<?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: Neuromorphic Circuits :: 2026a-xavier-lewis-palmer</title><link>https://pages.htgaa.org/2026a/xavier-lewis-palmer/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Part 1:
What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?
IANNs are great for analog computation, while also being scalable in deployment and useful for approximating functions.
Describe a useful application for an IANN; include a detailed description of input/output behavior, as well as any limitations an IANN might face to achieve your goal.
Disease diagnostics. Inputs would be expressions levels of biomarkers and signals deemed harmful. Outputs could be in the form of a gene with a strong signal or that is therapetic in nature. Strong limitations could come from unintended interactions with the output, as well as cross-talk generated. Noise within the biological system could affected outputs as well.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/xavier-lewis-palmer/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>