<?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 II :: 2026a-deep-dalvi</title><link>https://pages.htgaa.org/2026a/deep-dalvi/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?
Traditional genetic circuits are boolean, like the question says. Therefore, they can be either ‘on’ or ‘off’ and only can compute boolean functions. Limiting the cell’s computational ability. IANNs are different in the way that they produce continuos signals, they can take in multiple inputs. I think the benefits of IANNs over conventional genetic circuits are synonymous to the benefits of a neural network over a hard-coded solution. IANNs can react to novel inputs whereas the conv. genetic circuits can only respond to the input they were designed for. 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.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/deep-dalvi/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>