Ai Hardware is a topic tracked in our intelligence system with 5 linked articles.
An EE Times piece argues that deployable physical AI (robotics) depends on system architecture balancing compute, power, safety, and cost rather than raw model scale.
Robotics startup Eka has reportedly hit a $1.45B valuation on the strength of a physical AI model that lets its robotic arm grasp a wide range of objects, but the piece offers no deal detail, sourcing, or analysis.
A seven-year NVIDIA robotics-platform veteran turned investor argues robotics is in a 'Lego era' — with actuators, robotic hands, software, and safety standards still being assembled — pushing back on the thesis that general foundation models are about to give robotics a ChatGPT-style breakthrough moment.
An EE Times teaser recapping an iTechCon 2026 panel on how Taiwan can leverage its semiconductor, advanced packaging, and system-design strengths to capture more value as AI shifts to system-level co-design — a strategically core topic for the audience, but the provided content delivers no data, names, or analysis.
VCs spotlight 19 European startups aimed at making AI compute more efficient amid rising demand, but the excerpt lacks concrete company names and measurable financial data.
Apple's Mini/Studio updates and OpenAI's Jalapeño hardware move are framed as contributing to Nvidia pressure in AI compute.
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