https://pages.htgaa.org/2026a/anushka-shinde/homework/week-07-genetic-circuits-part-2/index.htmlPart1: Intracellular Artificial Neural Networks What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? Traditional genetic circuits treat inputs as binary. This works for simple logic but breaks down when you need nuanced, graded decisions based on multiple continuous signals. Biology itself is almost never binary; cells exist on spectrums of gene expression and signalling intensity. IANNs overcome this by operating in the analog domain. An IANN computes a weighted sum of all inputs and applies a nonlinear activation function, exactly like an artificial neuron. The same molecular parts can be reused to implement completely different decision boundaries just by changing the weights, without engineering new biological parts from scratch. IANNs can also be stacked into multiple layers, enabling hierarchical computation that is completely impossible with single-layer Boolean circuits.Hugoen