<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet href="https://feeds.rssblue.com/future-of-computing/style?timestamp=1766049432" type="text/xsl"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:psc="http://podlove.org/simple-chapters">
  <channel>
    <description><![CDATA[<p>In this podcast, I explore the challenges we face as we start embracing new computing paradigms, like machine learning. I explore the problems with conventional computer hardware and investigate possible solutions...</p>
]]></description>
    <generator>RSS Blue v1.21.4</generator>
    <language>en</language>
    <lastBuildDate>Thu, 18 Dec 2025 09:17:12 GMT</lastBuildDate>
    <title>Future of Computing</title>
    <atom:link href="https://feeds.rssblue.com/future-of-computing" rel="self" type="application/rss+xml"></atom:link>
    <itunes:author>Dovydas</itunes:author>
    <itunes:category text="Technology"></itunes:category>
    <itunes:explicit>false</itunes:explicit>
    <itunes:image href="https://media.rssblue.com/podcasts/future-of-computing/cover-art.new-podcast-cover-art-72.png"></itunes:image>
    <itunes:owner>
      <itunes:name>Dovydas</itunes:name>
      <itunes:email>dovydas@yoshke.org</itunes:email>
    </itunes:owner>
    <itunes:type>episodic</itunes:type>
    <podcast:guid>78dc8d90-b3fe-5c02-9b21-5c5a7ab4239e</podcast:guid>
    <podcast:locked owner="dovydas@yoshke.org">yes</podcast:locked>
    <podcast:medium>podcast</podcast:medium>
    <podcast:podping usesPodping="true"></podcast:podping>
    <podcast:value type="lightning" method="keysend">
      <podcast:valueRecipient name="dovydas@fountain.fm" customKey="906608" customValue="01JQApCVLT3zebVcsZi6xP" type="node" address="03b6f613e88bd874177c28c6ad83b3baba43c4c656f56be1f8df84669556054b79" split="2450"></podcast:valueRecipient>
      <podcast:valueRecipient name="Podcastindex.org" type="node" address="03ae9f91a0cb8ff43840e3c322c4c61f019d8c1c3cea15a25cfc425ac605e61a4a" split="2303"></podcast:valueRecipient>
      <podcast:valueRecipient name="RSS Blue" type="node" address="02d256a6f93e3d4f95db0d9b3e85bc49f8c61a15b6e9c59e946d1b2806a87f6eb7" split="97"></podcast:valueRecipient>
    </podcast:value>
    <item>
      <description><![CDATA[<p>Since around 2016, machine learning has been an increasingly important part of the economy.
However, it has a hardware problem.
Modern computers are not well suited to the computations that one encounters in machine learning.
In this episode, I explore why this is the case.</p>
<p>Visit <a target="_blank" rel="noopener" href="https://yoshke.org">yoshke.org</a> for more information.</p>
]]></description>
      <enclosure url="https://op3.dev/e,pg=78dc8d90-b3fe-5c02-9b21-5c5a7ab4239e/media.rssblue.com/podcasts/future-of-computing/1-computers-are-not-ready-for-machine-learning/future-of-computing-1-computers-are-not-ready-for-machine-learning.mp3" length="9527296" type="audio/mpeg"></enclosure>
      <guid isPermaLink="false">1-computers-are-not-ready-for-machine-learning</guid>
      <pubDate>Wed, 01 Jun 2022 11:10:01 GMT</pubDate>
      <title>#1: Computers Are Not Ready for Machine Learning</title>
      <itunes:duration>782</itunes:duration>
      <itunes:episode>1</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:explicit>false</itunes:explicit>
      <itunes:image href="https://media.rssblue.com/podcasts/future-of-computing/1-computers-are-not-ready-for-machine-learning/cover-art-with-yet-another-filename.jpg"></itunes:image>
      <podcast:chapters url="https://rssblue.com/api/podcast/future-of-computing/episode/1-computers-are-not-ready-for-machine-learning/chapters.json?hash=f3b5a0edb1d6c8cbaa0fd5b0b53182f6" type="application/json+chapters"></podcast:chapters>
      <podcast:episode>1</podcast:episode>
      <podcast:value type="lightning" method="keysend">
        <podcast:valueRecipient name="Podcastindex.org" type="node" address="03ae9f91a0cb8ff43840e3c322c4c61f019d8c1c3cea15a25cfc425ac605e61a4a" split="1470"></podcast:valueRecipient>
        <podcast:valueRecipient name="Dovydas (testing Alby)" customKey="696969" customValue="4JKu621Pe89nNdP0G4ah" type="node" address="030a58b8653d32b99200a2334cfe913e51dc7d155aa0116c176657a4f1722677a3" split="49"></podcast:valueRecipient>
        <podcast:valueRecipient name="Dovydas (testing Fountain)" customKey="906608" customValue="01JQApCVLT3zebVcsZi6xP" type="node" address="03b6f613e88bd874177c28c6ad83b3baba43c4c656f56be1f8df84669556054b79" split="49"></podcast:valueRecipient>
        <podcast:valueRecipient name="RSS Blue" type="node" address="02d256a6f93e3d4f95db0d9b3e85bc49f8c61a15b6e9c59e946d1b2806a87f6eb7" split="32"></podcast:valueRecipient>
      </podcast:value>
      <psc:chapters version="1.1">
        <psc:chapter start="00:00" title="Introduction"></psc:chapter>
        <psc:chapter start="04:02" title="Hardware problem of machine learning"></psc:chapter>
        <psc:chapter start="04:50" title="Digital electronics"></psc:chapter>
        <psc:chapter start="08:57" title="Von Neumann architecture"></psc:chapter>
        <psc:chapter start="10:37" title="Summary"></psc:chapter>
        <psc:chapter start="11:05" title="Conclusion"></psc:chapter>
      </psc:chapters>
    </item>
  </channel>
</rss>