{
  "version": "1.0",
  "type": "rich",
  "title": "Moving Past Moore's Law: In-Memory Compute Architecture and Modular Chiplets for Edge Robotics",
  "author_name": "Sebastien Rousseau",
  "author_url": "https://sebastienrousseau.com/about/",
  "provider_name": "Sebastien Rousseau",
  "provider_url": "https://sebastienrousseau.com/",
  "thumbnail_url": "https://cloudcdn.pro/stocks/images/taner-ozcelik-mythic-ai-economist-physical-ai-summit-2026.webp",
  "thumbnail_width": 1200,
  "thumbnail_height": 630,
  "html": "<blockquote class=\"oembed-card\"><p><a href=\"https://sebastienrousseau.com/2026-10-13-moving-past-moores-law-in-memory-compute-edge-robotics/\">Moving Past Moore's Law: In-Memory Compute Architecture and Modular Chiplets for Edge Robotics</a></p><p>Physical AI cannot scale on 700W data-centre GPUs. At the Economist Enterprise Physical AI and Robotics Summit, Mythic AI Chairman and CEO Taner Ozcelik demonstrated how in-memory compute and chiplet modularity collapse the Von Neumann memory wall to deliver biological-grade efficiency at the physical edge.</p><p><cite>Sebastien Rousseau — sebastienrousseau.com</cite></p></blockquote>",
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