<?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 II :: 2026a-casian-veselin</title><link>https://pages.htgaa.org/2026a/casian-veselin/homework/week-07-hw-genetic-circuits-ii/index.html</link><description>Week 7 Genetic circuits part II: Neuromorphic Circuits; Abstract: . Part 1) 1.	What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?
IANNs allow for designing circuits that can process multiple types of input signals at once to execute sophisticated, non-linear tasks (logic pathways); traditional genetic circuits operate on linear Boolean logic (yes/no, 0/1), and are inefficient for mapping complex goals or biological relationships. Furthermore, IANNs adapt and learn: (or at least have the potential for it) they enable the execution of complex decision boundaries by approximating any continuous function on a bounded domain.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/casian-veselin/homework/week-07-hw-genetic-circuits-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>