<?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-yutong-wu</title><link>https://pages.htgaa.org/2026a/yutong-wu/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Part 1. Intracellular Artificial Neural Networks Q1. Advantages of IANNs over Traditional Boolean Genetic Circuits A traditional genetic circuit works like a panel of on‑off light switches. Each gene is either fully expressed or completely silent, and the circuit’s output is a strict Boolean function of those binary inputs. An IANN, by contrast, behaves more like a set of dimmer switches connected through a mixing board. Each input can take any value within a continuous range, the connections have adjustable weights, and the final output is a smooth, graded signal instead of a hard 0 or 1.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/yutong-wu/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>