상세 보기
- Bag, Atanu;
- Ghosh, Gargi;
- Sultan, M. Junaid;
- Chouhdry, Hamna Haq;
- Hong, Seok Ju;
- ... Lee, Nae-Eung;
- 외 2명
WEB OF SCIENCE
56SCOPUS
51초록
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
- 제목
- Bio-Inspired Sensory Receptors for Artificial-Intelligence Perception
- 저자
- Bag, Atanu; Ghosh, Gargi; Sultan, M. Junaid; Chouhdry, Hamna Haq; Hong, Seok Ju; Trung, Tran Quang; Kang, Geun-Young; Lee, Nae-Eung
- 발행일
- 2025-07
- 유형
- Review; Early Access
- 권
- 37
- 호
- 26