CPC G06N 3/065 (2023.01) [G06F 17/18 (2013.01); G06N 3/08 (2013.01); G06N 3/105 (2013.01); G06N 5/046 (2013.01)] | 16 Claims |
1. A neuromorphic integrated circuit, comprising: a multi-layered analog-digital hybrid neural network comprising a plurality of analog layers configured to include synaptic weights between neural nodes of the neural network for decision making by the neural network; wherein a positively weighted product may be stored in a first column of an analog multiplier array, and a negatively weighted product can be stored in a second column of the analog multiplier array; and at least one digital layer; wherein the digital layer is configured for programmatically compensating for weight drifts of the synaptic weights of the neural network, thereby maintaining integrity of the decision making by the neural network; and wherein the plurality of analog layers is disposed between a plurality of data inputs and the digital layer, and wherein the digital layer is disposed between the plurality of analog layers and a plurality of data outputs, wherein the positively and negatively weighted products can be taken as a differential current value.
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