<?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-paulina-flores</title><link>https://pages.htgaa.org/2026a/paulina-flores/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Assignment Part 1: Intracellular Artificial Neural Networks (IANNs)
What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?
In-vivo Artificial Neural Networks provide an analog approach to computation within biological systems, enabling cells to process continuous inputs and generate a gradient and a non-binary output. IANNs can integrate multiple signals and capture more complex, non-linear relationships through distributed gene regulation. IANNs have the ability to capture patterns and complex inputs.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/paulina-flores/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>