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Digital Twins

A digital twin is a virtual replica of a physical system, process, or product, continuously updated with real-time data from sensors. This AI-powered simulation allows scientists to monitor, analyze, and predict the behavior of complex real-world entities without direct interaction. By running simulations and testing hypotheses on the digital twin, researchers can gain insights and optimize performance before implementing changes in the physical world.

In plain terms

Imagine having a perfectly accurate, constantly updated 3D model of a complex living cell that you can experiment on virtually, without disturbing the actual cell.

Why it matters

Digital twins enable scientists to conduct risk-free experimentation, optimize costly processes like drug manufacturing or astrophysical observations, and predict failures in critical infrastructure or biological systems with unprecedented accuracy.

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