Safe, Secure, Intelligent: The Missing Formula for Deploying Physical AI | Intel Business

Опубликовано 22 мая 2026, 16:37

Deploying AI in a robot, a surgical system, or an autonomous vehicle isn't just an engineering challenge, it's a safety and security challenge. And most platforms weren't built with all three in mind at the same time.

Filmed at Embedded World 2026, Intel sits down with Winston Leung, from QNX to explore what it actually takes to deploy physical AI in environments where failure is not an option. The conversation cuts through the hype to address the hard questions: How do you run real-time control and AI inferencing on the same platform without compromise? What does a truly hardened edge environment look like? And why are some of the most demanding industries in the world : automotive, robotics, and medical converging on a single architectural answer?

If you're building or buying physical AI systems, this is the conversation that will sharpen your thinking.
The discussion closes on the power of openness, with QNX's's support for ROS 2, ONNX, PyTorch, TensorFlow Lite, and Intel's OpenVINO providing the hardware abstraction layer that allows AI models to run seamlessly across CPU and GPU. For any manufacturer looking to bring physical AI solutions to market faster without compromising on safety, security, or performance this conversation is a must-watch.

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Safe, Secure, Intelligent: The Missing Formula for Deploying Physical AI | Intel Business
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