Even with simulation, critical failure modes like resonance-induced fatigue and connection looseness can emerge during ...

When AI can act, quality is no longer a model metric. It becomes operational risk, regulatory exposure, and brand risk. That is why testing autonomous AI is no longer just an engineering concern—it is ...

At CES 2026, dSPACE will present a comprehensive validation portfolio with AI-supported software-in-the-loop and hardware-in-the-loop solutions for accelerated SDV development. AI is a strategic ...

Power Hardware-in-the-Loop (PHIL) simulation and testing is a cutting-edge methodology that integrates actual power system components with high-fidelity computational models. This approach creates a ...

The PAN AI world model developed at the Mohamed bin Zayed University of Artificial Intelligence in Abu Dhabi can simulate a wide range of real-world conditions for training autonomous systems, ...

AI can help design AI systems: automating architecture choices, discovering algorithms, and optimizing hardware ...