New research suggests that modern AI systems, especially large language models, cannot be understood in isolation but must be ...

A new technical paper, “Towards Structured Training and Validation of AI-based Systems with Digital Twin Scenarios,” was ...

In physical systems where errors carry tangible consequences, AI creates value through reliability and first-time-right performance.

Driven by several converging developments, the relationship between modelling and experimentation in complex systems has entered a new phase. The abundance ...

AI is reshuffling the entire value hierarchy in engineering, and the old rules about who matters and why no longer apply.

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.