<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Week 7 HW: Genetic Circuits Part II :: 2026a-keerthana-gunaretnam</title><link>https://pages.htgaa.org/2026a/keerthana-gunaretnam/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Assignment Part 1: Intracellular Artificial Neural Networks (IANNs) 1. What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? Incoherent Analog Neural Networks (IANNs) represent a significant conceptual leap beyond traditional Boolean genetic circuits. Where Boolean circuits reduce biological signals to binary on/off states, IANNs exploit the full continuous, graded nature of molecular concentrations and reaction kinetics, enabling a far richer computational repertoire within living cells. Here is a structured academic overview of their key advantages.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/keerthana-gunaretnam/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>