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      <title>State Space Models Can Enable AI in Low-Power Edge Computing</title>
      <link>https://www.infoq.com/news/2025/07/state-space-models-edge-compute/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=State+Space+Models-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2025/07/state-space-models-edge-compute/en/headerimage/state-space-model-low-power-1753257525965.jpeg"/&gt;&lt;p&gt;At the the 2025 Embedded Vision Summit, Tony Lewis, chief technology officer at BrainChip, presented research done by his company into state space models (SSMs) and how they can provide LLM capabilities with very low power consumption in limited computing environments, such as those found on dashcams, medical devices, security cameras, and even toys.&lt;/p&gt; &lt;i&gt;By Patrick Farry&lt;/i&gt;</description>
      <category>State Space Models</category>
      <category>Edge Computing</category>
      <category>Embedded Devices</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
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      <pubDate>Thu, 24 Jul 2025 14:00:00 GMT</pubDate>
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      <dc:creator>Patrick Farry</dc:creator>
      <dc:date>2025-07-24T14:00:00Z</dc:date>
      <dc:identifier>/news/2025/07/state-space-models-edge-compute/en</dc:identifier>
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