or functionally different.
Public/Granted literature
- US20230112556A1 ARTIFICIAL NEURAL NETWORKS Public/Granted day:2023-04-13
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