https://pages.htgaa.org/2026a/rahul-yaji/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? They can interpret a range of inputs as opposed to the 0, 1 inputs of traditional genetic circuits. This allows them to aggregate multiple signals and apply the activation fucntion to filter biological noise. Traditional circuits often require a cascade of genetic logic gates, which lead to metabolic burden and competition for substrates. By utilizing weighted interactions, IANNs can accomplish the same task using fewer biolocial components. Nonlinear descision making is a struggle for tradional genetic circuits. They struggle to take into accout the relative ratios and thresholds of a multitude of proteins simultaneously, limiting themselves to simple linear logics. However, using ReLU and sigmoid -like activation behaviours, IANNs can perform complex tasks. Eg: A cell may be engineered to apoptosize only when a commplex profile of cancer markers are met, as oppossed to the presence of some of those markers that may not be cancerous. 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 useful applicaiton of IANN would be rapid plant cell response when it is infected by a pathogen.Hugoen