https://pages.htgaa.org/2026a/iman-karibzhanova/homework/week-07-hw-genetic-circuits-part-ii/index.htmlAssignment Part 1: Intracellular Artificial Neural Networks (IANNs) What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? IANNs (Intracellular Artificial Neural Networks) have several advantages over traditional genetic circuits. Booleans inherently work in a binary fashion: there is either a statement ment that makes it true/false, and therefore, either on/off. IANNs have the ability to process continuous signals, allowing for inputs to be weighted against each other before an output. This makes the system more sensitive to differences, not just whether something is true or false. This is great for cells as molecular concentrations exist on a spectrum. Another reason is its reconfigurability: you can reprogram the IANN circuit without needling to completely rebuild it. IANNs also make multi-input easier to configure, as an arbitrary number of inputs can be collapsed into one step, instead of building onto each other in booleans. Lastly, boolean circuits are static, with inherently fixed behaviour after it is built. IANNs are defined by weights, allowing for greater flexibility if you were to modify the weight thresholds.Hugoen