The New Software Standard for Physical AI

A new software standard for physical AI aims to accelerate development of real-time applications like autonomous object tracking by abstracting heterogeneous computing complexity into high-level libraries, reducing deployment time from months to days or hours.

Building real-time physical AI applications—such as high-performance, multimodal object tracking for autonomous systems within a constrained power envelope—is notoriously difficult. It requires coordinating specialized hardware, managing complex data flows, and optimizing every microsecond for maximum performance. This tech paper explores how agentic software environments can dramatically accelerate the development and deployment of physical AI applications. By abstracting the complexity of heterogeneous computing into structured, high-level libraries purpose built for physical AI, developers can transform AI models into production-ready applications in days/hours rather than months. To view this content, please fill out the form below. " " indicates required fields