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Embodied intelligence in biosensors: From biological inspiration to AI integration

delete2026-07-27
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PRE
AI
L
Liujing Zhuang *
万
万浩 (Hao Wan) *
L
Liubing Kong *
B
Bingqian Yu
X
Xiandi Wang
J
Jianguo Wu
Y
Yingying Xue
C
Changming Chen
M
Mengxue Liu
N
Nan Jiang
D
Deming Jiang
H
Hongyang Guo
X
Xiangyu Ye
Q
Qin Yang
F
Fan Wu
K
K. Jimmy Hsia
王
王平 (Ping Wang) *
DOI：10.1016/j.matt.2026.102941delete
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Abstract

Abstract

En 中文
Biosensing has advanced significantly, driven by nanotechnology and the integration of artificial intelligence (AI). This convergence is facilitating the emergence of embodied intelligence (EI) systems, which transcend mere data acquisition to develop machines with enhanced perception and adaptability. Notable progress includes the development of bioinspired sensory architectures mimicking biological senses and the implementation of neuromorphic computing through spiking neural networks (SNNs). These methods enable highly efficient, event-based processing, significantly minimizing power consumption and latency, which are crucial for next-generation robotics and IoT devices. Additionally, the emerging frontier of organoid-driven EI is integrating functional biological sensory organoids with micro-nano interfaces and AI. This biohybrid approach enables sophisticated cellular-level neural processing, thereby extending the limits of sensory integration.

Journal

Matter cover
Matter
IF:
17.5
Papers:
2.5K
Citations:
1.8W

Organization

N
Nanyang Technological University
Scholars:
4.8W
Papers: 4.7W
Citations: 8.1W
Z
zhejiang university
Scholars:
17.0W
Papers: 11.9W
Citations: 152
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