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Why Deploying Physical AI at Scale Demands Safety at Every Layer

Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared with people, […]

Why Deploying Physical AI at Scale Demands Safety at Every Layer

As physical AI moves from lab to widespread use, ensuring safety at every level becomes crucial. By 2035, there will be an estimated 49 million level 3-5 autonomous vehicles and 60 million industrial robots operating alongside people in various environments. The safety of AI-driven machines, whether autonomous vehicles or industrial robots, must be demonstrated consistently throughout their lifecycle, not just before deployment.

This demand for comprehensive safety stems from the complex hardware, software, AI systems, operating environments and deployment processes involved in physical AI.

Written by urgent.news from NVIDIA Blog's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at blogs.nvidia.com →

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