English(EN) Sensing Intelligence as a Trainable Metamaterial Property

新研究提出训练超材料体以增强人工智能感知

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-26 04:00

研究人员提出了“感知智能”的概念，认为超材料的物理结构可以被优化以预处理外部刺激。这种方法允许神经网络训练其自身的物理体，提高信号解释的效率。通过使用可微分模拟，优化身体的几何形状以减少感知损失，从而提高准确性高达五倍或显著减少对电子传感器的需求。 AI

影响这项研究可能通过将部分信号处理卸载到设备的物理结构上，从而减少计算负载，从而实现更高效的人工智能系统。

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arXiv cs.AI TIER_1 English(EN) · Kyungmi Na, Yifei Li, Xinyi Yang, Bolei Deng · 2026-05-26 04:00

将感知智能视为可训练的超材料属性

arXiv:2605.23967v1 Announce Type: cross Abstract: 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 l…