<?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-maria-ortiz</title><link>https://pages.htgaa.org/2026a/maria-ortiz/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?
Intracellular Artificial Neural Networks (IANNs) offer significant advantages over traditional genetic circuits that rely on Boolean logic. While Boolean circuits produce binary outputs (ON/OFF), IANNs can process continuous input signals and generate graded responses. This allows cells to integrate multiple inputs simultaneously and respond in a more flexible and nuanced way. Additionally, IANNs can assign different weights to inputs, enabling more complex decision-making processes compared to rigid Boolean logic gates. This makes them particularly useful in environments where signals are noisy or variable, as they can produce smoother and more adaptive outputs.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/maria-ortiz/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>