JavaScript Required

Jumpseat Aerospace News requires JavaScript to function. Please enable JavaScript in your browser settings to continue.

Physics-Based AI For Industrial Automation

May 14, 2026

2 min read

Key Takeaways

Industrial AI must be trained on physics, not prompts.
Prompt-based AI is limited in physical systems.
Physics-based AI adapts to variability without human intervention.

Silver membership required Upgrade to Silver to access Key Takeaways.

Upgrade

Strategic Implications

This shift towards physics-based AI may indicate a new era in industrial automation, where machines can reason and act deterministically, potentially increasing efficiency and reducing costs. The adoption of such technology could suggest a significant change in the way manufacturers approach automation, with a focus on reliability and adaptability.

Silver membership required Upgrade to Silver to access Strategic Implications.

Upgrade

What Happened

Why Industrial AI Must Understand Physical Laws

The use of AI in industrial automation is becoming increasingly important, but most current systems are limited by their reliance on prompts rather than physical laws. According to Massimiliano Moruzzi, CEO of Xaba.ai, this approach is insufficient for real-world production, where variability and unpredictability are common. Physics-based AI, on the other hand, can adapt to changing conditions and ensure reliable outcomes. This technology has the potential to revolutionize industrial automation, enabling machines to reason and act deterministically. The article was first reported by Robotics & Automation News.

Source

Companies Mentioned