TED Talks Daily
How "digital twins" could help us predict the future | Karen Willcox
Sep 1, 2023
Discover the fascinating world of digital twins—virtual models that evolve with real-time data. Aerospace engineer Karen Willcox reveals their potential in personalized medicine, optimizing decision-making, and tackling engineering challenges. From wearables to climate studies, learn how these innovative systems can revolutionize our understanding and response to societal issues. This technology promises not just accuracy, but also the ability to predict future outcomes, reshaping various sectors including healthcare.
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Quick takeaways
- Digital twins combine personalized data and mathematical models to create dynamic simulations of physical systems in various domains.
- Creating digital twins for complex systems is challenging due to multiple scales, sparse data, and the need for predictive models.
Deep dives
The Power of Digital Twins
Digital twins are highly specific, data-driven simulations of existing systems that have the potential to tackle societal problems. They combine personalized data and powerful mathematical models to create dynamic and evolving models of physical systems. Digital twins have numerous applications, including optimizing aircraft maintenance and flight operations in the airline industry, monitoring and maintaining bridges and other infrastructure, increasing energy efficiency in buildings, and guiding medical assessment and personalized treatment. However, creating digital twins for complex systems is challenging due to the scales involved and the need for predictive physics-based models.
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