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      <title>New Stanford Compute-In-Memory Chip Promises to Bring Efficient AI to Low-Power Devices</title>
      <link>https://www.infoq.com/news/2022/08/stanford-neurram-chip-edge/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Smart+home</link>
      <description>&lt;img src="https://res.infoq.com/news/2022/08/stanford-neurram-chip-edge/en/headerimage/stanford-neurram-chip-1661114263187.jpeg"/&gt;&lt;p&gt;In a paper recently published in Nature, Stanford researchers presented a new compute-in-memory (CIM) chip using resistive random-access memory (RRAM) that promises to bring energy efficient AI capabilities to edge devices.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Edge Computing</category>
      <category>Internet Of Things</category>
      <category>Artificial Intelligence</category>
      <category>Embedded Devices</category>
      <category>Smart home</category>
      <category>Edge</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Sun, 21 Aug 2022 21:00:00 GMT</pubDate>
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      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2022-08-21T21:00:00Z</dc:date>
      <dc:identifier>/news/2022/08/stanford-neurram-chip-edge/en</dc:identifier>
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