<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Luke Vassallo</title><link>https://lukevassallo.com/</link><description>Recent content on Luke Vassallo</description><generator>Hugo</generator><language>en-GB</language><atom:link href="https://lukevassallo.com/index.xml" rel="self" type="application/rss+xml"/><item><title>Research</title><link>https://lukevassallo.com/research/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://lukevassallo.com/research/</guid><description>M.Sc – Application of Artificial Intelligence to Electronic Design Automation Many Electronic Design Automation (EDA) processes are known to be either NP-Complete or NP-Hard, meaning that optimal solutions can neither be found nor verified in polynomial time. Consequently, the goal becomes to find a good enough solution, which essentially divides the techniques into two categories based on how the objective function, gauging the performance of the result, is formulated.
First, if the objective function can be represented as a differentiable function, analytic techniques can be used to minimise the error gradient and quickly arrive at a solution.</description></item><item><title>Outreach</title><link>https://lukevassallo.com/outreach/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://lukevassallo.com/outreach/</guid><description>I’m always available for a chat about interesting and radical ideas, so feel free to send me an email. If you happen to be in the beautiful city of Heidelberg in Germany, I’d be thrilled to delve deeper into these topics over coffee or a beer.
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Have an idea worth exploring? Email is the best way to reach me about research, engineering, or a potential collaboration.
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