GoKawiilBlog post outlines method to embed boolean logic circuits into trained neural networks
A technical blog post describes an approach for attaching a 'sidecar' boolean circuit to an already-trained neural network. The author shows how AND, OR and NOT gates can be built as individual neurons using simple weighted sums and thresholds, then explains that connecting this circuit to a real network requires 'probes' that translate the network's real-valued activations into clean 0/1 signals and back again.