Bio-Inspired Sensory Receptors for Artificial-Intelligence Perception
  • Bag, Atanu
  • Ghosh, Gargi
  • Sultan, M. Junaid
  • Chouhdry, Hamna Haq
  • Hong, Seok Ju
  • ... Lee, Nae-Eung
  • 외 2명
Citations

WEB OF SCIENCE

56
Citations

SCOPUS

51

초록

In the era of artificial intelligence (AI), there is a growing interest in replicating human sensory perception. Selective and sensitive bio-inspired sensory receptors with synaptic plasticity have recently gained significant attention in developing energy-efficient AI perception. Various bio-inspired sensory receptors and their applications in AI perception are reviewed here. The critical challenges for the future development of bio-inspired sensory receptors are outlined, emphasizing the need for innovative solutions to overcome hurdles in sensor design, integration, and scalability. AI perception can revolutionize various fields, including human-machine interaction, autonomous systems, medical diagnostics, environmental monitoring, industrial optimization, and assistive technologies. As advancements in bio-inspired sensing continue to accelerate, the promise of creating more intelligent and adaptive AI systems becomes increasingly attainable, marking a significant step forward in the evolution of human-like sensory perception. With the rise of artificial intelligence (AI), there is a growing interest in the development of bio-inspired sensory receptors. This article provides a comprehensive review of different bio-inspired sensory receptors and their applications in AI perception. AI perception has the potential to bring about significant changes in multiple domains, such as human-machine interaction, autonomous systems, medical diagnostics, etc. image

키워드

chemoreceptormechanoreceptorperceptionphotoreceptorsensory receptorthermoreceptorSYNAPTIC TRANSISTORSDEVICESDISCRIMINATIONTEMPERATURENOCICEPTORSINTEGRATIONMECHANISMSSYNAPSESVO2
제목
Bio-Inspired Sensory Receptors for Artificial-Intelligence Perception
저자
Bag, AtanuGhosh, GargiSultan, M. JunaidChouhdry, Hamna HaqHong, Seok JuTrung, Tran QuangKang, Geun-YoungLee, Nae-Eung
DOI
10.1002/adma.202403150
발행일
2025-07
유형
Review; Early Access
저널명
Advanced Materials
37
26