While the promise of AI-driven R&D is clear, its real value emerges when these technologies are applied to complex, real-world challenges. This session takes a broad application perspective on how Physics AI is creating new opportunities for industrial innovation across sectors.

By combining simulation models, experimental data, and operational insights, companies can develop digital representations to form digital twins that enable faster design, better predictions, and more informed decision-making.

From developing new materials and optimizing energy systems to improving medical treatments and infrastructure resilience, Physics AI offers organizations an opportunity to reduce uncertainty, accelerate development, and explore new solutions and investment opportunities with greater confidence.

The session highlights both the potential and the practical considerations, including data integration, model trust, and organizational readiness, when bringing Physics AI into R&D and innovation workflows.

Key takeaway: Physics AI is moving from the lab into industry, creating opportunities for companies to innovate faster, reduce risk, and translate scientific insight into real-world impact at scale.

This session is part of DTU's Industrial AI Program: From Artificial Intelligence to Industrial Intelligence at Digital Tech Summit 2026. Through a series of connected sessions, DTU brings together leading research and industry perspectives to explore how AI is reshaping products, processes, and operations across the industrial landscape.

Partners: DMI

Partners (the overall Industrial AI program): AI Denmark and AI Boost