Research news on AI-enabled digital twins

AI-enabled digital twins combine high-fidelity virtual replicas of physical assets with machine learning and sensing technologies to monitor condition, predict failures, and support operational decision-making. Applications span bridges, railways, nuclear reactors, wind turbines, manufacturing equipment, and urban infrastructure, integrating structural health monitoring, non-destructive evaluation, and high-resolution imaging. Data-driven models enable real-time fault diagnosis, risk-informed maintenance, and optimization of performance, often incorporating robotics, remote sensing, and time-series domain adaptation for robust, continuous infrastructure management.

Engineering

Supercharging the grid: How to free up 20% more power

Implementing effective monitoring measures could yield much more energy from the cable network—all without digging a single new trench. Just a dream scenario? No, it is entirely possible, say researchers.

Business

IBM says to boost open-source security with $5 bn project

American tech giant IBM and its IT services subsidiary Red Hat said Thursday that they would deploy billions of dollars and thousands of staff to secure open source software against new cybersecurity threats.

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