<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="https://www.nitrc.org/themes/nitrc3.0/css/rss.xsl.php?feed=https://www.nitrc.org/export/rss20_forum.php?forum_id=3396" ?>
<?xml-stylesheet type="text/css" href="https://www.nitrc.org/themes/nitrc3.0/css/rss.css" ?>
<rss version="2.0"> <channel>
  <title>NITRC News Group Forum: low-power-chips-to-model-a-billion-neurons</title>
  <link>http://www.nitrc.org/forum/forum.php?forum_id=3396</link>
  <description>&lt;img src=&quot;http://www.incf.org/newsroom/highlights/low-power-chips-to-model-a-billion-neurons/image&quot; alt=&quot;Low-Power Chips to Model a Billion Neurons&quot; title=&quot;Low-Power Chips to Model a Billion Neurons&quot; height=&quot;128&quot; width=&quot;128&quot; /&gt;&lt;p&gt;At IEEE Spectrum, Steve Furber explains how a chip, a miniature, massively parallel computer, powered by a million ARM processors, could produce the best brain simulations yet, and help medical research.&lt;/p&gt;</description>
  <language>en-us</language>
  <copyright>Copyright 2000-2026 NITRC OSI</copyright>
  <webMaster></webMaster>
  <lastBuildDate>Wed, 15 Apr 2026 18:46:08 GMT</lastBuildDate>
  <docs>http://blogs.law.harvard.edu/tech/rss</docs>
  <generator>NITRC RSS generator</generator>
 </channel>
</rss>
