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TED Tech

How "digital twins" could help us predict the future | Karen Willcox

Nov 3, 2023
Aerospace engineer Karen Willcox explores the incredible possibilities of 'digital twins' across engineering, climate studies, and medicine. She discusses the use of digital twins to understand and improve complex systems, personalized predictions, engineering systems, applications in various fields, and the challenges in creating digital twins.
18:14

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Digital twins are virtual models that can predict how systems work and improve their design across various fields.
  • Combining personalized models and data assimilation allows digital twins to provide tailored predictions and recommendations for individuals.

Deep dives

The Potential of Digital Twins

Digital twins are virtual computer models of physical items that have the potential to predict how systems work and improve their design. They can be created for various objects, including cars, planes, buildings, forests, and landscapes. While digital twins are not yet functional for super-powered car chases, they can help us understand how things are built and make them better.

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