Building Digital Twins for Trees Using NLA
cephaloform · x · 2026-07-13
The author points out a surprising gap in research: rarely is NLA applied to encoded sensor readings to build digital twins for real-world dynamic systems, like a tree.
They further propose that during the initial data generation phase, images and videos collected by the system could be fed into the model alongside sensor data to help it better align with reality. Additionally, the model could be prompted to write from the "perspective of the system," since the system itself is unaware of all the training data held by the researchers.
Related event: Exploring NLA for Digital Twins of Real-World Dynamic Systems(2 posts)→
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