<?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-tianyi-terry-luo</title><link>https://pages.htgaa.org/2026a/tianyi-terry-luo/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Assignment Part 1: Intracellular Artificial Neural Networks What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?
IANNs have an advantage over traditional Boolean genetic circuits because they can respond to graded, noisy biological signals instead of forcing every input into a simple ON/OFF state. This makes them better for tasks like classification, where a cell needs to weigh several signals together and make a more flexible decision, while Boolean circuits are better for simpler yes/no logic. 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.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/tianyi-terry-luo/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>