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A Raising 2D Piezo‐Ferro‐Opto‐Electronic Semiconductor for Brain‐Inspired Multimodal Perception and Computation

Decai Ouyang, Mengqi Wang, Yue Yuan, Na Zhang, Yan Zhou, Jianing Fu, Mario Lanza, Yuan Li, Tianyou Zhai

Year
2025
Citations
1
Access
Open access

Abstract

ABSTRACT Multimodal perception, pivotal for artificial intelligence (AI) systems demanding real‐time decision‐making and environmental adaptability, might be significantly improved through two‐dimensional (2D) piezo‐ferro‐opto‐electronic (PFOE) semiconductors, like, NbOX 2 (X = Cl, Br, I). Such improvement may enable in‐sensor fusion of sense organ signals (e.g., vision, audition, gustation, and olfaction) within a single functional component, overcoming limitations of conventional discrete sensor architectures. Such function cohesion, combined with their recently uncovered properties, not only provides a robust foundation for expanding sensory modalities and developing novel mechanisms to establish an all‐in‐one multimodal perception platform, but also paves the way for multisensory‐integrated artificial systems beyond human sensory systems. This single‐component system employing such PFOE semiconductors substantially mitigates intermodule communication latency while boosting integration density of information, thereby circumventing persistent inefficiencies in AI hardware architectures for real‐time applications, such as embodied robotics and immersive human–machine interfaces. This fusion of multimodal perception and computation, enabled by multiphysics coupling of 2D NbOX 2 , drives AI systems toward biological‐grade efficiency while maintaining environmental adaptability, representing a critical leap toward autonomous intelligence operating in dynamic real‐world settings.

Keywords

PerceptionBoosting (machine learning)RoboticsComputationModalitiesSensor fusionSoftwareRobustness (evolution)Exploit

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