Advance in AI Sensor and AIoT Technology
The integration of artificial intelligence (AI) with sensor technologies is driving significant advancements in AIoT applications. This paper presents recent progress in AI-enhanced self-powered sensors, which enable energy-efficient, autonomous sensing networks, and wearable AI sensors that improve human-machine interaction through adaptive and intelligent sensing. Furthermore, AI-enhanced nanophotonic sensors harness light-matter interactions for ultra-sensitive spectral processing, enabling intelligent analysis of complex optical signals. Finally, we explore photonic waveguides for in-sensor computing, enabling real-time, low-latency edge processing. These developments highlight the trans formative role of AI-integrated sensors in advancing intelligent sensing, computing, and interaction within AIoT ecosystems.
Authors
- Chengkuo Lee (ORCID: https://orcid.org/0000-0002-8886-3649)
- LI Dong-xiao (ORCID: https://orcid.org/0000-0003-1641-5545)
Institutions
- National University of Singapore (SG)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.1109/transducers61432.2025.11111089
- Primary Topic
- Advanced Sensor and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00