Gargi Ghosh (성균관대학교)

한빛사논문

조회122

Gargi GhoshGargi Ghosh

성균관대학교

Adv. Mater., May 03 2024, | https://doi.org/10.1002/adma.202403150 Bio-Inspired Sensory Receptors for Artificial-Intelligence Perception

Atanu Bag^1,2, Gargi Ghosh ¹, M Junaid Sultan ¹, Hamna Haq Chouhdry³, Seok Ju Hong ¹, Tran Quang Trung ¹, Geun-Young Kang ¹, Nae-Eung Lee ^1,2,3,4

¹School of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon, Gyeonggi-do, 16419, Republic of Korea.

²Research Centre for Advanced Materials Technology, Sungkyunkwan University, Suwon, Gyeonggi-do, 16419, Republic of Korea.

³SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon, Gyeonggi-do, 16419, Republic of Korea.

⁴Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Institute of Quantum Biophysics (IQB) and Biomedical Institute for Convergence at SKKU (BICS), Sungkyunkwan University, Suwon, Gyeonggi-do, 16419, Republic of Korea.

A.B.and G.G.contributed equally to this manuscript.

CORRESPONDING AUTHOR : Nae-Eung Lee

Abstract

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. This article is protected by copyright. All rights reserved.

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형식Review Paper
게재일2024년 05월 (BRIC 등록일 2024-05-14)
연구진국내 연구진
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