Page 11: 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.

Software

Software supports safe, controlled detonations of aerial bombs

Time and again, unexploded aerial bombs from the Second World War need to be defused or detonated in controlled explosions. Researchers at the Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI are working ...

Machine learning & AI

AI tool helps researchers treat child epilepsy

An artificial intelligence tool that can detect tiny, hard-to-spot brain malformations in children with epilepsy could help patients access life-changing surgery quicker, Australian researchers said on Wednesday.

Engineering

Low-cost sensor system can check indoor air quality in real time

Humans spend about 80% of their time indoors, but keeping track of the air we breathe usually requires expensive lab-grade equipment. Researchers at Concordia and Qatar University have created a low-cost sensor system that ...

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