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<p>Artificial intelligence technology transforms traditional sensors from passive data collectors into active computing nodes, performing data processing at the edge. This paradigm shift toward in- and near-sensor computing mitigates inherent inefficiencies associated with data traversal between sensing, memory, and processing units. We introduce emerging device technologies, circuit architectures, algorithmic frameworks, and applications implementing artificial intelligence of things. Our perspective presents technical capabilities, implementation challenges, and strategic roadmaps for edge intelligence.</p>

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Edge intelligence through in-sensor and near-sensor computing for the artificial intelligence of things

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月1日

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  • Yongmin Baek,
  • Byungjoon Bae,
  • Hyojin Shin,
  • Charana Sonnadara,
  • Haein Cho,
  • Ching-Yi Lin,
  • Yujia Mu,
  • Cong Shen,
  • Sahil Shah,
  • Gunuk Wang,
  • Kyusang Lee

摘要

Artificial intelligence technology transforms traditional sensors from passive data collectors into active computing nodes, performing data processing at the edge. This paradigm shift toward in- and near-sensor computing mitigates inherent inefficiencies associated with data traversal between sensing, memory, and processing units. We introduce emerging device technologies, circuit architectures, algorithmic frameworks, and applications implementing artificial intelligence of things. Our perspective presents technical capabilities, implementation challenges, and strategic roadmaps for edge intelligence.