Page 18: 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.

Consumer & Gadgets

Transforming aircraft maintenance with augmented reality

In the dynamic world of aviation maintenance, precision, quickness, and meticulous documentation are essential. Maribeth Gandy Coleman, director of research and a Regents' Researcher in Georgia Tech's Institute for People ...

Engineering

Embedded smart trackers boost security for radioactive shipments

Every day, cancer patients visit medical facilities for treatments to lessen or alleviate the destructive illness. Treatments often include radioisotopes and other radioactive materials that target and destroy cancer cells ...

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