<?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 Circuit Part 2 :: 2026a-moola-mutondo</title><link>https://pages.htgaa.org/2026a/moola-mutondo/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Advantages of IANNs over Boolean genetic circuits Traditional genetic circuits (AND/OR/NOT) are great when the world can be cleanly thresholded into ON/OFF inputs and you only need discrete outputs. IANNs (genetic implementations of artificial neural networks) are useful when biology is messy—inputs are continuous, noisy, and correlated
Analog, not just digital
IANNs naturally support graded responses (continuous input → continuous output), not only Boolean truth tables. That lets you encode “how much” and “how confident,” not just “yes/no.”</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/moola-mutondo/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>