<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cuda on Maarten on IT</title><link>https://maarten.mulders.it/categories/cuda/</link><description>Recent content in Cuda on Maarten on IT</description><generator>Hugo</generator><language>en-us</language><copyright>&amp;copy; 2013 - 2026 Maarten Mulders</copyright><lastBuildDate>Mon, 27 Sep 2021 21:26:41 +0200</lastBuildDate><atom:link href="https://maarten.mulders.it/categories/cuda/index.xml" rel="self" type="application/rss+xml"/><item><title>Installing the CUDA Toolkit on Ubuntu</title><link>https://maarten.mulders.it/2017/07/installing-the-cuda-toolkit-on-ubuntu/</link><pubDate>Wed, 12 Jul 2017 07:55:32 +0200</pubDate><guid>https://maarten.mulders.it/2017/07/installing-the-cuda-toolkit-on-ubuntu/</guid><description>&lt;p&gt;Lately, my interest for machine learning and artificial intelligence has revived.
When I was at university, I followed some courses and specialisations in this field, but then during my career I hardly ever used any of it.
Back in those years, complex neural nets and genetic algorithms took days to build, mainly because we didn&amp;rsquo;t have the computing power for that.
But nowadays, things have changed, and such models can relatively quickly be built using a commodity graphics card.&lt;/p&gt;</description></item></channel></rss>