https://pages.htgaa.org/2026a/ade-larsen/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? Analog Processing: IANNs process continuous, multi-level inputs to produce graded, proportional responses, rather than being restricted to rigid binary (ON/OFF) states. Complex Integration: A single IANN layer can compute complex, non-linear functions by tuning biological “weights” (like promoter strength), whereas Boolean logic requires fragile, metabolically expensive cascades of multiple gates to achieve the same complexity. Robustness: Because they use graded signals and distributed pathways, IANNs are more resistant to biological noise and mutation, showing gradual performance decline (graceful degradation) instead of catastrophic failure. Describe a useful application for an IANN; include a detailed description of input/output behavior, as well as any limitations an IANN might face to achieve your goal. A potential application could be an environmental risk biosensor that measures the combined threat of multiple water pollutants (e.g., arsenic and pesticides) and outputs a color-coded, continuous risk scale.Hugoen