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    <title>topic Intel Releases Open Source AI Reference Kits in Intel® Optimized AI Frameworks</title>
    <link>https://community.intel.com/t5/Intel-Optimized-AI-Frameworks/Intel-Releases-Open-Source-AI-Reference-Kits/m-p/1430626#M405</link>
    <description>&lt;P&gt;&lt;SPAN&gt;Intel has released the first set of open source AI reference kits specifically designed to make AI more accessible to organizations in on-prem, cloud and edge environments.&amp;nbsp;&amp;nbsp;Intel’s AI reference kits, built in collaboration with Accenture, are designed to accelerate the adoption of AI across industries. They are open source, pre-built AI with meaningful enterprise contexts for both greenfield AI introduction and strategic changes to existing AI solutions.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Following kits are available for download :&lt;/SPAN&gt;&lt;/P&gt;
&lt;OL&gt;
&lt;LI&gt;&lt;SPAN&gt;&lt;A href="https://www.intel.com/content/www/us/en/developer/articles/reference-kit/predict-utility-asset-health.html" rel="nofollow" shape="rect" target="_blank"&gt;&lt;STRONG&gt;Utility asset health&lt;/STRONG&gt;&lt;/A&gt;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI&gt;&lt;SPAN&gt;&lt;A href="https://www.intel.com/content/www/us/en/developer/articles/reference-kit/visual-inspection-qc-for-life-sciences.html" rel="nofollow" shape="rect" target="_blank"&gt;&lt;STRONG&gt;Visual quality control&lt;/STRONG&gt;&lt;/A&gt;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI&gt;&lt;SPAN&gt;&lt;A href="https://www.intel.com/content/www/us/en/developer/articles/reference-kit/customer-care-chatbot.html" rel="nofollow" shape="rect" target="_blank"&gt;&lt;STRONG&gt;Customer chatbot&lt;/STRONG&gt;&lt;/A&gt;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI&gt;&lt;SPAN&gt;&lt;STRONG&gt;&lt;A href="https://www.intel.com/content/www/us/en/developer/articles/reference-kit/intelligent-indexing.html" rel="nofollow" shape="rect" target="_blank"&gt;Intelligent document indexing&lt;/A&gt;&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/OL&gt;
&lt;P&gt;Developers are looking to infuse AI into their solutions and the reference kits contribute to that goal. These kits build on and complement Intel’s AI software portfolio of end-to-end tools and framework optimizations. Built on the foundation of the&amp;nbsp;&lt;A href="https://www.oneapi.io/" rel="nofollow" shape="rect" target="_blank"&gt;oneAPI&lt;/A&gt;&amp;nbsp;open, standards-based, heterogeneous programming model, which delivers performance across multiple types of architectures, these tools help data scientists train models faster and at lower cost by overcoming the limitations of proprietary environments&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;More Details:-&lt;/P&gt;
&lt;P&gt;&lt;A href="https://bit.ly/3UITHAX" target="_blank"&gt;https://bit.ly/3UITHAX&lt;/A&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 16 Nov 2022 16:03:41 GMT</pubDate>
    <dc:creator>Anish_Intel</dc:creator>
    <dc:date>2022-11-16T16:03:41Z</dc:date>
    <item>
      <title>Intel Releases Open Source AI Reference Kits</title>
      <link>https://community.intel.com/t5/Intel-Optimized-AI-Frameworks/Intel-Releases-Open-Source-AI-Reference-Kits/m-p/1430626#M405</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Intel has released the first set of open source AI reference kits specifically designed to make AI more accessible to organizations in on-prem, cloud and edge environments.&amp;nbsp;&amp;nbsp;Intel’s AI reference kits, built in collaboration with Accenture, are designed to accelerate the adoption of AI across industries. They are open source, pre-built AI with meaningful enterprise contexts for both greenfield AI introduction and strategic changes to existing AI solutions.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Following kits are available for download :&lt;/SPAN&gt;&lt;/P&gt;
&lt;OL&gt;
&lt;LI&gt;&lt;SPAN&gt;&lt;A href="https://www.intel.com/content/www/us/en/developer/articles/reference-kit/predict-utility-asset-health.html" rel="nofollow" shape="rect" target="_blank"&gt;&lt;STRONG&gt;Utility asset health&lt;/STRONG&gt;&lt;/A&gt;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI&gt;&lt;SPAN&gt;&lt;A href="https://www.intel.com/content/www/us/en/developer/articles/reference-kit/visual-inspection-qc-for-life-sciences.html" rel="nofollow" shape="rect" target="_blank"&gt;&lt;STRONG&gt;Visual quality control&lt;/STRONG&gt;&lt;/A&gt;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI&gt;&lt;SPAN&gt;&lt;A href="https://www.intel.com/content/www/us/en/developer/articles/reference-kit/customer-care-chatbot.html" rel="nofollow" shape="rect" target="_blank"&gt;&lt;STRONG&gt;Customer chatbot&lt;/STRONG&gt;&lt;/A&gt;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI&gt;&lt;SPAN&gt;&lt;STRONG&gt;&lt;A href="https://www.intel.com/content/www/us/en/developer/articles/reference-kit/intelligent-indexing.html" rel="nofollow" shape="rect" target="_blank"&gt;Intelligent document indexing&lt;/A&gt;&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/OL&gt;
&lt;P&gt;Developers are looking to infuse AI into their solutions and the reference kits contribute to that goal. These kits build on and complement Intel’s AI software portfolio of end-to-end tools and framework optimizations. Built on the foundation of the&amp;nbsp;&lt;A href="https://www.oneapi.io/" rel="nofollow" shape="rect" target="_blank"&gt;oneAPI&lt;/A&gt;&amp;nbsp;open, standards-based, heterogeneous programming model, which delivers performance across multiple types of architectures, these tools help data scientists train models faster and at lower cost by overcoming the limitations of proprietary environments&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;More Details:-&lt;/P&gt;
&lt;P&gt;&lt;A href="https://bit.ly/3UITHAX" target="_blank"&gt;https://bit.ly/3UITHAX&lt;/A&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 16 Nov 2022 16:03:41 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Optimized-AI-Frameworks/Intel-Releases-Open-Source-AI-Reference-Kits/m-p/1430626#M405</guid>
      <dc:creator>Anish_Intel</dc:creator>
      <dc:date>2022-11-16T16:03:41Z</dc:date>
    </item>
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