https://pages.htgaa.org/2026a/aarushi-mishra/homework/week-07-hw-genetic-circuits-part-ii/index.htmlAssignment Part 1: Intracellular Artificial Neural Networks (IANNs) Q1. Advantages of IANNs over traditional Boolean genetic circuits Traditional genetic circuits are limited to discrete ON/OFF outputs — they can only compute simple logic like AND, OR, NOT. IANNs go beyond this by processing continuous, graded inputs and computing weighted sums across multiple signals simultaneously, just like neurons. This means a single cell can integrate many environmental signals at once and produce nuanced, analog responses rather than just a binary switch. IANNs can also be trained — their weights (gene expression levels) can be tuned to classify complex input patterns. This makes them far more powerful for tasks like disease detection inside a cell, where multiple biomarkers need to be weighed together rather than evaluated individually.Hugoen