Sensing Intelligence as a Trainable Metamaterial Property
In biological systems, sensing is not performed by the brain alone: the body deforms, vibrates, and filters external stimuli before they are transduced into neural signals. In engineered systems, this processing burden is placed largely on electronics and computation, while the mechanical body is usually designed only for strength and stability. Here, we present sensing intelligence as a trainable property of the body. We show that the geometry of a metamaterial can be optimized to reshape external stimuli into internal signals that are easier for a neural network to interpret. Rather than hand-designing this physical preprocessing, we let the neural network train its own body for sensing...
| Authors | Kyungmi Na, Yifei Li, Xinyi Yang et al. |
|---|---|
| Primary category | q-bio.NC |
| Published | 13 May 2026 |
| Last updated at source | 22 June 2026 |
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