<?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 2 :: 2026a-charles-naney</title><link>https://pages.htgaa.org/2026a/charles-naney/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>[]Homework — DUE BY START OF MAR 31 LECTURE at 2PM ET
Week 7 HW: Genetic Circuits Part 2 Assignment Part 1: Intracellular Artificial Neural Networks (IANNs) What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? IANNs are ideal for the continuous transcriptomic-driven change observed in cells that are constantly moving and communicating in their intracellular environment – through analog computations. In contrast, much of the early synbio genetic circuit engineering was digital, with discrete logic gate switch programming or perhaps even through gene knock out (present versus absent) if such a connection would be permitted.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/charles-naney/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>