<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Week 07 HW: Genetic Circuit Part 2 :: 2026a-scarlett-kelly</title><link>https://pages.htgaa.org/2026a/scarlett-kelly/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Part 1: Intracellular Artificial Neural Networks (IANNs)
What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? The advantages include nonlinear and adaptive processing, instead of on/off states.
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. I will use the application I proposed in the Week 1 homework, soil microbes to optimize nitrogen release in crops in cold climates.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/scarlett-kelly/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>