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

IF 24.5 Q1 CHEMISTRY, PHYSICAL
Decai Ouyang, Mengqi Wang, Yue Yuan, Na Zhang, Yan Zhou, Jianshu Fu, Mario Lanza, Yuan Li, Tianyou Zhai
{"title":"A Raising 2D Piezo-Ferro-Opto-Electronic Semiconductor for Brain-Inspired Multimodal Perception and Computation","authors":"Decai Ouyang,&nbsp;Mengqi Wang,&nbsp;Yue Yuan,&nbsp;Na Zhang,&nbsp;Yan Zhou,&nbsp;Jianshu Fu,&nbsp;Mario Lanza,&nbsp;Yuan Li,&nbsp;Tianyou Zhai","doi":"10.1002/idm2.70012","DOIUrl":null,"url":null,"abstract":"<p>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<sub>2</sub> (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<sub>2</sub>, drives AI systems toward biological-grade efficiency while maintaining environmental adaptability, representing a critical leap toward autonomous intelligence operating in dynamic real-world settings.</p>","PeriodicalId":100685,"journal":{"name":"Interdisciplinary Materials","volume":"4 5","pages":"709-713"},"PeriodicalIF":24.5000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/idm2.70012","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interdisciplinary Materials","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/idm2.70012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

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, NbOX2 (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 NbOX2, drives AI systems toward biological-grade efficiency while maintaining environmental adaptability, representing a critical leap toward autonomous intelligence operating in dynamic real-world settings.

Abstract Image

用于脑启发多模态感知和计算的二维压电-铁光电半导体
对于需要实时决策和环境适应性的人工智能(AI)系统至关重要的多模态感知,可能会通过NbOX2 (X = Cl, Br, I)等二维(2D)压电-铁-光电(PFOE)半导体得到显著改善。这种改进可以在单个功能组件内实现感觉器官信号(例如,视觉、听觉、味觉和嗅觉)的传感器内融合,克服传统离散传感器架构的限制。这种功能内聚,结合它们最近发现的特性,不仅为扩展感觉模式和开发新机制以建立一体化多模态感知平台提供了坚实的基础,而且为超越人类感觉系统的多感觉集成人工系统铺平了道路。这种采用PFOE半导体的单组件系统大大减轻了模块间通信延迟,同时提高了信息的集成密度,从而避免了实时应用(如嵌入式机器人和沉浸式人机界面)中人工智能硬件架构的持续低效率。这种多模态感知和计算的融合,由2D NbOX2的多物理场耦合实现,推动人工智能系统向生物级效率发展,同时保持环境适应性,代表了在动态现实环境中自主智能操作的关键飞跃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书