<?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-veronika-prizova</title><link>https://pages.htgaa.org/2026a/veronika-prizova/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?
Intracellular Artificial Neural Networks (IANNs) provide several important advantages over traditional genetic circuits that operate using Boolean logic gates such as AND, OR, and NOT. Traditional genetic circuits typically generate binary outputs, where genes are either “ON” or “OFF.” In contrast, IANNs can process information in a continuous and weighted manner, similar to artificial neural networks used in computational machine learning.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/veronika-prizova/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>