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    <loc>https://www.auto-ecology.com/blogs/deploying-on-the-edge-bringing-ai-out-of-the-clouds-and-back-down-to-earth</loc>
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      <image:title>Blogs - Deploying on the Edge: Bringing “AI” out of the clouds and back down to Earth - Make it stand out</image:title>
      <image:caption>Just a few more data centers and we’ll be set….</image:caption>
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      <image:title>Blogs - Deploying on the Edge: Bringing “AI” out of the clouds and back down to Earth - Make it stand out</image:title>
      <image:caption>Definitely not a Red Deer…</image:caption>
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    <image:image>
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      <image:title>Blogs - Deploying on the Edge: Bringing “AI” out of the clouds and back down to Earth - Make it stand out</image:title>
      <image:caption>A Nvidia GEFORCE GPU. The colorful lights make it even faster…</image:caption>
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      <image:title>Blogs - Deploying on the Edge: Bringing “AI” out of the clouds and back down to Earth - Make it stand out</image:title>
      <image:caption>The Hailo 8 AI accelerator module</image:caption>
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      <image:title>Blogs - Deploying on the Edge: Bringing “AI” out of the clouds and back down to Earth - Make it stand out</image:title>
      <image:caption>Our self-contained “AutoEcology” Edge Compute device running a DNN-based Object Detection model to detect and identify animal species.</image:caption>
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      <image:title>Blogs - Deploying on the Edge: Bringing “AI” out of the clouds and back down to Earth - Make it stand out</image:title>
      <image:caption>A MOE model routing/gating the input to only part of the model.</image:caption>
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      <image:title>Blogs - Deploying on the Edge: Bringing “AI” out of the clouds and back down to Earth - Make it stand out</image:title>
      <image:caption>Deploying a DNN on an edge-compute device</image:caption>
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    <loc>https://www.auto-ecology.com/blogs/Blog Post Title One-txajd</loc>
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    <lastmod>2025-08-14</lastmod>
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      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning. - Make it stand out</image:title>
      <image:caption>This is now an “AI” free zone.</image:caption>
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    <image:image>
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      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning. - Make it stand out</image:title>
      <image:caption>Can YOU see where this algorithm goes wrong?</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/6767a8ab1279321b70138597/47b3cc05-1475-45cc-9b55-699e1a3a4c44/theater-432045_1280.jpg</image:loc>
      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning. - Make it stand out</image:title>
      <image:caption>The equation is right behind here, trust me.</image:caption>
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    <image:image>
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      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning. - Make it stand out</image:title>
      <image:caption>With equations like these, we don’t need ML…</image:caption>
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    <image:image>
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      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning. - Make it stand out</image:title>
      <image:caption>A simple line of best fit with parameters 3.9651 and - 1.5698</image:caption>
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    <image:image>
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      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning. - Make it stand out</image:title>
      <image:caption>Realistic depiction of Deep Learning.</image:caption>
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    <image:image>
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      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning. - Make it stand out</image:title>
      <image:caption>Look at all that data…</image:caption>
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    <image:image>
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      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning. - Make it stand out</image:title>
      <image:caption>Looks like a Wolf to me!</image:caption>
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    <image:image>
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      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning. - Make it stand out</image:title>
      <image:caption>Rows and rows of data…</image:caption>
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    <image:image>
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      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning. - Make it stand out</image:title>
      <image:caption>Kitty goes in, numbers come out</image:caption>
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    <image:image>
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      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning. - Make it stand out</image:title>
      <image:caption>But what is “cat“?</image:caption>
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      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning. - Make it stand out</image:title>
      <image:caption>Some similarities, some differences, but what is important??</image:caption>
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      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning.</image:title>
      <image:caption>A toaster, here drawn with the features of a cat.</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/6767a8ab1279321b70138597/31acaf62-411a-4792-b135-116eb9cfb5dc/llm.JPG</image:loc>
      <image:title>Blogs - Why AI? What we get wrong when discussing modern Deep Learning. - Make it stand out</image:title>
      <image:caption>But both responses are valid, the second model was just not trained on the information required to answer the question…</image:caption>
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